AmberYifan commited on
Commit
4222974
1 Parent(s): 6111629

Model save

Browse files
README.md ADDED
@@ -0,0 +1,84 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: alignment-handbook/zephyr-7b-sft-full
4
+ tags:
5
+ - generated_from_trainer
6
+ model-index:
7
+ - name: spin-v-trans
8
+ results: []
9
+ ---
10
+
11
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
12
+ should probably proofread and complete it, then remove this comment. -->
13
+
14
+ # spin-v-trans
15
+
16
+ This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the None dataset.
17
+ It achieves the following results on the evaluation set:
18
+ - Loss: 0.5983
19
+ - Rewards/real: -0.8207
20
+ - Rewards/generated: -1.5904
21
+ - Rewards/accuracies: 0.6831
22
+ - Rewards/margins: 0.7697
23
+ - Logps/generated: -132.1463
24
+ - Logps/real: -142.7898
25
+ - Logits/generated: -2.7538
26
+ - Logits/real: -2.8344
27
+
28
+ ## Model description
29
+
30
+ More information needed
31
+
32
+ ## Intended uses & limitations
33
+
34
+ More information needed
35
+
36
+ ## Training and evaluation data
37
+
38
+ More information needed
39
+
40
+ ## Training procedure
41
+
42
+ ### Training hyperparameters
43
+
44
+ The following hyperparameters were used during training:
45
+ - learning_rate: 5e-07
46
+ - train_batch_size: 8
47
+ - eval_batch_size: 8
48
+ - seed: 42
49
+ - distributed_type: multi-GPU
50
+ - num_devices: 4
51
+ - total_train_batch_size: 32
52
+ - total_eval_batch_size: 32
53
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
54
+ - lr_scheduler_type: linear
55
+ - lr_scheduler_warmup_ratio: 0.1
56
+ - num_epochs: 1
57
+
58
+ ### Training results
59
+
60
+ | Training Loss | Epoch | Step | Validation Loss | Rewards/real | Rewards/generated | Rewards/accuracies | Rewards/margins | Logps/generated | Logps/real | Logits/generated | Logits/real |
61
+ |:-------------:|:-----:|:----:|:---------------:|:------------:|:-----------------:|:------------------:|:---------------:|:---------------:|:----------:|:----------------:|:-----------:|
62
+ | 0.6035 | 0.06 | 100 | 0.5925 | 0.0221 | -0.4614 | 0.6871 | 0.4834 | -120.8558 | -134.3616 | -2.9112 | -2.9634 |
63
+ | 0.6154 | 0.13 | 200 | 0.5946 | -0.3013 | -0.8642 | 0.6887 | 0.5629 | -124.8842 | -137.5959 | -2.8464 | -2.8927 |
64
+ | 0.7218 | 0.19 | 300 | 0.6093 | 0.4121 | -0.1100 | 0.6791 | 0.5220 | -117.3417 | -130.4615 | -2.8558 | -2.9389 |
65
+ | 0.6415 | 0.26 | 400 | 0.6003 | -0.0211 | -0.6809 | 0.6943 | 0.6598 | -123.0508 | -134.7932 | -2.8630 | -2.9343 |
66
+ | 0.6876 | 0.32 | 500 | 0.6062 | -0.7329 | -1.3805 | 0.6728 | 0.6475 | -130.0468 | -141.9119 | -2.8364 | -2.9102 |
67
+ | 0.5849 | 0.38 | 600 | 0.6079 | -1.0222 | -1.8413 | 0.6831 | 0.8190 | -134.6551 | -144.8048 | -2.8346 | -2.9254 |
68
+ | 0.5948 | 0.45 | 700 | 0.6026 | -0.3949 | -1.0789 | 0.6815 | 0.6840 | -127.0314 | -138.5318 | -2.8405 | -2.9282 |
69
+ | 0.6723 | 0.51 | 800 | 0.6017 | -1.0046 | -1.7350 | 0.6791 | 0.7303 | -133.5921 | -144.6288 | -2.8398 | -2.9189 |
70
+ | 0.6436 | 0.58 | 900 | 0.6029 | -0.8739 | -1.5819 | 0.6688 | 0.7080 | -132.0616 | -143.3213 | -2.8060 | -2.8862 |
71
+ | 0.6163 | 0.64 | 1000 | 0.6010 | -0.7903 | -1.6415 | 0.6783 | 0.8512 | -132.6574 | -142.4857 | -2.8003 | -2.8780 |
72
+ | 0.6297 | 0.7 | 1100 | 0.6027 | -0.8523 | -1.5836 | 0.6688 | 0.7313 | -132.0778 | -143.1050 | -2.7848 | -2.8601 |
73
+ | 0.6468 | 0.77 | 1200 | 0.5993 | -0.8984 | -1.7091 | 0.6839 | 0.8107 | -133.3330 | -143.5663 | -2.7862 | -2.8608 |
74
+ | 0.5741 | 0.83 | 1300 | 0.6019 | -0.8763 | -1.6648 | 0.6871 | 0.7886 | -132.8906 | -143.3451 | -2.7748 | -2.8527 |
75
+ | 0.5778 | 0.9 | 1400 | 0.5983 | -0.8584 | -1.6390 | 0.6839 | 0.7805 | -132.6320 | -143.1669 | -2.7596 | -2.8410 |
76
+ | 0.5929 | 0.96 | 1500 | 0.5983 | -0.8207 | -1.5904 | 0.6831 | 0.7697 | -132.1463 | -142.7898 | -2.7538 | -2.8344 |
77
+
78
+
79
+ ### Framework versions
80
+
81
+ - Transformers 4.37.0
82
+ - Pytorch 2.1.2+cu121
83
+ - Datasets 2.14.6
84
+ - Tokenizers 0.15.2
all_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "train_loss": 0.6356648667378831,
4
+ "train_runtime": 12633.5214,
5
+ "train_samples": 50000,
6
+ "train_samples_per_second": 3.958,
7
+ "train_steps_per_second": 0.124
8
+ }
generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 1,
4
+ "eos_token_id": 2,
5
+ "transformers_version": "4.37.0"
6
+ }
model-00001-of-00003.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cfb8e31f60ac01cb2729700b9c9733974c775e620b88ee9cd77c43e7f55e1b6c
3
+ size 4943162336
model-00002-of-00003.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8313298b8ca20a4ad9ce2497b00be70c06365b930e25fdd258836dbcd5224c3c
3
+ size 4999819336
model-00003-of-00003.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:844da2a5761f9a745cd6d008c74f284e8f51cc7c6772741874654465a8da86f7
3
+ size 4540516344
model.safetensors.index.json ADDED
@@ -0,0 +1,298 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 14483464192
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "model-00003-of-00003.safetensors",
7
+ "model.embed_tokens.weight": "model-00001-of-00003.safetensors",
8
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00003.safetensors",
9
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
10
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
11
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
12
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
13
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
14
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
15
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
16
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
17
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00003.safetensors",
18
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
19
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
20
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
21
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
22
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
23
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
24
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
25
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
26
+ "model.layers.10.input_layernorm.weight": "model-00002-of-00003.safetensors",
27
+ "model.layers.10.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
28
+ "model.layers.10.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
29
+ "model.layers.10.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
30
+ "model.layers.10.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
31
+ "model.layers.10.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
32
+ "model.layers.10.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
33
+ "model.layers.10.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
34
+ "model.layers.10.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
35
+ "model.layers.11.input_layernorm.weight": "model-00002-of-00003.safetensors",
36
+ "model.layers.11.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
37
+ "model.layers.11.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
38
+ "model.layers.11.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
39
+ "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
40
+ "model.layers.11.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
41
+ "model.layers.11.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
42
+ "model.layers.11.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
43
+ "model.layers.11.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
44
+ "model.layers.12.input_layernorm.weight": "model-00002-of-00003.safetensors",
45
+ "model.layers.12.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
46
+ "model.layers.12.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
47
+ "model.layers.12.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
48
+ "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
49
+ "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
50
+ "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
51
+ "model.layers.12.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
52
+ "model.layers.12.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
53
+ "model.layers.13.input_layernorm.weight": "model-00002-of-00003.safetensors",
54
+ "model.layers.13.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
55
+ "model.layers.13.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
56
+ "model.layers.13.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
57
+ "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
58
+ "model.layers.13.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
59
+ "model.layers.13.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
60
+ "model.layers.13.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
61
+ "model.layers.13.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
62
+ "model.layers.14.input_layernorm.weight": "model-00002-of-00003.safetensors",
63
+ "model.layers.14.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
64
+ "model.layers.14.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
65
+ "model.layers.14.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
66
+ "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
67
+ "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
68
+ "model.layers.14.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
69
+ "model.layers.14.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
70
+ "model.layers.14.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
71
+ "model.layers.15.input_layernorm.weight": "model-00002-of-00003.safetensors",
72
+ "model.layers.15.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
73
+ "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
74
+ "model.layers.15.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
75
+ "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
76
+ "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
77
+ "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
78
+ "model.layers.15.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
79
+ "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
80
+ "model.layers.16.input_layernorm.weight": "model-00002-of-00003.safetensors",
81
+ "model.layers.16.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
82
+ "model.layers.16.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
83
+ "model.layers.16.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
84
+ "model.layers.16.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
85
+ "model.layers.16.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
86
+ "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
87
+ "model.layers.16.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
88
+ "model.layers.16.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
89
+ "model.layers.17.input_layernorm.weight": "model-00002-of-00003.safetensors",
90
+ "model.layers.17.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
91
+ "model.layers.17.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
92
+ "model.layers.17.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
93
+ "model.layers.17.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
94
+ "model.layers.17.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
95
+ "model.layers.17.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
96
+ "model.layers.17.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
97
+ "model.layers.17.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
98
+ "model.layers.18.input_layernorm.weight": "model-00002-of-00003.safetensors",
99
+ "model.layers.18.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
100
+ "model.layers.18.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
101
+ "model.layers.18.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
102
+ "model.layers.18.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
103
+ "model.layers.18.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
104
+ "model.layers.18.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
105
+ "model.layers.18.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
106
+ "model.layers.18.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
107
+ "model.layers.19.input_layernorm.weight": "model-00002-of-00003.safetensors",
108
+ "model.layers.19.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
109
+ "model.layers.19.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
110
+ "model.layers.19.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
111
+ "model.layers.19.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
112
+ "model.layers.19.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
113
+ "model.layers.19.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
114
+ "model.layers.19.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
115
+ "model.layers.19.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
116
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00003.safetensors",
117
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
118
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
119
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
120
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
121
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
122
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
123
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
124
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
125
+ "model.layers.20.input_layernorm.weight": "model-00002-of-00003.safetensors",
126
+ "model.layers.20.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
127
+ "model.layers.20.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
128
+ "model.layers.20.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
129
+ "model.layers.20.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
130
+ "model.layers.20.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
131
+ "model.layers.20.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
132
+ "model.layers.20.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
133
+ "model.layers.20.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
134
+ "model.layers.21.input_layernorm.weight": "model-00002-of-00003.safetensors",
135
+ "model.layers.21.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
136
+ "model.layers.21.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
137
+ "model.layers.21.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
138
+ "model.layers.21.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
139
+ "model.layers.21.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
140
+ "model.layers.21.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
141
+ "model.layers.21.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
142
+ "model.layers.21.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
143
+ "model.layers.22.input_layernorm.weight": "model-00003-of-00003.safetensors",
144
+ "model.layers.22.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
145
+ "model.layers.22.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
146
+ "model.layers.22.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
147
+ "model.layers.22.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
148
+ "model.layers.22.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
149
+ "model.layers.22.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
150
+ "model.layers.22.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
151
+ "model.layers.22.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
152
+ "model.layers.23.input_layernorm.weight": "model-00003-of-00003.safetensors",
153
+ "model.layers.23.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
154
+ "model.layers.23.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
155
+ "model.layers.23.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
156
+ "model.layers.23.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
157
+ "model.layers.23.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
158
+ "model.layers.23.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
159
+ "model.layers.23.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
160
+ "model.layers.23.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
161
+ "model.layers.24.input_layernorm.weight": "model-00003-of-00003.safetensors",
162
+ "model.layers.24.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
163
+ "model.layers.24.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
164
+ "model.layers.24.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
165
+ "model.layers.24.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
166
+ "model.layers.24.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
167
+ "model.layers.24.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
168
+ "model.layers.24.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
169
+ "model.layers.24.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
170
+ "model.layers.25.input_layernorm.weight": "model-00003-of-00003.safetensors",
171
+ "model.layers.25.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
172
+ "model.layers.25.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
173
+ "model.layers.25.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
174
+ "model.layers.25.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
175
+ "model.layers.25.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
176
+ "model.layers.25.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
177
+ "model.layers.25.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
178
+ "model.layers.25.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
179
+ "model.layers.26.input_layernorm.weight": "model-00003-of-00003.safetensors",
180
+ "model.layers.26.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
181
+ "model.layers.26.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
182
+ "model.layers.26.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
183
+ "model.layers.26.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
184
+ "model.layers.26.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
185
+ "model.layers.26.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
186
+ "model.layers.26.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
187
+ "model.layers.26.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
188
+ "model.layers.27.input_layernorm.weight": "model-00003-of-00003.safetensors",
189
+ "model.layers.27.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
190
+ "model.layers.27.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
191
+ "model.layers.27.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
192
+ "model.layers.27.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
193
+ "model.layers.27.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
194
+ "model.layers.27.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
195
+ "model.layers.27.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
196
+ "model.layers.27.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
197
+ "model.layers.28.input_layernorm.weight": "model-00003-of-00003.safetensors",
198
+ "model.layers.28.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
199
+ "model.layers.28.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
200
+ "model.layers.28.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
201
+ "model.layers.28.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
202
+ "model.layers.28.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
203
+ "model.layers.28.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
204
+ "model.layers.28.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
205
+ "model.layers.28.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
206
+ "model.layers.29.input_layernorm.weight": "model-00003-of-00003.safetensors",
207
+ "model.layers.29.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
208
+ "model.layers.29.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
209
+ "model.layers.29.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
210
+ "model.layers.29.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
211
+ "model.layers.29.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
212
+ "model.layers.29.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
213
+ "model.layers.29.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
214
+ "model.layers.29.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
215
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00003.safetensors",
216
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
217
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
218
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
219
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
220
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
221
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
222
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
223
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
224
+ "model.layers.30.input_layernorm.weight": "model-00003-of-00003.safetensors",
225
+ "model.layers.30.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
226
+ "model.layers.30.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
227
+ "model.layers.30.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
228
+ "model.layers.30.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
229
+ "model.layers.30.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
230
+ "model.layers.30.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
231
+ "model.layers.30.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
232
+ "model.layers.30.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
233
+ "model.layers.31.input_layernorm.weight": "model-00003-of-00003.safetensors",
234
+ "model.layers.31.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
235
+ "model.layers.31.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
236
+ "model.layers.31.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
237
+ "model.layers.31.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
238
+ "model.layers.31.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
239
+ "model.layers.31.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
240
+ "model.layers.31.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
241
+ "model.layers.31.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
242
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00003.safetensors",
243
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
244
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
245
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
246
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
247
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
248
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
249
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
250
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
251
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00003.safetensors",
252
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
253
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
254
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
255
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
256
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
257
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
258
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
259
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
260
+ "model.layers.6.input_layernorm.weight": "model-00001-of-00003.safetensors",
261
+ "model.layers.6.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
262
+ "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
263
+ "model.layers.6.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
264
+ "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
265
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
266
+ "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
267
+ "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
268
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
269
+ "model.layers.7.input_layernorm.weight": "model-00001-of-00003.safetensors",
270
+ "model.layers.7.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
271
+ "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
272
+ "model.layers.7.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
273
+ "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
274
+ "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
275
+ "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
276
+ "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
277
+ "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
278
+ "model.layers.8.input_layernorm.weight": "model-00001-of-00003.safetensors",
279
+ "model.layers.8.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
280
+ "model.layers.8.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
281
+ "model.layers.8.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
282
+ "model.layers.8.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
283
+ "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
284
+ "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
285
+ "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
286
+ "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
287
+ "model.layers.9.input_layernorm.weight": "model-00001-of-00003.safetensors",
288
+ "model.layers.9.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
289
+ "model.layers.9.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
290
+ "model.layers.9.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
291
+ "model.layers.9.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
292
+ "model.layers.9.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
293
+ "model.layers.9.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
294
+ "model.layers.9.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
295
+ "model.layers.9.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
296
+ "model.norm.weight": "model-00003-of-00003.safetensors"
297
+ }
298
+ }
runs/Jun25_00-00-14_gilbreth-j001.rcac.purdue.edu/events.out.tfevents.1719288150.gilbreth-j001.rcac.purdue.edu.234431.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:98cce3722434b16edf22ff3e85c13f71a5547c2a9f976e713a528d81f1f37584
3
- size 110741
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2f0b042524de20891cceb44fb6277c86d9eef0f48e496fdbc0196d09e9e13c57
3
+ size 114881
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "train_loss": 0.6356648667378831,
4
+ "train_runtime": 12633.5214,
5
+ "train_samples": 50000,
6
+ "train_samples_per_second": 3.958,
7
+ "train_steps_per_second": 0.124
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,2468 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.0,
5
+ "eval_steps": 100,
6
+ "global_step": 1563,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0,
13
+ "learning_rate": 3.1847133757961784e-09,
14
+ "logits/generated": -2.9043595790863037,
15
+ "logits/real": -3.0318443775177,
16
+ "logps/generated": -95.60806274414062,
17
+ "logps/real": -162.11865234375,
18
+ "loss": 0.6931,
19
+ "rewards/accuracies": 0.0,
20
+ "rewards/generated": 0.0,
21
+ "rewards/margins": 0.0,
22
+ "rewards/real": 0.0,
23
+ "step": 1
24
+ },
25
+ {
26
+ "epoch": 0.01,
27
+ "learning_rate": 3.184713375796178e-08,
28
+ "logits/generated": -2.9496052265167236,
29
+ "logits/real": -2.9726288318634033,
30
+ "logps/generated": -115.16079711914062,
31
+ "logps/real": -126.27457427978516,
32
+ "loss": 0.6927,
33
+ "rewards/accuracies": 0.4305555522441864,
34
+ "rewards/generated": -0.0005613141693174839,
35
+ "rewards/margins": 0.0011329095577821136,
36
+ "rewards/real": 0.0005715956795029342,
37
+ "step": 10
38
+ },
39
+ {
40
+ "epoch": 0.01,
41
+ "learning_rate": 6.369426751592356e-08,
42
+ "logits/generated": -2.925844192504883,
43
+ "logits/real": -3.0148582458496094,
44
+ "logps/generated": -126.58709716796875,
45
+ "logps/real": -159.16970825195312,
46
+ "loss": 0.6895,
47
+ "rewards/accuracies": 0.550000011920929,
48
+ "rewards/generated": 0.0016155906487256289,
49
+ "rewards/margins": 0.008952249772846699,
50
+ "rewards/real": 0.010567841120064259,
51
+ "step": 20
52
+ },
53
+ {
54
+ "epoch": 0.02,
55
+ "learning_rate": 9.554140127388536e-08,
56
+ "logits/generated": -2.950205087661743,
57
+ "logits/real": -2.9246954917907715,
58
+ "logps/generated": -130.9630126953125,
59
+ "logps/real": -128.04364013671875,
60
+ "loss": 0.6701,
61
+ "rewards/accuracies": 0.6625000238418579,
62
+ "rewards/generated": -0.04806157201528549,
63
+ "rewards/margins": 0.03640877455472946,
64
+ "rewards/real": -0.01165279932320118,
65
+ "step": 30
66
+ },
67
+ {
68
+ "epoch": 0.03,
69
+ "learning_rate": 1.2738853503184713e-07,
70
+ "logits/generated": -2.9109079837799072,
71
+ "logits/real": -2.967057704925537,
72
+ "logps/generated": -126.64833068847656,
73
+ "logps/real": -141.5502166748047,
74
+ "loss": 0.6662,
75
+ "rewards/accuracies": 0.6625000238418579,
76
+ "rewards/generated": -0.1246229037642479,
77
+ "rewards/margins": 0.0738920345902443,
78
+ "rewards/real": -0.0507308654487133,
79
+ "step": 40
80
+ },
81
+ {
82
+ "epoch": 0.03,
83
+ "learning_rate": 1.592356687898089e-07,
84
+ "logits/generated": -2.944676160812378,
85
+ "logits/real": -2.973489284515381,
86
+ "logps/generated": -133.49766540527344,
87
+ "logps/real": -141.7188262939453,
88
+ "loss": 0.6462,
89
+ "rewards/accuracies": 0.637499988079071,
90
+ "rewards/generated": -0.1534460484981537,
91
+ "rewards/margins": 0.09793341904878616,
92
+ "rewards/real": -0.05551263689994812,
93
+ "step": 50
94
+ },
95
+ {
96
+ "epoch": 0.04,
97
+ "learning_rate": 1.9108280254777072e-07,
98
+ "logits/generated": -2.92313814163208,
99
+ "logits/real": -2.9491844177246094,
100
+ "logps/generated": -123.59134674072266,
101
+ "logps/real": -135.57339477539062,
102
+ "loss": 0.6571,
103
+ "rewards/accuracies": 0.5874999761581421,
104
+ "rewards/generated": -0.2681542634963989,
105
+ "rewards/margins": 0.09540877491235733,
106
+ "rewards/real": -0.172745481133461,
107
+ "step": 60
108
+ },
109
+ {
110
+ "epoch": 0.04,
111
+ "learning_rate": 2.2292993630573247e-07,
112
+ "logits/generated": -2.9296579360961914,
113
+ "logits/real": -2.9948348999023438,
114
+ "logps/generated": -124.77592468261719,
115
+ "logps/real": -141.3092041015625,
116
+ "loss": 0.6272,
117
+ "rewards/accuracies": 0.699999988079071,
118
+ "rewards/generated": -0.36597520112991333,
119
+ "rewards/margins": 0.23450367152690887,
120
+ "rewards/real": -0.13147154450416565,
121
+ "step": 70
122
+ },
123
+ {
124
+ "epoch": 0.05,
125
+ "learning_rate": 2.5477707006369425e-07,
126
+ "logits/generated": -2.9382827281951904,
127
+ "logits/real": -2.950681209564209,
128
+ "logps/generated": -126.6854476928711,
129
+ "logps/real": -116.08744049072266,
130
+ "loss": 0.6279,
131
+ "rewards/accuracies": 0.6000000238418579,
132
+ "rewards/generated": -0.6447240114212036,
133
+ "rewards/margins": 0.15082275867462158,
134
+ "rewards/real": -0.49390116333961487,
135
+ "step": 80
136
+ },
137
+ {
138
+ "epoch": 0.06,
139
+ "learning_rate": 2.86624203821656e-07,
140
+ "logits/generated": -2.9626991748809814,
141
+ "logits/real": -2.985078811645508,
142
+ "logps/generated": -151.97203063964844,
143
+ "logps/real": -147.793212890625,
144
+ "loss": 0.5941,
145
+ "rewards/accuracies": 0.699999988079071,
146
+ "rewards/generated": -0.64665687084198,
147
+ "rewards/margins": 0.40791407227516174,
148
+ "rewards/real": -0.23874275386333466,
149
+ "step": 90
150
+ },
151
+ {
152
+ "epoch": 0.06,
153
+ "learning_rate": 3.184713375796178e-07,
154
+ "logits/generated": -2.9504504203796387,
155
+ "logits/real": -3.009941577911377,
156
+ "logps/generated": -127.89019775390625,
157
+ "logps/real": -142.78115844726562,
158
+ "loss": 0.6035,
159
+ "rewards/accuracies": 0.637499988079071,
160
+ "rewards/generated": -0.4942631125450134,
161
+ "rewards/margins": 0.39962121844291687,
162
+ "rewards/real": -0.09464187920093536,
163
+ "step": 100
164
+ },
165
+ {
166
+ "epoch": 0.06,
167
+ "eval_logits/generated": -2.9112277030944824,
168
+ "eval_logits/real": -2.963428497314453,
169
+ "eval_logps/generated": -120.85581970214844,
170
+ "eval_logps/real": -134.36163330078125,
171
+ "eval_loss": 0.592494010925293,
172
+ "eval_rewards/accuracies": 0.6871019005775452,
173
+ "eval_rewards/generated": -0.46135851740837097,
174
+ "eval_rewards/margins": 0.483438104391098,
175
+ "eval_rewards/real": 0.022079583257436752,
176
+ "eval_runtime": 320.9946,
177
+ "eval_samples_per_second": 15.577,
178
+ "eval_steps_per_second": 0.489,
179
+ "step": 100
180
+ },
181
+ {
182
+ "epoch": 0.07,
183
+ "learning_rate": 3.5031847133757957e-07,
184
+ "logits/generated": -2.94885516166687,
185
+ "logits/real": -2.9667720794677734,
186
+ "logps/generated": -132.24411010742188,
187
+ "logps/real": -138.70401000976562,
188
+ "loss": 0.5939,
189
+ "rewards/accuracies": 0.675000011920929,
190
+ "rewards/generated": -0.4684581756591797,
191
+ "rewards/margins": 0.5189403891563416,
192
+ "rewards/real": 0.050482142716646194,
193
+ "step": 110
194
+ },
195
+ {
196
+ "epoch": 0.08,
197
+ "learning_rate": 3.8216560509554143e-07,
198
+ "logits/generated": -2.914760112762451,
199
+ "logits/real": -2.9669089317321777,
200
+ "logps/generated": -131.27503967285156,
201
+ "logps/real": -147.97238159179688,
202
+ "loss": 0.602,
203
+ "rewards/accuracies": 0.6499999761581421,
204
+ "rewards/generated": -0.41060376167297363,
205
+ "rewards/margins": 0.492185115814209,
206
+ "rewards/real": 0.08158136159181595,
207
+ "step": 120
208
+ },
209
+ {
210
+ "epoch": 0.08,
211
+ "learning_rate": 4.140127388535032e-07,
212
+ "logits/generated": -2.9110288619995117,
213
+ "logits/real": -2.9508092403411865,
214
+ "logps/generated": -129.82977294921875,
215
+ "logps/real": -144.04708862304688,
216
+ "loss": 0.655,
217
+ "rewards/accuracies": 0.612500011920929,
218
+ "rewards/generated": -0.6899576187133789,
219
+ "rewards/margins": 0.29959696531295776,
220
+ "rewards/real": -0.3903607130050659,
221
+ "step": 130
222
+ },
223
+ {
224
+ "epoch": 0.09,
225
+ "learning_rate": 4.4585987261146494e-07,
226
+ "logits/generated": -2.8934552669525146,
227
+ "logits/real": -2.918970823287964,
228
+ "logps/generated": -116.09012603759766,
229
+ "logps/real": -121.42826080322266,
230
+ "loss": 0.6225,
231
+ "rewards/accuracies": 0.637499988079071,
232
+ "rewards/generated": -0.5983424186706543,
233
+ "rewards/margins": 0.2791465222835541,
234
+ "rewards/real": -0.31919583678245544,
235
+ "step": 140
236
+ },
237
+ {
238
+ "epoch": 0.1,
239
+ "learning_rate": 4.777070063694267e-07,
240
+ "logits/generated": -2.8588805198669434,
241
+ "logits/real": -2.905513048171997,
242
+ "logps/generated": -123.76139068603516,
243
+ "logps/real": -135.1915283203125,
244
+ "loss": 0.6297,
245
+ "rewards/accuracies": 0.6875,
246
+ "rewards/generated": -0.826836884021759,
247
+ "rewards/margins": 0.6088964343070984,
248
+ "rewards/real": -0.21794041991233826,
249
+ "step": 150
250
+ },
251
+ {
252
+ "epoch": 0.1,
253
+ "learning_rate": 4.989331436699858e-07,
254
+ "logits/generated": -2.8500113487243652,
255
+ "logits/real": -2.9133572578430176,
256
+ "logps/generated": -138.90496826171875,
257
+ "logps/real": -147.51112365722656,
258
+ "loss": 0.5997,
259
+ "rewards/accuracies": 0.6499999761581421,
260
+ "rewards/generated": -0.5559502840042114,
261
+ "rewards/margins": 0.44744768738746643,
262
+ "rewards/real": -0.10850252956151962,
263
+ "step": 160
264
+ },
265
+ {
266
+ "epoch": 0.11,
267
+ "learning_rate": 4.953769559032717e-07,
268
+ "logits/generated": -2.7749171257019043,
269
+ "logits/real": -2.8795857429504395,
270
+ "logps/generated": -112.4853515625,
271
+ "logps/real": -137.61013793945312,
272
+ "loss": 0.5703,
273
+ "rewards/accuracies": 0.675000011920929,
274
+ "rewards/generated": -1.144225835800171,
275
+ "rewards/margins": 0.8240048289299011,
276
+ "rewards/real": -0.32022103667259216,
277
+ "step": 170
278
+ },
279
+ {
280
+ "epoch": 0.12,
281
+ "learning_rate": 4.918207681365576e-07,
282
+ "logits/generated": -2.8241965770721436,
283
+ "logits/real": -2.899482250213623,
284
+ "logps/generated": -123.1147232055664,
285
+ "logps/real": -140.4021759033203,
286
+ "loss": 0.6273,
287
+ "rewards/accuracies": 0.7124999761581421,
288
+ "rewards/generated": -0.580504298210144,
289
+ "rewards/margins": 0.6617487668991089,
290
+ "rewards/real": 0.08124445378780365,
291
+ "step": 180
292
+ },
293
+ {
294
+ "epoch": 0.12,
295
+ "learning_rate": 4.882645803698435e-07,
296
+ "logits/generated": -2.8152451515197754,
297
+ "logits/real": -2.8969357013702393,
298
+ "logps/generated": -118.85482025146484,
299
+ "logps/real": -131.64207458496094,
300
+ "loss": 0.626,
301
+ "rewards/accuracies": 0.675000011920929,
302
+ "rewards/generated": -0.8428341150283813,
303
+ "rewards/margins": 0.712174654006958,
304
+ "rewards/real": -0.13065943121910095,
305
+ "step": 190
306
+ },
307
+ {
308
+ "epoch": 0.13,
309
+ "learning_rate": 4.847083926031294e-07,
310
+ "logits/generated": -2.8368003368377686,
311
+ "logits/real": -2.8934528827667236,
312
+ "logps/generated": -124.17633056640625,
313
+ "logps/real": -133.32460021972656,
314
+ "loss": 0.6154,
315
+ "rewards/accuracies": 0.625,
316
+ "rewards/generated": -1.0640162229537964,
317
+ "rewards/margins": 0.585637629032135,
318
+ "rewards/real": -0.47837844491004944,
319
+ "step": 200
320
+ },
321
+ {
322
+ "epoch": 0.13,
323
+ "eval_logits/generated": -2.846381902694702,
324
+ "eval_logits/real": -2.8926753997802734,
325
+ "eval_logps/generated": -124.88420867919922,
326
+ "eval_logps/real": -137.59585571289062,
327
+ "eval_loss": 0.5945761799812317,
328
+ "eval_rewards/accuracies": 0.6886942386627197,
329
+ "eval_rewards/generated": -0.8641979694366455,
330
+ "eval_rewards/margins": 0.5628555417060852,
331
+ "eval_rewards/real": -0.3013423681259155,
332
+ "eval_runtime": 314.2657,
333
+ "eval_samples_per_second": 15.91,
334
+ "eval_steps_per_second": 0.5,
335
+ "step": 200
336
+ },
337
+ {
338
+ "epoch": 0.13,
339
+ "learning_rate": 4.811522048364154e-07,
340
+ "logits/generated": -2.8265631198883057,
341
+ "logits/real": -2.872185468673706,
342
+ "logps/generated": -116.153564453125,
343
+ "logps/real": -129.70101928710938,
344
+ "loss": 0.6439,
345
+ "rewards/accuracies": 0.6499999761581421,
346
+ "rewards/generated": -0.9046352505683899,
347
+ "rewards/margins": 0.5383676290512085,
348
+ "rewards/real": -0.3662675619125366,
349
+ "step": 210
350
+ },
351
+ {
352
+ "epoch": 0.14,
353
+ "learning_rate": 4.775960170697012e-07,
354
+ "logits/generated": -2.8761754035949707,
355
+ "logits/real": -2.8833699226379395,
356
+ "logps/generated": -143.34608459472656,
357
+ "logps/real": -140.4290771484375,
358
+ "loss": 0.7048,
359
+ "rewards/accuracies": 0.637499988079071,
360
+ "rewards/generated": -0.5727646350860596,
361
+ "rewards/margins": 0.421123743057251,
362
+ "rewards/real": -0.1516408622264862,
363
+ "step": 220
364
+ },
365
+ {
366
+ "epoch": 0.15,
367
+ "learning_rate": 4.7403982930298717e-07,
368
+ "logits/generated": -2.8488383293151855,
369
+ "logits/real": -2.86686372756958,
370
+ "logps/generated": -124.8054428100586,
371
+ "logps/real": -137.43142700195312,
372
+ "loss": 0.6624,
373
+ "rewards/accuracies": 0.675000011920929,
374
+ "rewards/generated": -0.386758029460907,
375
+ "rewards/margins": 0.39915674924850464,
376
+ "rewards/real": 0.012398702092468739,
377
+ "step": 230
378
+ },
379
+ {
380
+ "epoch": 0.15,
381
+ "learning_rate": 4.7048364153627306e-07,
382
+ "logits/generated": -2.8755905628204346,
383
+ "logits/real": -2.850111722946167,
384
+ "logps/generated": -144.16363525390625,
385
+ "logps/real": -137.38861083984375,
386
+ "loss": 0.6973,
387
+ "rewards/accuracies": 0.6499999761581421,
388
+ "rewards/generated": -0.42233890295028687,
389
+ "rewards/margins": 0.6668346524238586,
390
+ "rewards/real": 0.2444957047700882,
391
+ "step": 240
392
+ },
393
+ {
394
+ "epoch": 0.16,
395
+ "learning_rate": 4.66927453769559e-07,
396
+ "logits/generated": -2.8914976119995117,
397
+ "logits/real": -2.909574508666992,
398
+ "logps/generated": -134.83218383789062,
399
+ "logps/real": -144.05287170410156,
400
+ "loss": 0.6039,
401
+ "rewards/accuracies": 0.699999988079071,
402
+ "rewards/generated": -0.9402686953544617,
403
+ "rewards/margins": 0.6465772390365601,
404
+ "rewards/real": -0.2936915159225464,
405
+ "step": 250
406
+ },
407
+ {
408
+ "epoch": 0.17,
409
+ "learning_rate": 4.633712660028449e-07,
410
+ "logits/generated": -2.8130080699920654,
411
+ "logits/real": -2.9388322830200195,
412
+ "logps/generated": -131.2688751220703,
413
+ "logps/real": -148.659423828125,
414
+ "loss": 0.6259,
415
+ "rewards/accuracies": 0.675000011920929,
416
+ "rewards/generated": -0.9782902598381042,
417
+ "rewards/margins": 0.6731352806091309,
418
+ "rewards/real": -0.30515503883361816,
419
+ "step": 260
420
+ },
421
+ {
422
+ "epoch": 0.17,
423
+ "learning_rate": 4.5981507823613085e-07,
424
+ "logits/generated": -2.8650355339050293,
425
+ "logits/real": -2.8830349445343018,
426
+ "logps/generated": -133.54998779296875,
427
+ "logps/real": -143.64295959472656,
428
+ "loss": 0.6478,
429
+ "rewards/accuracies": 0.7124999761581421,
430
+ "rewards/generated": -1.038545846939087,
431
+ "rewards/margins": 0.5988888144493103,
432
+ "rewards/real": -0.43965697288513184,
433
+ "step": 270
434
+ },
435
+ {
436
+ "epoch": 0.18,
437
+ "learning_rate": 4.562588904694168e-07,
438
+ "logits/generated": -2.8448922634124756,
439
+ "logits/real": -2.893357515335083,
440
+ "logps/generated": -126.46229553222656,
441
+ "logps/real": -135.95480346679688,
442
+ "loss": 0.6228,
443
+ "rewards/accuracies": 0.6875,
444
+ "rewards/generated": -1.1257703304290771,
445
+ "rewards/margins": 0.6330925822257996,
446
+ "rewards/real": -0.4926776885986328,
447
+ "step": 280
448
+ },
449
+ {
450
+ "epoch": 0.19,
451
+ "learning_rate": 4.5270270270270264e-07,
452
+ "logits/generated": -2.8617606163024902,
453
+ "logits/real": -2.907224416732788,
454
+ "logps/generated": -127.72086334228516,
455
+ "logps/real": -138.37338256835938,
456
+ "loss": 0.6585,
457
+ "rewards/accuracies": 0.6499999761581421,
458
+ "rewards/generated": -0.6692047119140625,
459
+ "rewards/margins": 0.41642865538597107,
460
+ "rewards/real": -0.2527760863304138,
461
+ "step": 290
462
+ },
463
+ {
464
+ "epoch": 0.19,
465
+ "learning_rate": 4.491465149359886e-07,
466
+ "logits/generated": -2.8157684803009033,
467
+ "logits/real": -2.9448578357696533,
468
+ "logps/generated": -115.7210464477539,
469
+ "logps/real": -135.6936798095703,
470
+ "loss": 0.7218,
471
+ "rewards/accuracies": 0.7124999761581421,
472
+ "rewards/generated": -0.04884980991482735,
473
+ "rewards/margins": 0.3899938464164734,
474
+ "rewards/real": 0.34114405512809753,
475
+ "step": 300
476
+ },
477
+ {
478
+ "epoch": 0.19,
479
+ "eval_logits/generated": -2.8557660579681396,
480
+ "eval_logits/real": -2.938932180404663,
481
+ "eval_logps/generated": -117.34172058105469,
482
+ "eval_logps/real": -130.4615478515625,
483
+ "eval_loss": 0.6092967987060547,
484
+ "eval_rewards/accuracies": 0.6791401505470276,
485
+ "eval_rewards/generated": -0.10995037853717804,
486
+ "eval_rewards/margins": 0.5220382809638977,
487
+ "eval_rewards/real": 0.41208788752555847,
488
+ "eval_runtime": 313.617,
489
+ "eval_samples_per_second": 15.943,
490
+ "eval_steps_per_second": 0.501,
491
+ "step": 300
492
+ },
493
+ {
494
+ "epoch": 0.2,
495
+ "learning_rate": 4.4559032716927454e-07,
496
+ "logits/generated": -2.820242404937744,
497
+ "logits/real": -2.932029962539673,
498
+ "logps/generated": -110.3979721069336,
499
+ "logps/real": -128.57955932617188,
500
+ "loss": 0.7051,
501
+ "rewards/accuracies": 0.6625000238418579,
502
+ "rewards/generated": -0.46763068437576294,
503
+ "rewards/margins": 0.7681630849838257,
504
+ "rewards/real": 0.3005323112010956,
505
+ "step": 310
506
+ },
507
+ {
508
+ "epoch": 0.2,
509
+ "learning_rate": 4.420341394025605e-07,
510
+ "logits/generated": -2.867724895477295,
511
+ "logits/real": -2.9374239444732666,
512
+ "logps/generated": -121.03181457519531,
513
+ "logps/real": -131.03138732910156,
514
+ "loss": 0.613,
515
+ "rewards/accuracies": 0.6875,
516
+ "rewards/generated": -0.9018260836601257,
517
+ "rewards/margins": 0.7947210073471069,
518
+ "rewards/real": -0.10710500180721283,
519
+ "step": 320
520
+ },
521
+ {
522
+ "epoch": 0.21,
523
+ "learning_rate": 4.384779516358463e-07,
524
+ "logits/generated": -2.9186887741088867,
525
+ "logits/real": -2.9603030681610107,
526
+ "logps/generated": -136.2305145263672,
527
+ "logps/real": -141.52938842773438,
528
+ "loss": 0.7222,
529
+ "rewards/accuracies": 0.6499999761581421,
530
+ "rewards/generated": -1.0479620695114136,
531
+ "rewards/margins": 0.24121908843517303,
532
+ "rewards/real": -0.8067429661750793,
533
+ "step": 330
534
+ },
535
+ {
536
+ "epoch": 0.22,
537
+ "learning_rate": 4.3492176386913227e-07,
538
+ "logits/generated": -2.884328603744507,
539
+ "logits/real": -2.9852678775787354,
540
+ "logps/generated": -134.2027130126953,
541
+ "logps/real": -157.81533813476562,
542
+ "loss": 0.6392,
543
+ "rewards/accuracies": 0.6875,
544
+ "rewards/generated": -1.0355875492095947,
545
+ "rewards/margins": 0.5947176218032837,
546
+ "rewards/real": -0.44086989760398865,
547
+ "step": 340
548
+ },
549
+ {
550
+ "epoch": 0.22,
551
+ "learning_rate": 4.313655761024182e-07,
552
+ "logits/generated": -2.9303040504455566,
553
+ "logits/real": -2.9080405235290527,
554
+ "logps/generated": -133.62733459472656,
555
+ "logps/real": -135.67965698242188,
556
+ "loss": 0.7259,
557
+ "rewards/accuracies": 0.675000011920929,
558
+ "rewards/generated": -0.7619242072105408,
559
+ "rewards/margins": 0.7297625541687012,
560
+ "rewards/real": -0.03216175362467766,
561
+ "step": 350
562
+ },
563
+ {
564
+ "epoch": 0.23,
565
+ "learning_rate": 4.278093883357041e-07,
566
+ "logits/generated": -2.907813549041748,
567
+ "logits/real": -2.8927502632141113,
568
+ "logps/generated": -135.63803100585938,
569
+ "logps/real": -127.85164642333984,
570
+ "loss": 0.6128,
571
+ "rewards/accuracies": 0.675000011920929,
572
+ "rewards/generated": -0.8036858439445496,
573
+ "rewards/margins": 0.7827543020248413,
574
+ "rewards/real": -0.020931486040353775,
575
+ "step": 360
576
+ },
577
+ {
578
+ "epoch": 0.24,
579
+ "learning_rate": 4.2425320056899e-07,
580
+ "logits/generated": -2.8933119773864746,
581
+ "logits/real": -2.90037202835083,
582
+ "logps/generated": -123.38737487792969,
583
+ "logps/real": -129.03187561035156,
584
+ "loss": 0.6147,
585
+ "rewards/accuracies": 0.7124999761581421,
586
+ "rewards/generated": -0.838703453540802,
587
+ "rewards/margins": 0.6072388291358948,
588
+ "rewards/real": -0.2314646691083908,
589
+ "step": 370
590
+ },
591
+ {
592
+ "epoch": 0.24,
593
+ "learning_rate": 4.2069701280227595e-07,
594
+ "logits/generated": -2.8591134548187256,
595
+ "logits/real": -2.924983263015747,
596
+ "logps/generated": -133.0351104736328,
597
+ "logps/real": -132.64010620117188,
598
+ "loss": 0.6723,
599
+ "rewards/accuracies": 0.574999988079071,
600
+ "rewards/generated": -0.3996178209781647,
601
+ "rewards/margins": 0.408294141292572,
602
+ "rewards/real": 0.008676335215568542,
603
+ "step": 380
604
+ },
605
+ {
606
+ "epoch": 0.25,
607
+ "learning_rate": 4.1714082503556185e-07,
608
+ "logits/generated": -2.829285144805908,
609
+ "logits/real": -2.9132728576660156,
610
+ "logps/generated": -115.08140563964844,
611
+ "logps/real": -116.62813568115234,
612
+ "loss": 0.6199,
613
+ "rewards/accuracies": 0.7124999761581421,
614
+ "rewards/generated": -0.39587754011154175,
615
+ "rewards/margins": 0.7312180995941162,
616
+ "rewards/real": 0.33534055948257446,
617
+ "step": 390
618
+ },
619
+ {
620
+ "epoch": 0.26,
621
+ "learning_rate": 4.135846372688478e-07,
622
+ "logits/generated": -2.896308422088623,
623
+ "logits/real": -2.9679720401763916,
624
+ "logps/generated": -134.25875854492188,
625
+ "logps/real": -145.1576385498047,
626
+ "loss": 0.6415,
627
+ "rewards/accuracies": 0.6875,
628
+ "rewards/generated": -0.8689187169075012,
629
+ "rewards/margins": 0.8677636981010437,
630
+ "rewards/real": -0.0011550008784979582,
631
+ "step": 400
632
+ },
633
+ {
634
+ "epoch": 0.26,
635
+ "eval_logits/generated": -2.863023519515991,
636
+ "eval_logits/real": -2.934311866760254,
637
+ "eval_logps/generated": -123.05078125,
638
+ "eval_logps/real": -134.793212890625,
639
+ "eval_loss": 0.6002771258354187,
640
+ "eval_rewards/accuracies": 0.6942675113677979,
641
+ "eval_rewards/generated": -0.6808551549911499,
642
+ "eval_rewards/margins": 0.6597769260406494,
643
+ "eval_rewards/real": -0.0210782028734684,
644
+ "eval_runtime": 312.5846,
645
+ "eval_samples_per_second": 15.996,
646
+ "eval_steps_per_second": 0.502,
647
+ "step": 400
648
+ },
649
+ {
650
+ "epoch": 0.26,
651
+ "learning_rate": 4.100284495021337e-07,
652
+ "logits/generated": -2.9025797843933105,
653
+ "logits/real": -2.8970775604248047,
654
+ "logps/generated": -138.23733520507812,
655
+ "logps/real": -131.90760803222656,
656
+ "loss": 0.6279,
657
+ "rewards/accuracies": 0.7124999761581421,
658
+ "rewards/generated": -0.9198619723320007,
659
+ "rewards/margins": 0.8169810175895691,
660
+ "rewards/real": -0.10288095474243164,
661
+ "step": 410
662
+ },
663
+ {
664
+ "epoch": 0.27,
665
+ "learning_rate": 4.064722617354196e-07,
666
+ "logits/generated": -2.9897818565368652,
667
+ "logits/real": -2.8572428226470947,
668
+ "logps/generated": -155.53582763671875,
669
+ "logps/real": -140.32861328125,
670
+ "loss": 0.7277,
671
+ "rewards/accuracies": 0.637499988079071,
672
+ "rewards/generated": -0.9986831545829773,
673
+ "rewards/margins": 0.6315004825592041,
674
+ "rewards/real": -0.3671826422214508,
675
+ "step": 420
676
+ },
677
+ {
678
+ "epoch": 0.28,
679
+ "learning_rate": 4.0291607396870553e-07,
680
+ "logits/generated": -2.8571627140045166,
681
+ "logits/real": -2.9783432483673096,
682
+ "logps/generated": -129.95596313476562,
683
+ "logps/real": -152.39735412597656,
684
+ "loss": 0.7234,
685
+ "rewards/accuracies": 0.612500011920929,
686
+ "rewards/generated": -0.7651321887969971,
687
+ "rewards/margins": 0.3509063124656677,
688
+ "rewards/real": -0.41422587633132935,
689
+ "step": 430
690
+ },
691
+ {
692
+ "epoch": 0.28,
693
+ "learning_rate": 3.993598862019915e-07,
694
+ "logits/generated": -2.90661883354187,
695
+ "logits/real": -2.907402515411377,
696
+ "logps/generated": -126.6184310913086,
697
+ "logps/real": -135.4339599609375,
698
+ "loss": 0.5952,
699
+ "rewards/accuracies": 0.7749999761581421,
700
+ "rewards/generated": -0.9488459825515747,
701
+ "rewards/margins": 0.9613292813301086,
702
+ "rewards/real": 0.012483302503824234,
703
+ "step": 440
704
+ },
705
+ {
706
+ "epoch": 0.29,
707
+ "learning_rate": 3.9580369843527737e-07,
708
+ "logits/generated": -2.8979873657226562,
709
+ "logits/real": -2.978975296020508,
710
+ "logps/generated": -144.71261596679688,
711
+ "logps/real": -157.7671661376953,
712
+ "loss": 0.6472,
713
+ "rewards/accuracies": 0.6875,
714
+ "rewards/generated": -0.828133225440979,
715
+ "rewards/margins": 0.6528965830802917,
716
+ "rewards/real": -0.17523646354675293,
717
+ "step": 450
718
+ },
719
+ {
720
+ "epoch": 0.29,
721
+ "learning_rate": 3.9224751066856327e-07,
722
+ "logits/generated": -2.9304752349853516,
723
+ "logits/real": -2.9112486839294434,
724
+ "logps/generated": -150.48779296875,
725
+ "logps/real": -142.08993530273438,
726
+ "loss": 0.617,
727
+ "rewards/accuracies": 0.6875,
728
+ "rewards/generated": -1.05068039894104,
729
+ "rewards/margins": 0.7404968738555908,
730
+ "rewards/real": -0.31018346548080444,
731
+ "step": 460
732
+ },
733
+ {
734
+ "epoch": 0.3,
735
+ "learning_rate": 3.886913229018492e-07,
736
+ "logits/generated": -2.833413600921631,
737
+ "logits/real": -2.927903652191162,
738
+ "logps/generated": -137.7316436767578,
739
+ "logps/real": -149.27978515625,
740
+ "loss": 0.7084,
741
+ "rewards/accuracies": 0.637499988079071,
742
+ "rewards/generated": -1.6642704010009766,
743
+ "rewards/margins": 0.5741457939147949,
744
+ "rewards/real": -1.090124487876892,
745
+ "step": 470
746
+ },
747
+ {
748
+ "epoch": 0.31,
749
+ "learning_rate": 3.851351351351351e-07,
750
+ "logits/generated": -2.876814126968384,
751
+ "logits/real": -2.9213833808898926,
752
+ "logps/generated": -137.88467407226562,
753
+ "logps/real": -141.27908325195312,
754
+ "loss": 0.6283,
755
+ "rewards/accuracies": 0.75,
756
+ "rewards/generated": -1.994659423828125,
757
+ "rewards/margins": 0.8866125345230103,
758
+ "rewards/real": -1.1080471277236938,
759
+ "step": 480
760
+ },
761
+ {
762
+ "epoch": 0.31,
763
+ "learning_rate": 3.8157894736842105e-07,
764
+ "logits/generated": -2.867941379547119,
765
+ "logits/real": -2.907710075378418,
766
+ "logps/generated": -148.14093017578125,
767
+ "logps/real": -143.94232177734375,
768
+ "loss": 0.6579,
769
+ "rewards/accuracies": 0.7250000238418579,
770
+ "rewards/generated": -1.7410551309585571,
771
+ "rewards/margins": 1.0998215675354004,
772
+ "rewards/real": -0.6412338018417358,
773
+ "step": 490
774
+ },
775
+ {
776
+ "epoch": 0.32,
777
+ "learning_rate": 3.7802275960170695e-07,
778
+ "logits/generated": -2.893672466278076,
779
+ "logits/real": -2.9028027057647705,
780
+ "logps/generated": -145.03538513183594,
781
+ "logps/real": -139.4706268310547,
782
+ "loss": 0.6876,
783
+ "rewards/accuracies": 0.625,
784
+ "rewards/generated": -1.2101993560791016,
785
+ "rewards/margins": 0.6310919523239136,
786
+ "rewards/real": -0.5791072249412537,
787
+ "step": 500
788
+ },
789
+ {
790
+ "epoch": 0.32,
791
+ "eval_logits/generated": -2.836423873901367,
792
+ "eval_logits/real": -2.910181999206543,
793
+ "eval_logps/generated": -130.0467987060547,
794
+ "eval_logps/real": -141.91192626953125,
795
+ "eval_loss": 0.6061537861824036,
796
+ "eval_rewards/accuracies": 0.6727706789970398,
797
+ "eval_rewards/generated": -1.3804560899734497,
798
+ "eval_rewards/margins": 0.6475077271461487,
799
+ "eval_rewards/real": -0.7329482436180115,
800
+ "eval_runtime": 312.1361,
801
+ "eval_samples_per_second": 16.019,
802
+ "eval_steps_per_second": 0.503,
803
+ "step": 500
804
+ },
805
+ {
806
+ "epoch": 0.33,
807
+ "learning_rate": 3.7446657183499284e-07,
808
+ "logits/generated": -2.8054213523864746,
809
+ "logits/real": -2.8959434032440186,
810
+ "logps/generated": -137.50283813476562,
811
+ "logps/real": -146.76283264160156,
812
+ "loss": 0.6911,
813
+ "rewards/accuracies": 0.6625000238418579,
814
+ "rewards/generated": -1.2926948070526123,
815
+ "rewards/margins": 0.6764450669288635,
816
+ "rewards/real": -0.6162497997283936,
817
+ "step": 510
818
+ },
819
+ {
820
+ "epoch": 0.33,
821
+ "learning_rate": 3.709103840682788e-07,
822
+ "logits/generated": -2.8815009593963623,
823
+ "logits/real": -2.8959944248199463,
824
+ "logps/generated": -139.5189666748047,
825
+ "logps/real": -146.14120483398438,
826
+ "loss": 0.6903,
827
+ "rewards/accuracies": 0.7250000238418579,
828
+ "rewards/generated": -1.8085136413574219,
829
+ "rewards/margins": 0.8203228712081909,
830
+ "rewards/real": -0.988190770149231,
831
+ "step": 520
832
+ },
833
+ {
834
+ "epoch": 0.34,
835
+ "learning_rate": 3.6735419630156474e-07,
836
+ "logits/generated": -2.8573758602142334,
837
+ "logits/real": -2.890807628631592,
838
+ "logps/generated": -132.2734375,
839
+ "logps/real": -136.5230255126953,
840
+ "loss": 0.5943,
841
+ "rewards/accuracies": 0.7124999761581421,
842
+ "rewards/generated": -1.7565529346466064,
843
+ "rewards/margins": 0.6700723767280579,
844
+ "rewards/real": -1.0864803791046143,
845
+ "step": 530
846
+ },
847
+ {
848
+ "epoch": 0.35,
849
+ "learning_rate": 3.637980085348506e-07,
850
+ "logits/generated": -2.7691547870635986,
851
+ "logits/real": -2.9011363983154297,
852
+ "logps/generated": -123.21565246582031,
853
+ "logps/real": -140.19796752929688,
854
+ "loss": 0.6908,
855
+ "rewards/accuracies": 0.7124999761581421,
856
+ "rewards/generated": -1.4617164134979248,
857
+ "rewards/margins": 0.5445016026496887,
858
+ "rewards/real": -0.9172147512435913,
859
+ "step": 540
860
+ },
861
+ {
862
+ "epoch": 0.35,
863
+ "learning_rate": 3.602418207681365e-07,
864
+ "logits/generated": -2.863327980041504,
865
+ "logits/real": -2.8315365314483643,
866
+ "logps/generated": -139.07894897460938,
867
+ "logps/real": -139.32464599609375,
868
+ "loss": 0.7007,
869
+ "rewards/accuracies": 0.637499988079071,
870
+ "rewards/generated": -1.1674206256866455,
871
+ "rewards/margins": 0.35725370049476624,
872
+ "rewards/real": -0.8101669549942017,
873
+ "step": 550
874
+ },
875
+ {
876
+ "epoch": 0.36,
877
+ "learning_rate": 3.5668563300142247e-07,
878
+ "logits/generated": -2.84228777885437,
879
+ "logits/real": -2.9253830909729004,
880
+ "logps/generated": -138.79415893554688,
881
+ "logps/real": -131.2203826904297,
882
+ "loss": 0.6865,
883
+ "rewards/accuracies": 0.6875,
884
+ "rewards/generated": -1.115051507949829,
885
+ "rewards/margins": 1.0375287532806396,
886
+ "rewards/real": -0.07752259820699692,
887
+ "step": 560
888
+ },
889
+ {
890
+ "epoch": 0.36,
891
+ "learning_rate": 3.5312944523470837e-07,
892
+ "logits/generated": -2.8042409420013428,
893
+ "logits/real": -2.951826810836792,
894
+ "logps/generated": -134.45884704589844,
895
+ "logps/real": -145.27365112304688,
896
+ "loss": 0.6188,
897
+ "rewards/accuracies": 0.6499999761581421,
898
+ "rewards/generated": -1.4238983392715454,
899
+ "rewards/margins": 0.7379240393638611,
900
+ "rewards/real": -0.6859742999076843,
901
+ "step": 570
902
+ },
903
+ {
904
+ "epoch": 0.37,
905
+ "learning_rate": 3.495732574679943e-07,
906
+ "logits/generated": -2.7836008071899414,
907
+ "logits/real": -2.9870457649230957,
908
+ "logps/generated": -135.55392456054688,
909
+ "logps/real": -158.0802459716797,
910
+ "loss": 0.6584,
911
+ "rewards/accuracies": 0.6625000238418579,
912
+ "rewards/generated": -1.674433946609497,
913
+ "rewards/margins": 0.6915053129196167,
914
+ "rewards/real": -0.982928454875946,
915
+ "step": 580
916
+ },
917
+ {
918
+ "epoch": 0.38,
919
+ "learning_rate": 3.460170697012802e-07,
920
+ "logits/generated": -2.854656219482422,
921
+ "logits/real": -2.8894591331481934,
922
+ "logps/generated": -128.78138732910156,
923
+ "logps/real": -123.89408874511719,
924
+ "loss": 0.6294,
925
+ "rewards/accuracies": 0.6875,
926
+ "rewards/generated": -1.5515716075897217,
927
+ "rewards/margins": 0.5374225378036499,
928
+ "rewards/real": -1.0141491889953613,
929
+ "step": 590
930
+ },
931
+ {
932
+ "epoch": 0.38,
933
+ "learning_rate": 3.424608819345661e-07,
934
+ "logits/generated": -2.8014330863952637,
935
+ "logits/real": -2.9254088401794434,
936
+ "logps/generated": -132.14515686035156,
937
+ "logps/real": -152.46603393554688,
938
+ "loss": 0.5849,
939
+ "rewards/accuracies": 0.7749999761581421,
940
+ "rewards/generated": -2.0465548038482666,
941
+ "rewards/margins": 1.0699055194854736,
942
+ "rewards/real": -0.976649284362793,
943
+ "step": 600
944
+ },
945
+ {
946
+ "epoch": 0.38,
947
+ "eval_logits/generated": -2.8346359729766846,
948
+ "eval_logits/real": -2.925360918045044,
949
+ "eval_logps/generated": -134.65505981445312,
950
+ "eval_logps/real": -144.80482482910156,
951
+ "eval_loss": 0.6078768372535706,
952
+ "eval_rewards/accuracies": 0.6831210255622864,
953
+ "eval_rewards/generated": -1.8412829637527466,
954
+ "eval_rewards/margins": 0.8190432786941528,
955
+ "eval_rewards/real": -1.0222396850585938,
956
+ "eval_runtime": 309.6541,
957
+ "eval_samples_per_second": 16.147,
958
+ "eval_steps_per_second": 0.507,
959
+ "step": 600
960
+ },
961
+ {
962
+ "epoch": 0.39,
963
+ "learning_rate": 3.3890469416785205e-07,
964
+ "logits/generated": -2.8233141899108887,
965
+ "logits/real": -2.9481401443481445,
966
+ "logps/generated": -137.22264099121094,
967
+ "logps/real": -152.15045166015625,
968
+ "loss": 0.6745,
969
+ "rewards/accuracies": 0.625,
970
+ "rewards/generated": -1.7551801204681396,
971
+ "rewards/margins": 0.62352454662323,
972
+ "rewards/real": -1.1316556930541992,
973
+ "step": 610
974
+ },
975
+ {
976
+ "epoch": 0.4,
977
+ "learning_rate": 3.35348506401138e-07,
978
+ "logits/generated": -2.8389840126037598,
979
+ "logits/real": -2.824481725692749,
980
+ "logps/generated": -123.14152526855469,
981
+ "logps/real": -124.35445404052734,
982
+ "loss": 0.6733,
983
+ "rewards/accuracies": 0.6625000238418579,
984
+ "rewards/generated": -1.4588735103607178,
985
+ "rewards/margins": 0.8291076421737671,
986
+ "rewards/real": -0.6297658681869507,
987
+ "step": 620
988
+ },
989
+ {
990
+ "epoch": 0.4,
991
+ "learning_rate": 3.3179231863442384e-07,
992
+ "logits/generated": -2.910172700881958,
993
+ "logits/real": -2.9429709911346436,
994
+ "logps/generated": -144.48809814453125,
995
+ "logps/real": -145.07113647460938,
996
+ "loss": 0.6497,
997
+ "rewards/accuracies": 0.7124999761581421,
998
+ "rewards/generated": -1.015930414199829,
999
+ "rewards/margins": 1.0248924493789673,
1000
+ "rewards/real": 0.008962005376815796,
1001
+ "step": 630
1002
+ },
1003
+ {
1004
+ "epoch": 0.41,
1005
+ "learning_rate": 3.282361308677098e-07,
1006
+ "logits/generated": -2.8567841053009033,
1007
+ "logits/real": -2.9329147338867188,
1008
+ "logps/generated": -131.82077026367188,
1009
+ "logps/real": -135.8273162841797,
1010
+ "loss": 0.5926,
1011
+ "rewards/accuracies": 0.737500011920929,
1012
+ "rewards/generated": -1.1058717966079712,
1013
+ "rewards/margins": 0.9077954292297363,
1014
+ "rewards/real": -0.1980762630701065,
1015
+ "step": 640
1016
+ },
1017
+ {
1018
+ "epoch": 0.42,
1019
+ "learning_rate": 3.2467994310099573e-07,
1020
+ "logits/generated": -2.872140407562256,
1021
+ "logits/real": -2.9000673294067383,
1022
+ "logps/generated": -135.03431701660156,
1023
+ "logps/real": -147.93064880371094,
1024
+ "loss": 0.6806,
1025
+ "rewards/accuracies": 0.675000011920929,
1026
+ "rewards/generated": -1.2050108909606934,
1027
+ "rewards/margins": 0.7183829545974731,
1028
+ "rewards/real": -0.4866279065608978,
1029
+ "step": 650
1030
+ },
1031
+ {
1032
+ "epoch": 0.42,
1033
+ "learning_rate": 3.211237553342817e-07,
1034
+ "logits/generated": -2.859281063079834,
1035
+ "logits/real": -2.9440739154815674,
1036
+ "logps/generated": -125.93595123291016,
1037
+ "logps/real": -129.65621948242188,
1038
+ "loss": 0.6927,
1039
+ "rewards/accuracies": 0.6000000238418579,
1040
+ "rewards/generated": -0.940774142742157,
1041
+ "rewards/margins": 0.5372705459594727,
1042
+ "rewards/real": -0.4035035967826843,
1043
+ "step": 660
1044
+ },
1045
+ {
1046
+ "epoch": 0.43,
1047
+ "learning_rate": 3.175675675675675e-07,
1048
+ "logits/generated": -2.888960123062134,
1049
+ "logits/real": -2.9022905826568604,
1050
+ "logps/generated": -134.37814331054688,
1051
+ "logps/real": -136.43983459472656,
1052
+ "loss": 0.5954,
1053
+ "rewards/accuracies": 0.699999988079071,
1054
+ "rewards/generated": -1.0395607948303223,
1055
+ "rewards/margins": 0.8729231953620911,
1056
+ "rewards/real": -0.1666376292705536,
1057
+ "step": 670
1058
+ },
1059
+ {
1060
+ "epoch": 0.44,
1061
+ "learning_rate": 3.1401137980085347e-07,
1062
+ "logits/generated": -2.8475449085235596,
1063
+ "logits/real": -2.931452512741089,
1064
+ "logps/generated": -123.19482421875,
1065
+ "logps/real": -129.654052734375,
1066
+ "loss": 0.6247,
1067
+ "rewards/accuracies": 0.7250000238418579,
1068
+ "rewards/generated": -0.7638888955116272,
1069
+ "rewards/margins": 0.6824823021888733,
1070
+ "rewards/real": -0.08140657842159271,
1071
+ "step": 680
1072
+ },
1073
+ {
1074
+ "epoch": 0.44,
1075
+ "learning_rate": 3.104551920341394e-07,
1076
+ "logits/generated": -2.7857539653778076,
1077
+ "logits/real": -2.9635262489318848,
1078
+ "logps/generated": -121.25040435791016,
1079
+ "logps/real": -137.65020751953125,
1080
+ "loss": 0.7093,
1081
+ "rewards/accuracies": 0.699999988079071,
1082
+ "rewards/generated": -0.8186511993408203,
1083
+ "rewards/margins": 0.8126083612442017,
1084
+ "rewards/real": -0.006042912602424622,
1085
+ "step": 690
1086
+ },
1087
+ {
1088
+ "epoch": 0.45,
1089
+ "learning_rate": 3.068990042674253e-07,
1090
+ "logits/generated": -2.8002536296844482,
1091
+ "logits/real": -2.9356870651245117,
1092
+ "logps/generated": -126.85771179199219,
1093
+ "logps/real": -136.75582885742188,
1094
+ "loss": 0.5948,
1095
+ "rewards/accuracies": 0.699999988079071,
1096
+ "rewards/generated": -1.1403062343597412,
1097
+ "rewards/margins": 0.7472094893455505,
1098
+ "rewards/real": -0.3930967450141907,
1099
+ "step": 700
1100
+ },
1101
+ {
1102
+ "epoch": 0.45,
1103
+ "eval_logits/generated": -2.840470314025879,
1104
+ "eval_logits/real": -2.9281880855560303,
1105
+ "eval_logps/generated": -127.03143310546875,
1106
+ "eval_logps/real": -138.53179931640625,
1107
+ "eval_loss": 0.6026215553283691,
1108
+ "eval_rewards/accuracies": 0.6815286874771118,
1109
+ "eval_rewards/generated": -1.0789220333099365,
1110
+ "eval_rewards/margins": 0.6839848756790161,
1111
+ "eval_rewards/real": -0.3949371576309204,
1112
+ "eval_runtime": 310.5622,
1113
+ "eval_samples_per_second": 16.1,
1114
+ "eval_steps_per_second": 0.506,
1115
+ "step": 700
1116
+ },
1117
+ {
1118
+ "epoch": 0.45,
1119
+ "learning_rate": 3.033428165007112e-07,
1120
+ "logits/generated": -2.837271213531494,
1121
+ "logits/real": -2.9325520992279053,
1122
+ "logps/generated": -140.0005645751953,
1123
+ "logps/real": -148.47731018066406,
1124
+ "loss": 0.6166,
1125
+ "rewards/accuracies": 0.6499999761581421,
1126
+ "rewards/generated": -1.002680778503418,
1127
+ "rewards/margins": 0.6050243377685547,
1128
+ "rewards/real": -0.39765650033950806,
1129
+ "step": 710
1130
+ },
1131
+ {
1132
+ "epoch": 0.46,
1133
+ "learning_rate": 2.9978662873399715e-07,
1134
+ "logits/generated": -2.873455047607422,
1135
+ "logits/real": -2.873136520385742,
1136
+ "logps/generated": -129.134521484375,
1137
+ "logps/real": -130.46888732910156,
1138
+ "loss": 0.6923,
1139
+ "rewards/accuracies": 0.75,
1140
+ "rewards/generated": -1.0006587505340576,
1141
+ "rewards/margins": 0.7794184684753418,
1142
+ "rewards/real": -0.22124037146568298,
1143
+ "step": 720
1144
+ },
1145
+ {
1146
+ "epoch": 0.47,
1147
+ "learning_rate": 2.9623044096728305e-07,
1148
+ "logits/generated": -2.8776352405548096,
1149
+ "logits/real": -2.9416308403015137,
1150
+ "logps/generated": -126.6672592163086,
1151
+ "logps/real": -134.09780883789062,
1152
+ "loss": 0.6886,
1153
+ "rewards/accuracies": 0.625,
1154
+ "rewards/generated": -0.7552564740180969,
1155
+ "rewards/margins": 0.2777866721153259,
1156
+ "rewards/real": -0.47746968269348145,
1157
+ "step": 730
1158
+ },
1159
+ {
1160
+ "epoch": 0.47,
1161
+ "learning_rate": 2.92674253200569e-07,
1162
+ "logits/generated": -2.9088470935821533,
1163
+ "logits/real": -2.9304256439208984,
1164
+ "logps/generated": -137.3657989501953,
1165
+ "logps/real": -139.28189086914062,
1166
+ "loss": 0.5841,
1167
+ "rewards/accuracies": 0.7124999761581421,
1168
+ "rewards/generated": -1.2612388134002686,
1169
+ "rewards/margins": 1.034172773361206,
1170
+ "rewards/real": -0.22706612944602966,
1171
+ "step": 740
1172
+ },
1173
+ {
1174
+ "epoch": 0.48,
1175
+ "learning_rate": 2.8911806543385494e-07,
1176
+ "logits/generated": -2.801848888397217,
1177
+ "logits/real": -2.9571499824523926,
1178
+ "logps/generated": -125.8072509765625,
1179
+ "logps/real": -146.98782348632812,
1180
+ "loss": 0.6015,
1181
+ "rewards/accuracies": 0.699999988079071,
1182
+ "rewards/generated": -1.6273508071899414,
1183
+ "rewards/margins": 0.8402755856513977,
1184
+ "rewards/real": -0.7870752811431885,
1185
+ "step": 750
1186
+ },
1187
+ {
1188
+ "epoch": 0.49,
1189
+ "learning_rate": 2.855618776671408e-07,
1190
+ "logits/generated": -2.848889112472534,
1191
+ "logits/real": -2.877046585083008,
1192
+ "logps/generated": -124.48414611816406,
1193
+ "logps/real": -129.13226318359375,
1194
+ "loss": 0.6204,
1195
+ "rewards/accuracies": 0.675000011920929,
1196
+ "rewards/generated": -1.2502113580703735,
1197
+ "rewards/margins": 0.6051310896873474,
1198
+ "rewards/real": -0.6450802087783813,
1199
+ "step": 760
1200
+ },
1201
+ {
1202
+ "epoch": 0.49,
1203
+ "learning_rate": 2.8200568990042673e-07,
1204
+ "logits/generated": -2.8570446968078613,
1205
+ "logits/real": -2.9029502868652344,
1206
+ "logps/generated": -133.1268768310547,
1207
+ "logps/real": -136.430419921875,
1208
+ "loss": 0.6282,
1209
+ "rewards/accuracies": 0.7250000238418579,
1210
+ "rewards/generated": -1.4829145669937134,
1211
+ "rewards/margins": 0.9649866223335266,
1212
+ "rewards/real": -0.5179279446601868,
1213
+ "step": 770
1214
+ },
1215
+ {
1216
+ "epoch": 0.5,
1217
+ "learning_rate": 2.784495021337127e-07,
1218
+ "logits/generated": -2.8677666187286377,
1219
+ "logits/real": -2.9021925926208496,
1220
+ "logps/generated": -146.73191833496094,
1221
+ "logps/real": -141.13995361328125,
1222
+ "loss": 0.6747,
1223
+ "rewards/accuracies": 0.6499999761581421,
1224
+ "rewards/generated": -2.041520595550537,
1225
+ "rewards/margins": 1.0659831762313843,
1226
+ "rewards/real": -0.9755374789237976,
1227
+ "step": 780
1228
+ },
1229
+ {
1230
+ "epoch": 0.51,
1231
+ "learning_rate": 2.7489331436699857e-07,
1232
+ "logits/generated": -2.824852228164673,
1233
+ "logits/real": -2.926391124725342,
1234
+ "logps/generated": -147.2328643798828,
1235
+ "logps/real": -149.10507202148438,
1236
+ "loss": 0.7098,
1237
+ "rewards/accuracies": 0.612500011920929,
1238
+ "rewards/generated": -1.700987458229065,
1239
+ "rewards/margins": 0.7294310331344604,
1240
+ "rewards/real": -0.9715563654899597,
1241
+ "step": 790
1242
+ },
1243
+ {
1244
+ "epoch": 0.51,
1245
+ "learning_rate": 2.7133712660028446e-07,
1246
+ "logits/generated": -2.7972347736358643,
1247
+ "logits/real": -2.9038093090057373,
1248
+ "logps/generated": -125.4245834350586,
1249
+ "logps/real": -133.38829040527344,
1250
+ "loss": 0.6723,
1251
+ "rewards/accuracies": 0.6625000238418579,
1252
+ "rewards/generated": -1.891131043434143,
1253
+ "rewards/margins": 0.7512563467025757,
1254
+ "rewards/real": -1.1398746967315674,
1255
+ "step": 800
1256
+ },
1257
+ {
1258
+ "epoch": 0.51,
1259
+ "eval_logits/generated": -2.8397910594940186,
1260
+ "eval_logits/real": -2.9189207553863525,
1261
+ "eval_logps/generated": -133.5920867919922,
1262
+ "eval_logps/real": -144.62881469726562,
1263
+ "eval_loss": 0.6016955971717834,
1264
+ "eval_rewards/accuracies": 0.6791401505470276,
1265
+ "eval_rewards/generated": -1.7349849939346313,
1266
+ "eval_rewards/margins": 0.7303467988967896,
1267
+ "eval_rewards/real": -1.0046383142471313,
1268
+ "eval_runtime": 309.8404,
1269
+ "eval_samples_per_second": 16.137,
1270
+ "eval_steps_per_second": 0.507,
1271
+ "step": 800
1272
+ },
1273
+ {
1274
+ "epoch": 0.52,
1275
+ "learning_rate": 2.677809388335704e-07,
1276
+ "logits/generated": -2.8365445137023926,
1277
+ "logits/real": -2.9331562519073486,
1278
+ "logps/generated": -140.5518035888672,
1279
+ "logps/real": -158.63702392578125,
1280
+ "loss": 0.6647,
1281
+ "rewards/accuracies": 0.6000000238418579,
1282
+ "rewards/generated": -1.3855249881744385,
1283
+ "rewards/margins": 0.2608424127101898,
1284
+ "rewards/real": -1.1246826648712158,
1285
+ "step": 810
1286
+ },
1287
+ {
1288
+ "epoch": 0.52,
1289
+ "learning_rate": 2.642247510668563e-07,
1290
+ "logits/generated": -2.8873796463012695,
1291
+ "logits/real": -2.878711223602295,
1292
+ "logps/generated": -145.9031982421875,
1293
+ "logps/real": -143.15829467773438,
1294
+ "loss": 0.6455,
1295
+ "rewards/accuracies": 0.7250000238418579,
1296
+ "rewards/generated": -2.0597965717315674,
1297
+ "rewards/margins": 1.2405303716659546,
1298
+ "rewards/real": -0.8192662000656128,
1299
+ "step": 820
1300
+ },
1301
+ {
1302
+ "epoch": 0.53,
1303
+ "learning_rate": 2.6066856330014225e-07,
1304
+ "logits/generated": -2.8116676807403564,
1305
+ "logits/real": -2.9269957542419434,
1306
+ "logps/generated": -147.27291870117188,
1307
+ "logps/real": -154.99942016601562,
1308
+ "loss": 0.5998,
1309
+ "rewards/accuracies": 0.7875000238418579,
1310
+ "rewards/generated": -1.8391478061676025,
1311
+ "rewards/margins": 1.1881417036056519,
1312
+ "rewards/real": -0.6510059237480164,
1313
+ "step": 830
1314
+ },
1315
+ {
1316
+ "epoch": 0.54,
1317
+ "learning_rate": 2.5711237553342815e-07,
1318
+ "logits/generated": -2.8869619369506836,
1319
+ "logits/real": -2.904590129852295,
1320
+ "logps/generated": -148.45867919921875,
1321
+ "logps/real": -142.796142578125,
1322
+ "loss": 0.721,
1323
+ "rewards/accuracies": 0.625,
1324
+ "rewards/generated": -0.9768039584159851,
1325
+ "rewards/margins": 0.4294663071632385,
1326
+ "rewards/real": -0.5473376512527466,
1327
+ "step": 840
1328
+ },
1329
+ {
1330
+ "epoch": 0.54,
1331
+ "learning_rate": 2.5355618776671404e-07,
1332
+ "logits/generated": -2.839021682739258,
1333
+ "logits/real": -2.905735492706299,
1334
+ "logps/generated": -130.4958953857422,
1335
+ "logps/real": -147.63864135742188,
1336
+ "loss": 0.7021,
1337
+ "rewards/accuracies": 0.625,
1338
+ "rewards/generated": -1.1018455028533936,
1339
+ "rewards/margins": 0.7128327488899231,
1340
+ "rewards/real": -0.3890126347541809,
1341
+ "step": 850
1342
+ },
1343
+ {
1344
+ "epoch": 0.55,
1345
+ "learning_rate": 2.5e-07,
1346
+ "logits/generated": -2.824007034301758,
1347
+ "logits/real": -2.857182741165161,
1348
+ "logps/generated": -146.1483154296875,
1349
+ "logps/real": -139.19387817382812,
1350
+ "loss": 0.5886,
1351
+ "rewards/accuracies": 0.7124999761581421,
1352
+ "rewards/generated": -1.458707571029663,
1353
+ "rewards/margins": 1.0141663551330566,
1354
+ "rewards/real": -0.44454121589660645,
1355
+ "step": 860
1356
+ },
1357
+ {
1358
+ "epoch": 0.56,
1359
+ "learning_rate": 2.4644381223328594e-07,
1360
+ "logits/generated": -2.7840158939361572,
1361
+ "logits/real": -2.9017128944396973,
1362
+ "logps/generated": -137.39535522460938,
1363
+ "logps/real": -148.0748291015625,
1364
+ "loss": 0.6859,
1365
+ "rewards/accuracies": 0.6499999761581421,
1366
+ "rewards/generated": -1.5387979745864868,
1367
+ "rewards/margins": 0.8355327844619751,
1368
+ "rewards/real": -0.7032652497291565,
1369
+ "step": 870
1370
+ },
1371
+ {
1372
+ "epoch": 0.56,
1373
+ "learning_rate": 2.4288762446657183e-07,
1374
+ "logits/generated": -2.7799668312072754,
1375
+ "logits/real": -2.915595531463623,
1376
+ "logps/generated": -130.84051513671875,
1377
+ "logps/real": -133.69252014160156,
1378
+ "loss": 0.6446,
1379
+ "rewards/accuracies": 0.699999988079071,
1380
+ "rewards/generated": -1.3767451047897339,
1381
+ "rewards/margins": 0.6831783652305603,
1382
+ "rewards/real": -0.6935667395591736,
1383
+ "step": 880
1384
+ },
1385
+ {
1386
+ "epoch": 0.57,
1387
+ "learning_rate": 2.393314366998578e-07,
1388
+ "logits/generated": -2.716787576675415,
1389
+ "logits/real": -2.8902299404144287,
1390
+ "logps/generated": -122.82936096191406,
1391
+ "logps/real": -143.2957000732422,
1392
+ "loss": 0.5669,
1393
+ "rewards/accuracies": 0.737500011920929,
1394
+ "rewards/generated": -1.140442132949829,
1395
+ "rewards/margins": 1.021167516708374,
1396
+ "rewards/real": -0.1192745715379715,
1397
+ "step": 890
1398
+ },
1399
+ {
1400
+ "epoch": 0.58,
1401
+ "learning_rate": 2.3577524893314365e-07,
1402
+ "logits/generated": -2.8401942253112793,
1403
+ "logits/real": -2.8803598880767822,
1404
+ "logps/generated": -135.40391540527344,
1405
+ "logps/real": -136.9019012451172,
1406
+ "loss": 0.6436,
1407
+ "rewards/accuracies": 0.6875,
1408
+ "rewards/generated": -1.2338757514953613,
1409
+ "rewards/margins": 0.8897522687911987,
1410
+ "rewards/real": -0.3441234230995178,
1411
+ "step": 900
1412
+ },
1413
+ {
1414
+ "epoch": 0.58,
1415
+ "eval_logits/generated": -2.806016445159912,
1416
+ "eval_logits/real": -2.88619327545166,
1417
+ "eval_logps/generated": -132.06158447265625,
1418
+ "eval_logps/real": -143.32131958007812,
1419
+ "eval_loss": 0.6029496192932129,
1420
+ "eval_rewards/accuracies": 0.668789803981781,
1421
+ "eval_rewards/generated": -1.5819348096847534,
1422
+ "eval_rewards/margins": 0.7080464959144592,
1423
+ "eval_rewards/real": -0.873888373374939,
1424
+ "eval_runtime": 310.4392,
1425
+ "eval_samples_per_second": 16.106,
1426
+ "eval_steps_per_second": 0.506,
1427
+ "step": 900
1428
+ },
1429
+ {
1430
+ "epoch": 0.58,
1431
+ "learning_rate": 2.322190611664296e-07,
1432
+ "logits/generated": -2.836130142211914,
1433
+ "logits/real": -2.796046733856201,
1434
+ "logps/generated": -154.68153381347656,
1435
+ "logps/real": -142.09814453125,
1436
+ "loss": 0.6133,
1437
+ "rewards/accuracies": 0.737500011920929,
1438
+ "rewards/generated": -1.767498254776001,
1439
+ "rewards/margins": 1.2376995086669922,
1440
+ "rewards/real": -0.5297988653182983,
1441
+ "step": 910
1442
+ },
1443
+ {
1444
+ "epoch": 0.59,
1445
+ "learning_rate": 2.2866287339971549e-07,
1446
+ "logits/generated": -2.8319737911224365,
1447
+ "logits/real": -2.9071972370147705,
1448
+ "logps/generated": -141.31478881835938,
1449
+ "logps/real": -146.1092987060547,
1450
+ "loss": 0.6595,
1451
+ "rewards/accuracies": 0.7250000238418579,
1452
+ "rewards/generated": -1.810842514038086,
1453
+ "rewards/margins": 1.001710057258606,
1454
+ "rewards/real": -0.80913245677948,
1455
+ "step": 920
1456
+ },
1457
+ {
1458
+ "epoch": 0.6,
1459
+ "learning_rate": 2.251066856330014e-07,
1460
+ "logits/generated": -2.82523775100708,
1461
+ "logits/real": -2.8914453983306885,
1462
+ "logps/generated": -147.71463012695312,
1463
+ "logps/real": -142.40274047851562,
1464
+ "loss": 0.6592,
1465
+ "rewards/accuracies": 0.625,
1466
+ "rewards/generated": -1.7439014911651611,
1467
+ "rewards/margins": 0.4922804832458496,
1468
+ "rewards/real": -1.2516210079193115,
1469
+ "step": 930
1470
+ },
1471
+ {
1472
+ "epoch": 0.6,
1473
+ "learning_rate": 2.2155049786628733e-07,
1474
+ "logits/generated": -2.7898082733154297,
1475
+ "logits/real": -2.882514476776123,
1476
+ "logps/generated": -129.53775024414062,
1477
+ "logps/real": -147.6808624267578,
1478
+ "loss": 0.6296,
1479
+ "rewards/accuracies": 0.675000011920929,
1480
+ "rewards/generated": -1.6545770168304443,
1481
+ "rewards/margins": 1.0049636363983154,
1482
+ "rewards/real": -0.6496134996414185,
1483
+ "step": 940
1484
+ },
1485
+ {
1486
+ "epoch": 0.61,
1487
+ "learning_rate": 2.1799431009957325e-07,
1488
+ "logits/generated": -2.7571780681610107,
1489
+ "logits/real": -2.923750877380371,
1490
+ "logps/generated": -140.4619598388672,
1491
+ "logps/real": -149.5252227783203,
1492
+ "loss": 0.5661,
1493
+ "rewards/accuracies": 0.800000011920929,
1494
+ "rewards/generated": -1.4804662466049194,
1495
+ "rewards/margins": 1.0741474628448486,
1496
+ "rewards/real": -0.40631866455078125,
1497
+ "step": 950
1498
+ },
1499
+ {
1500
+ "epoch": 0.61,
1501
+ "learning_rate": 2.1443812233285914e-07,
1502
+ "logits/generated": -2.8211305141448975,
1503
+ "logits/real": -2.8674416542053223,
1504
+ "logps/generated": -131.8004608154297,
1505
+ "logps/real": -130.39474487304688,
1506
+ "loss": 0.6535,
1507
+ "rewards/accuracies": 0.6499999761581421,
1508
+ "rewards/generated": -1.2931689023971558,
1509
+ "rewards/margins": 0.6902718544006348,
1510
+ "rewards/real": -0.602897047996521,
1511
+ "step": 960
1512
+ },
1513
+ {
1514
+ "epoch": 0.62,
1515
+ "learning_rate": 2.108819345661451e-07,
1516
+ "logits/generated": -2.880394458770752,
1517
+ "logits/real": -2.881556272506714,
1518
+ "logps/generated": -138.2687225341797,
1519
+ "logps/real": -140.81362915039062,
1520
+ "loss": 0.7122,
1521
+ "rewards/accuracies": 0.675000011920929,
1522
+ "rewards/generated": -1.508469820022583,
1523
+ "rewards/margins": 0.4812171459197998,
1524
+ "rewards/real": -1.027252435684204,
1525
+ "step": 970
1526
+ },
1527
+ {
1528
+ "epoch": 0.63,
1529
+ "learning_rate": 2.0732574679943098e-07,
1530
+ "logits/generated": -2.8477933406829834,
1531
+ "logits/real": -2.845597267150879,
1532
+ "logps/generated": -132.1406707763672,
1533
+ "logps/real": -134.79180908203125,
1534
+ "loss": 0.6927,
1535
+ "rewards/accuracies": 0.6625000238418579,
1536
+ "rewards/generated": -1.4040391445159912,
1537
+ "rewards/margins": 0.5953569412231445,
1538
+ "rewards/real": -0.8086821436882019,
1539
+ "step": 980
1540
+ },
1541
+ {
1542
+ "epoch": 0.63,
1543
+ "learning_rate": 2.0376955903271693e-07,
1544
+ "logits/generated": -2.8082008361816406,
1545
+ "logits/real": -2.863212823867798,
1546
+ "logps/generated": -125.87931823730469,
1547
+ "logps/real": -136.62237548828125,
1548
+ "loss": 0.626,
1549
+ "rewards/accuracies": 0.7124999761581421,
1550
+ "rewards/generated": -1.4956855773925781,
1551
+ "rewards/margins": 0.9534099698066711,
1552
+ "rewards/real": -0.5422756671905518,
1553
+ "step": 990
1554
+ },
1555
+ {
1556
+ "epoch": 0.64,
1557
+ "learning_rate": 2.0021337126600283e-07,
1558
+ "logits/generated": -2.8578667640686035,
1559
+ "logits/real": -2.847013235092163,
1560
+ "logps/generated": -136.9371337890625,
1561
+ "logps/real": -140.67221069335938,
1562
+ "loss": 0.6163,
1563
+ "rewards/accuracies": 0.7250000238418579,
1564
+ "rewards/generated": -1.597415566444397,
1565
+ "rewards/margins": 1.0458736419677734,
1566
+ "rewards/real": -0.5515419244766235,
1567
+ "step": 1000
1568
+ },
1569
+ {
1570
+ "epoch": 0.64,
1571
+ "eval_logits/generated": -2.8002965450286865,
1572
+ "eval_logits/real": -2.877998113632202,
1573
+ "eval_logps/generated": -132.6573944091797,
1574
+ "eval_logps/real": -142.48568725585938,
1575
+ "eval_loss": 0.6010281443595886,
1576
+ "eval_rewards/accuracies": 0.6783439517021179,
1577
+ "eval_rewards/generated": -1.6415162086486816,
1578
+ "eval_rewards/margins": 0.8511907458305359,
1579
+ "eval_rewards/real": -0.7903255820274353,
1580
+ "eval_runtime": 309.9825,
1581
+ "eval_samples_per_second": 16.13,
1582
+ "eval_steps_per_second": 0.506,
1583
+ "step": 1000
1584
+ },
1585
+ {
1586
+ "epoch": 0.65,
1587
+ "learning_rate": 1.9665718349928875e-07,
1588
+ "logits/generated": -2.791100025177002,
1589
+ "logits/real": -2.860755205154419,
1590
+ "logps/generated": -132.28335571289062,
1591
+ "logps/real": -139.66653442382812,
1592
+ "loss": 0.6156,
1593
+ "rewards/accuracies": 0.612500011920929,
1594
+ "rewards/generated": -1.8716294765472412,
1595
+ "rewards/margins": 0.7458978891372681,
1596
+ "rewards/real": -1.1257317066192627,
1597
+ "step": 1010
1598
+ },
1599
+ {
1600
+ "epoch": 0.65,
1601
+ "learning_rate": 1.931009957325747e-07,
1602
+ "logits/generated": -2.827510356903076,
1603
+ "logits/real": -2.8029284477233887,
1604
+ "logps/generated": -136.11270141601562,
1605
+ "logps/real": -141.502685546875,
1606
+ "loss": 0.6067,
1607
+ "rewards/accuracies": 0.699999988079071,
1608
+ "rewards/generated": -1.962308645248413,
1609
+ "rewards/margins": 0.9203013181686401,
1610
+ "rewards/real": -1.0420072078704834,
1611
+ "step": 1020
1612
+ },
1613
+ {
1614
+ "epoch": 0.66,
1615
+ "learning_rate": 1.895448079658606e-07,
1616
+ "logits/generated": -2.835878849029541,
1617
+ "logits/real": -2.8575656414031982,
1618
+ "logps/generated": -140.47169494628906,
1619
+ "logps/real": -139.37342834472656,
1620
+ "loss": 0.6224,
1621
+ "rewards/accuracies": 0.6499999761581421,
1622
+ "rewards/generated": -1.8097025156021118,
1623
+ "rewards/margins": 0.8532291650772095,
1624
+ "rewards/real": -0.9564734697341919,
1625
+ "step": 1030
1626
+ },
1627
+ {
1628
+ "epoch": 0.67,
1629
+ "learning_rate": 1.859886201991465e-07,
1630
+ "logits/generated": -2.856842279434204,
1631
+ "logits/real": -2.8842849731445312,
1632
+ "logps/generated": -143.2516326904297,
1633
+ "logps/real": -137.08316040039062,
1634
+ "loss": 0.6052,
1635
+ "rewards/accuracies": 0.6000000238418579,
1636
+ "rewards/generated": -1.759925127029419,
1637
+ "rewards/margins": 0.6329267621040344,
1638
+ "rewards/real": -1.1269984245300293,
1639
+ "step": 1040
1640
+ },
1641
+ {
1642
+ "epoch": 0.67,
1643
+ "learning_rate": 1.8243243243243243e-07,
1644
+ "logits/generated": -2.7838127613067627,
1645
+ "logits/real": -2.9055399894714355,
1646
+ "logps/generated": -135.84683227539062,
1647
+ "logps/real": -142.11846923828125,
1648
+ "loss": 0.5939,
1649
+ "rewards/accuracies": 0.699999988079071,
1650
+ "rewards/generated": -1.581358551979065,
1651
+ "rewards/margins": 0.7179355621337891,
1652
+ "rewards/real": -0.8634229898452759,
1653
+ "step": 1050
1654
+ },
1655
+ {
1656
+ "epoch": 0.68,
1657
+ "learning_rate": 1.7887624466571835e-07,
1658
+ "logits/generated": -2.8574728965759277,
1659
+ "logits/real": -2.812835931777954,
1660
+ "logps/generated": -152.22988891601562,
1661
+ "logps/real": -149.8922119140625,
1662
+ "loss": 0.7048,
1663
+ "rewards/accuracies": 0.625,
1664
+ "rewards/generated": -1.644396185874939,
1665
+ "rewards/margins": 0.46123242378234863,
1666
+ "rewards/real": -1.1831638813018799,
1667
+ "step": 1060
1668
+ },
1669
+ {
1670
+ "epoch": 0.68,
1671
+ "learning_rate": 1.7532005689900424e-07,
1672
+ "logits/generated": -2.7940242290496826,
1673
+ "logits/real": -2.878798484802246,
1674
+ "logps/generated": -133.0207977294922,
1675
+ "logps/real": -146.09625244140625,
1676
+ "loss": 0.566,
1677
+ "rewards/accuracies": 0.762499988079071,
1678
+ "rewards/generated": -1.9005569219589233,
1679
+ "rewards/margins": 0.8525867462158203,
1680
+ "rewards/real": -1.0479700565338135,
1681
+ "step": 1070
1682
+ },
1683
+ {
1684
+ "epoch": 0.69,
1685
+ "learning_rate": 1.717638691322902e-07,
1686
+ "logits/generated": -2.803427219390869,
1687
+ "logits/real": -2.829939603805542,
1688
+ "logps/generated": -129.09408569335938,
1689
+ "logps/real": -127.91636657714844,
1690
+ "loss": 0.6161,
1691
+ "rewards/accuracies": 0.637499988079071,
1692
+ "rewards/generated": -1.7060725688934326,
1693
+ "rewards/margins": 0.62469083070755,
1694
+ "rewards/real": -1.081381916999817,
1695
+ "step": 1080
1696
+ },
1697
+ {
1698
+ "epoch": 0.7,
1699
+ "learning_rate": 1.6820768136557609e-07,
1700
+ "logits/generated": -2.8071236610412598,
1701
+ "logits/real": -2.9175212383270264,
1702
+ "logps/generated": -146.45791625976562,
1703
+ "logps/real": -160.84805297851562,
1704
+ "loss": 0.6539,
1705
+ "rewards/accuracies": 0.6000000238418579,
1706
+ "rewards/generated": -1.475184679031372,
1707
+ "rewards/margins": 0.6628782153129578,
1708
+ "rewards/real": -0.8123064041137695,
1709
+ "step": 1090
1710
+ },
1711
+ {
1712
+ "epoch": 0.7,
1713
+ "learning_rate": 1.64651493598862e-07,
1714
+ "logits/generated": -2.7803986072540283,
1715
+ "logits/real": -2.913085460662842,
1716
+ "logps/generated": -143.08621215820312,
1717
+ "logps/real": -150.99246215820312,
1718
+ "loss": 0.6297,
1719
+ "rewards/accuracies": 0.7250000238418579,
1720
+ "rewards/generated": -1.4718377590179443,
1721
+ "rewards/margins": 0.9155041575431824,
1722
+ "rewards/real": -0.5563336610794067,
1723
+ "step": 1100
1724
+ },
1725
+ {
1726
+ "epoch": 0.7,
1727
+ "eval_logits/generated": -2.7847776412963867,
1728
+ "eval_logits/real": -2.8600666522979736,
1729
+ "eval_logps/generated": -132.0778045654297,
1730
+ "eval_logps/real": -143.10504150390625,
1731
+ "eval_loss": 0.602670431137085,
1732
+ "eval_rewards/accuracies": 0.668789803981781,
1733
+ "eval_rewards/generated": -1.5835580825805664,
1734
+ "eval_rewards/margins": 0.7312976717948914,
1735
+ "eval_rewards/real": -0.852260410785675,
1736
+ "eval_runtime": 309.4229,
1737
+ "eval_samples_per_second": 16.159,
1738
+ "eval_steps_per_second": 0.507,
1739
+ "step": 1100
1740
+ },
1741
+ {
1742
+ "epoch": 0.71,
1743
+ "learning_rate": 1.6109530583214793e-07,
1744
+ "logits/generated": -2.826133966445923,
1745
+ "logits/real": -2.843700885772705,
1746
+ "logps/generated": -140.56655883789062,
1747
+ "logps/real": -131.9547882080078,
1748
+ "loss": 0.6182,
1749
+ "rewards/accuracies": 0.6000000238418579,
1750
+ "rewards/generated": -1.5958125591278076,
1751
+ "rewards/margins": 0.5843857526779175,
1752
+ "rewards/real": -1.0114269256591797,
1753
+ "step": 1110
1754
+ },
1755
+ {
1756
+ "epoch": 0.72,
1757
+ "learning_rate": 1.5753911806543385e-07,
1758
+ "logits/generated": -2.782074213027954,
1759
+ "logits/real": -2.852107286453247,
1760
+ "logps/generated": -132.11264038085938,
1761
+ "logps/real": -148.32745361328125,
1762
+ "loss": 0.5487,
1763
+ "rewards/accuracies": 0.75,
1764
+ "rewards/generated": -1.654834508895874,
1765
+ "rewards/margins": 0.9943686723709106,
1766
+ "rewards/real": -0.6604658365249634,
1767
+ "step": 1120
1768
+ },
1769
+ {
1770
+ "epoch": 0.72,
1771
+ "learning_rate": 1.5398293029871974e-07,
1772
+ "logits/generated": -2.818897247314453,
1773
+ "logits/real": -2.832937717437744,
1774
+ "logps/generated": -136.17401123046875,
1775
+ "logps/real": -132.2439727783203,
1776
+ "loss": 0.6491,
1777
+ "rewards/accuracies": 0.675000011920929,
1778
+ "rewards/generated": -1.2890915870666504,
1779
+ "rewards/margins": 0.7559572458267212,
1780
+ "rewards/real": -0.5331342816352844,
1781
+ "step": 1130
1782
+ },
1783
+ {
1784
+ "epoch": 0.73,
1785
+ "learning_rate": 1.504267425320057e-07,
1786
+ "logits/generated": -2.793853521347046,
1787
+ "logits/real": -2.85860538482666,
1788
+ "logps/generated": -131.0358428955078,
1789
+ "logps/real": -138.73953247070312,
1790
+ "loss": 0.6312,
1791
+ "rewards/accuracies": 0.7124999761581421,
1792
+ "rewards/generated": -1.8077558279037476,
1793
+ "rewards/margins": 1.0804661512374878,
1794
+ "rewards/real": -0.727289617061615,
1795
+ "step": 1140
1796
+ },
1797
+ {
1798
+ "epoch": 0.74,
1799
+ "learning_rate": 1.4687055476529158e-07,
1800
+ "logits/generated": -2.846921682357788,
1801
+ "logits/real": -2.8571791648864746,
1802
+ "logps/generated": -133.85690307617188,
1803
+ "logps/real": -143.62088012695312,
1804
+ "loss": 0.6423,
1805
+ "rewards/accuracies": 0.6875,
1806
+ "rewards/generated": -1.475096344947815,
1807
+ "rewards/margins": 1.1357142925262451,
1808
+ "rewards/real": -0.33938202261924744,
1809
+ "step": 1150
1810
+ },
1811
+ {
1812
+ "epoch": 0.74,
1813
+ "learning_rate": 1.4331436699857753e-07,
1814
+ "logits/generated": -2.784996509552002,
1815
+ "logits/real": -2.9016330242156982,
1816
+ "logps/generated": -126.00093078613281,
1817
+ "logps/real": -136.3924102783203,
1818
+ "loss": 0.565,
1819
+ "rewards/accuracies": 0.762499988079071,
1820
+ "rewards/generated": -1.6021381616592407,
1821
+ "rewards/margins": 1.1204952001571655,
1822
+ "rewards/real": -0.48164302110671997,
1823
+ "step": 1160
1824
+ },
1825
+ {
1826
+ "epoch": 0.75,
1827
+ "learning_rate": 1.3975817923186345e-07,
1828
+ "logits/generated": -2.7846155166625977,
1829
+ "logits/real": -2.8495097160339355,
1830
+ "logps/generated": -133.8337860107422,
1831
+ "logps/real": -135.71499633789062,
1832
+ "loss": 0.6058,
1833
+ "rewards/accuracies": 0.762499988079071,
1834
+ "rewards/generated": -1.8828033208847046,
1835
+ "rewards/margins": 1.3056962490081787,
1836
+ "rewards/real": -0.577107310295105,
1837
+ "step": 1170
1838
+ },
1839
+ {
1840
+ "epoch": 0.75,
1841
+ "learning_rate": 1.3620199146514935e-07,
1842
+ "logits/generated": -2.807847499847412,
1843
+ "logits/real": -2.829408645629883,
1844
+ "logps/generated": -142.19052124023438,
1845
+ "logps/real": -143.4310302734375,
1846
+ "loss": 0.6029,
1847
+ "rewards/accuracies": 0.675000011920929,
1848
+ "rewards/generated": -1.7980120182037354,
1849
+ "rewards/margins": 0.9354388117790222,
1850
+ "rewards/real": -0.8625731468200684,
1851
+ "step": 1180
1852
+ },
1853
+ {
1854
+ "epoch": 0.76,
1855
+ "learning_rate": 1.326458036984353e-07,
1856
+ "logits/generated": -2.7362117767333984,
1857
+ "logits/real": -2.907681941986084,
1858
+ "logps/generated": -128.86277770996094,
1859
+ "logps/real": -142.07115173339844,
1860
+ "loss": 0.6165,
1861
+ "rewards/accuracies": 0.6499999761581421,
1862
+ "rewards/generated": -1.450605869293213,
1863
+ "rewards/margins": 0.6606342792510986,
1864
+ "rewards/real": -0.7899715304374695,
1865
+ "step": 1190
1866
+ },
1867
+ {
1868
+ "epoch": 0.77,
1869
+ "learning_rate": 1.290896159317212e-07,
1870
+ "logits/generated": -2.8074393272399902,
1871
+ "logits/real": -2.8899171352386475,
1872
+ "logps/generated": -135.86477661132812,
1873
+ "logps/real": -140.34536743164062,
1874
+ "loss": 0.6468,
1875
+ "rewards/accuracies": 0.7250000238418579,
1876
+ "rewards/generated": -1.600224256515503,
1877
+ "rewards/margins": 0.8596419095993042,
1878
+ "rewards/real": -0.7405821681022644,
1879
+ "step": 1200
1880
+ },
1881
+ {
1882
+ "epoch": 0.77,
1883
+ "eval_logits/generated": -2.786166191101074,
1884
+ "eval_logits/real": -2.860841989517212,
1885
+ "eval_logps/generated": -133.3330078125,
1886
+ "eval_logps/real": -143.56629943847656,
1887
+ "eval_loss": 0.5992889404296875,
1888
+ "eval_rewards/accuracies": 0.683917224407196,
1889
+ "eval_rewards/generated": -1.7090762853622437,
1890
+ "eval_rewards/margins": 0.8106896281242371,
1891
+ "eval_rewards/real": -0.8983866572380066,
1892
+ "eval_runtime": 310.5461,
1893
+ "eval_samples_per_second": 16.101,
1894
+ "eval_steps_per_second": 0.506,
1895
+ "step": 1200
1896
+ },
1897
+ {
1898
+ "epoch": 0.77,
1899
+ "learning_rate": 1.255334281650071e-07,
1900
+ "logits/generated": -2.8380236625671387,
1901
+ "logits/real": -2.8380062580108643,
1902
+ "logps/generated": -149.90982055664062,
1903
+ "logps/real": -147.6665802001953,
1904
+ "loss": 0.6125,
1905
+ "rewards/accuracies": 0.7250000238418579,
1906
+ "rewards/generated": -1.7763712406158447,
1907
+ "rewards/margins": 1.0066322088241577,
1908
+ "rewards/real": -0.769739031791687,
1909
+ "step": 1210
1910
+ },
1911
+ {
1912
+ "epoch": 0.78,
1913
+ "learning_rate": 1.2197724039829303e-07,
1914
+ "logits/generated": -2.7586867809295654,
1915
+ "logits/real": -2.841038703918457,
1916
+ "logps/generated": -122.13557434082031,
1917
+ "logps/real": -128.7981719970703,
1918
+ "loss": 0.6361,
1919
+ "rewards/accuracies": 0.737500011920929,
1920
+ "rewards/generated": -1.813408613204956,
1921
+ "rewards/margins": 0.9969779253005981,
1922
+ "rewards/real": -0.8164307475090027,
1923
+ "step": 1220
1924
+ },
1925
+ {
1926
+ "epoch": 0.79,
1927
+ "learning_rate": 1.1842105263157894e-07,
1928
+ "logits/generated": -2.7697105407714844,
1929
+ "logits/real": -2.8138997554779053,
1930
+ "logps/generated": -130.04222106933594,
1931
+ "logps/real": -121.92604064941406,
1932
+ "loss": 0.6316,
1933
+ "rewards/accuracies": 0.6499999761581421,
1934
+ "rewards/generated": -1.6964250802993774,
1935
+ "rewards/margins": 0.9563926458358765,
1936
+ "rewards/real": -0.740032434463501,
1937
+ "step": 1230
1938
+ },
1939
+ {
1940
+ "epoch": 0.79,
1941
+ "learning_rate": 1.1486486486486487e-07,
1942
+ "logits/generated": -2.753065586090088,
1943
+ "logits/real": -2.874058246612549,
1944
+ "logps/generated": -130.30264282226562,
1945
+ "logps/real": -153.7810821533203,
1946
+ "loss": 0.6369,
1947
+ "rewards/accuracies": 0.6875,
1948
+ "rewards/generated": -1.8373348712921143,
1949
+ "rewards/margins": 1.0876656770706177,
1950
+ "rewards/real": -0.7496690154075623,
1951
+ "step": 1240
1952
+ },
1953
+ {
1954
+ "epoch": 0.8,
1955
+ "learning_rate": 1.1130867709815078e-07,
1956
+ "logits/generated": -2.8708550930023193,
1957
+ "logits/real": -2.8094139099121094,
1958
+ "logps/generated": -136.15113830566406,
1959
+ "logps/real": -138.6972198486328,
1960
+ "loss": 0.6281,
1961
+ "rewards/accuracies": 0.7124999761581421,
1962
+ "rewards/generated": -1.595159888267517,
1963
+ "rewards/margins": 0.705752968788147,
1964
+ "rewards/real": -0.889406681060791,
1965
+ "step": 1250
1966
+ },
1967
+ {
1968
+ "epoch": 0.81,
1969
+ "learning_rate": 1.077524893314367e-07,
1970
+ "logits/generated": -2.817417860031128,
1971
+ "logits/real": -2.835923910140991,
1972
+ "logps/generated": -133.7835235595703,
1973
+ "logps/real": -143.9755859375,
1974
+ "loss": 0.6229,
1975
+ "rewards/accuracies": 0.637499988079071,
1976
+ "rewards/generated": -1.5798323154449463,
1977
+ "rewards/margins": 0.8425194025039673,
1978
+ "rewards/real": -0.7373130321502686,
1979
+ "step": 1260
1980
+ },
1981
+ {
1982
+ "epoch": 0.81,
1983
+ "learning_rate": 1.0419630156472262e-07,
1984
+ "logits/generated": -2.8372952938079834,
1985
+ "logits/real": -2.8386409282684326,
1986
+ "logps/generated": -135.59951782226562,
1987
+ "logps/real": -135.88104248046875,
1988
+ "loss": 0.5656,
1989
+ "rewards/accuracies": 0.699999988079071,
1990
+ "rewards/generated": -1.450683355331421,
1991
+ "rewards/margins": 1.1043708324432373,
1992
+ "rewards/real": -0.3463127017021179,
1993
+ "step": 1270
1994
+ },
1995
+ {
1996
+ "epoch": 0.82,
1997
+ "learning_rate": 1.0064011379800854e-07,
1998
+ "logits/generated": -2.791853904724121,
1999
+ "logits/real": -2.883375644683838,
2000
+ "logps/generated": -126.54823303222656,
2001
+ "logps/real": -142.61856079101562,
2002
+ "loss": 0.6473,
2003
+ "rewards/accuracies": 0.675000011920929,
2004
+ "rewards/generated": -1.1970711946487427,
2005
+ "rewards/margins": 0.7306603193283081,
2006
+ "rewards/real": -0.4664107859134674,
2007
+ "step": 1280
2008
+ },
2009
+ {
2010
+ "epoch": 0.83,
2011
+ "learning_rate": 9.708392603129445e-08,
2012
+ "logits/generated": -2.7650647163391113,
2013
+ "logits/real": -2.790853261947632,
2014
+ "logps/generated": -127.62080383300781,
2015
+ "logps/real": -134.742431640625,
2016
+ "loss": 0.6052,
2017
+ "rewards/accuracies": 0.625,
2018
+ "rewards/generated": -1.3538134098052979,
2019
+ "rewards/margins": 0.8441446423530579,
2020
+ "rewards/real": -0.5096686482429504,
2021
+ "step": 1290
2022
+ },
2023
+ {
2024
+ "epoch": 0.83,
2025
+ "learning_rate": 9.352773826458037e-08,
2026
+ "logits/generated": -2.792762279510498,
2027
+ "logits/real": -2.795624256134033,
2028
+ "logps/generated": -142.76382446289062,
2029
+ "logps/real": -141.875244140625,
2030
+ "loss": 0.5741,
2031
+ "rewards/accuracies": 0.6875,
2032
+ "rewards/generated": -1.515129804611206,
2033
+ "rewards/margins": 0.7379931211471558,
2034
+ "rewards/real": -0.7771366238594055,
2035
+ "step": 1300
2036
+ },
2037
+ {
2038
+ "epoch": 0.83,
2039
+ "eval_logits/generated": -2.774766445159912,
2040
+ "eval_logits/real": -2.8526883125305176,
2041
+ "eval_logps/generated": -132.890625,
2042
+ "eval_logps/real": -143.34512329101562,
2043
+ "eval_loss": 0.6018590927124023,
2044
+ "eval_rewards/accuracies": 0.6871019005775452,
2045
+ "eval_rewards/generated": -1.664839267730713,
2046
+ "eval_rewards/margins": 0.788568913936615,
2047
+ "eval_rewards/real": -0.8762705326080322,
2048
+ "eval_runtime": 309.8754,
2049
+ "eval_samples_per_second": 16.136,
2050
+ "eval_steps_per_second": 0.507,
2051
+ "step": 1300
2052
+ },
2053
+ {
2054
+ "epoch": 0.84,
2055
+ "learning_rate": 8.997155049786629e-08,
2056
+ "logits/generated": -2.7696619033813477,
2057
+ "logits/real": -2.8957486152648926,
2058
+ "logps/generated": -137.81674194335938,
2059
+ "logps/real": -151.4634552001953,
2060
+ "loss": 0.6453,
2061
+ "rewards/accuracies": 0.5874999761581421,
2062
+ "rewards/generated": -1.5495209693908691,
2063
+ "rewards/margins": 0.5234196782112122,
2064
+ "rewards/real": -1.0261012315750122,
2065
+ "step": 1310
2066
+ },
2067
+ {
2068
+ "epoch": 0.84,
2069
+ "learning_rate": 8.64153627311522e-08,
2070
+ "logits/generated": -2.7855117321014404,
2071
+ "logits/real": -2.881375551223755,
2072
+ "logps/generated": -146.25650024414062,
2073
+ "logps/real": -159.53533935546875,
2074
+ "loss": 0.5948,
2075
+ "rewards/accuracies": 0.7749999761581421,
2076
+ "rewards/generated": -1.6503632068634033,
2077
+ "rewards/margins": 0.9353766441345215,
2078
+ "rewards/real": -0.7149866819381714,
2079
+ "step": 1320
2080
+ },
2081
+ {
2082
+ "epoch": 0.85,
2083
+ "learning_rate": 8.285917496443812e-08,
2084
+ "logits/generated": -2.839664936065674,
2085
+ "logits/real": -2.8154075145721436,
2086
+ "logps/generated": -152.0926513671875,
2087
+ "logps/real": -141.4612579345703,
2088
+ "loss": 0.6361,
2089
+ "rewards/accuracies": 0.6875,
2090
+ "rewards/generated": -1.6590524911880493,
2091
+ "rewards/margins": 0.7780254483222961,
2092
+ "rewards/real": -0.881027102470398,
2093
+ "step": 1330
2094
+ },
2095
+ {
2096
+ "epoch": 0.86,
2097
+ "learning_rate": 7.930298719772404e-08,
2098
+ "logits/generated": -2.76212477684021,
2099
+ "logits/real": -2.8543272018432617,
2100
+ "logps/generated": -144.95997619628906,
2101
+ "logps/real": -153.9541778564453,
2102
+ "loss": 0.6119,
2103
+ "rewards/accuracies": 0.625,
2104
+ "rewards/generated": -1.4291819334030151,
2105
+ "rewards/margins": 0.6051322221755981,
2106
+ "rewards/real": -0.8240497708320618,
2107
+ "step": 1340
2108
+ },
2109
+ {
2110
+ "epoch": 0.86,
2111
+ "learning_rate": 7.574679943100994e-08,
2112
+ "logits/generated": -2.7643582820892334,
2113
+ "logits/real": -2.803393840789795,
2114
+ "logps/generated": -138.57437133789062,
2115
+ "logps/real": -143.98910522460938,
2116
+ "loss": 0.6042,
2117
+ "rewards/accuracies": 0.762499988079071,
2118
+ "rewards/generated": -1.851440191268921,
2119
+ "rewards/margins": 1.1676199436187744,
2120
+ "rewards/real": -0.6838203072547913,
2121
+ "step": 1350
2122
+ },
2123
+ {
2124
+ "epoch": 0.87,
2125
+ "learning_rate": 7.219061166429587e-08,
2126
+ "logits/generated": -2.842731475830078,
2127
+ "logits/real": -2.75618314743042,
2128
+ "logps/generated": -153.87928771972656,
2129
+ "logps/real": -137.30043029785156,
2130
+ "loss": 0.6227,
2131
+ "rewards/accuracies": 0.6499999761581421,
2132
+ "rewards/generated": -1.66205632686615,
2133
+ "rewards/margins": 0.847110390663147,
2134
+ "rewards/real": -0.8149459958076477,
2135
+ "step": 1360
2136
+ },
2137
+ {
2138
+ "epoch": 0.88,
2139
+ "learning_rate": 6.863442389758179e-08,
2140
+ "logits/generated": -2.720419406890869,
2141
+ "logits/real": -2.8356549739837646,
2142
+ "logps/generated": -132.40487670898438,
2143
+ "logps/real": -142.2407684326172,
2144
+ "loss": 0.6505,
2145
+ "rewards/accuracies": 0.7250000238418579,
2146
+ "rewards/generated": -1.8278366327285767,
2147
+ "rewards/margins": 1.0291211605072021,
2148
+ "rewards/real": -0.7987155914306641,
2149
+ "step": 1370
2150
+ },
2151
+ {
2152
+ "epoch": 0.88,
2153
+ "learning_rate": 6.507823613086771e-08,
2154
+ "logits/generated": -2.7388923168182373,
2155
+ "logits/real": -2.8658761978149414,
2156
+ "logps/generated": -129.93698120117188,
2157
+ "logps/real": -150.47926330566406,
2158
+ "loss": 0.6557,
2159
+ "rewards/accuracies": 0.625,
2160
+ "rewards/generated": -1.5377349853515625,
2161
+ "rewards/margins": 0.5789148807525635,
2162
+ "rewards/real": -0.9588201642036438,
2163
+ "step": 1380
2164
+ },
2165
+ {
2166
+ "epoch": 0.89,
2167
+ "learning_rate": 6.152204836415363e-08,
2168
+ "logits/generated": -2.7871286869049072,
2169
+ "logits/real": -2.8277242183685303,
2170
+ "logps/generated": -135.78118896484375,
2171
+ "logps/real": -132.1021270751953,
2172
+ "loss": 0.5725,
2173
+ "rewards/accuracies": 0.7749999761581421,
2174
+ "rewards/generated": -1.9688875675201416,
2175
+ "rewards/margins": 0.9650619626045227,
2176
+ "rewards/real": -1.0038254261016846,
2177
+ "step": 1390
2178
+ },
2179
+ {
2180
+ "epoch": 0.9,
2181
+ "learning_rate": 5.796586059743954e-08,
2182
+ "logits/generated": -2.7154223918914795,
2183
+ "logits/real": -2.880283832550049,
2184
+ "logps/generated": -124.3189926147461,
2185
+ "logps/real": -141.7947998046875,
2186
+ "loss": 0.5778,
2187
+ "rewards/accuracies": 0.75,
2188
+ "rewards/generated": -1.4083908796310425,
2189
+ "rewards/margins": 0.8421765565872192,
2190
+ "rewards/real": -0.5662142634391785,
2191
+ "step": 1400
2192
+ },
2193
+ {
2194
+ "epoch": 0.9,
2195
+ "eval_logits/generated": -2.7595629692077637,
2196
+ "eval_logits/real": -2.8409905433654785,
2197
+ "eval_logps/generated": -132.63201904296875,
2198
+ "eval_logps/real": -143.1669158935547,
2199
+ "eval_loss": 0.5983285307884216,
2200
+ "eval_rewards/accuracies": 0.683917224407196,
2201
+ "eval_rewards/generated": -1.638979196548462,
2202
+ "eval_rewards/margins": 0.7805317044258118,
2203
+ "eval_rewards/real": -0.858447253704071,
2204
+ "eval_runtime": 311.6921,
2205
+ "eval_samples_per_second": 16.041,
2206
+ "eval_steps_per_second": 0.504,
2207
+ "step": 1400
2208
+ },
2209
+ {
2210
+ "epoch": 0.9,
2211
+ "learning_rate": 5.4409672830725456e-08,
2212
+ "logits/generated": -2.8682186603546143,
2213
+ "logits/real": -2.770561695098877,
2214
+ "logps/generated": -145.3868408203125,
2215
+ "logps/real": -134.76119995117188,
2216
+ "loss": 0.5696,
2217
+ "rewards/accuracies": 0.7124999761581421,
2218
+ "rewards/generated": -1.4525306224822998,
2219
+ "rewards/margins": 0.9229253530502319,
2220
+ "rewards/real": -0.5296052694320679,
2221
+ "step": 1410
2222
+ },
2223
+ {
2224
+ "epoch": 0.91,
2225
+ "learning_rate": 5.0853485064011376e-08,
2226
+ "logits/generated": -2.7014617919921875,
2227
+ "logits/real": -2.881330966949463,
2228
+ "logps/generated": -130.04843139648438,
2229
+ "logps/real": -142.1650390625,
2230
+ "loss": 0.5766,
2231
+ "rewards/accuracies": 0.737500011920929,
2232
+ "rewards/generated": -1.7901127338409424,
2233
+ "rewards/margins": 1.182373285293579,
2234
+ "rewards/real": -0.6077393293380737,
2235
+ "step": 1420
2236
+ },
2237
+ {
2238
+ "epoch": 0.91,
2239
+ "learning_rate": 4.72972972972973e-08,
2240
+ "logits/generated": -2.776926040649414,
2241
+ "logits/real": -2.816567897796631,
2242
+ "logps/generated": -138.56385803222656,
2243
+ "logps/real": -138.20372009277344,
2244
+ "loss": 0.5432,
2245
+ "rewards/accuracies": 0.762499988079071,
2246
+ "rewards/generated": -1.6850738525390625,
2247
+ "rewards/margins": 1.1410996913909912,
2248
+ "rewards/real": -0.5439742803573608,
2249
+ "step": 1430
2250
+ },
2251
+ {
2252
+ "epoch": 0.92,
2253
+ "learning_rate": 4.374110953058322e-08,
2254
+ "logits/generated": -2.717988967895508,
2255
+ "logits/real": -2.7903523445129395,
2256
+ "logps/generated": -127.56498718261719,
2257
+ "logps/real": -131.7296600341797,
2258
+ "loss": 0.574,
2259
+ "rewards/accuracies": 0.762499988079071,
2260
+ "rewards/generated": -1.8308528661727905,
2261
+ "rewards/margins": 0.9762704968452454,
2262
+ "rewards/real": -0.8545824289321899,
2263
+ "step": 1440
2264
+ },
2265
+ {
2266
+ "epoch": 0.93,
2267
+ "learning_rate": 4.018492176386913e-08,
2268
+ "logits/generated": -2.794159412384033,
2269
+ "logits/real": -2.820596933364868,
2270
+ "logps/generated": -138.13177490234375,
2271
+ "logps/real": -137.43312072753906,
2272
+ "loss": 0.5975,
2273
+ "rewards/accuracies": 0.675000011920929,
2274
+ "rewards/generated": -2.0723748207092285,
2275
+ "rewards/margins": 1.080757737159729,
2276
+ "rewards/real": -0.9916172027587891,
2277
+ "step": 1450
2278
+ },
2279
+ {
2280
+ "epoch": 0.93,
2281
+ "learning_rate": 3.6628733997155046e-08,
2282
+ "logits/generated": -2.792384624481201,
2283
+ "logits/real": -2.7937417030334473,
2284
+ "logps/generated": -143.66940307617188,
2285
+ "logps/real": -130.21682739257812,
2286
+ "loss": 0.652,
2287
+ "rewards/accuracies": 0.7250000238418579,
2288
+ "rewards/generated": -1.7282785177230835,
2289
+ "rewards/margins": 1.0712766647338867,
2290
+ "rewards/real": -0.6570018529891968,
2291
+ "step": 1460
2292
+ },
2293
+ {
2294
+ "epoch": 0.94,
2295
+ "learning_rate": 3.3072546230440967e-08,
2296
+ "logits/generated": -2.8024961948394775,
2297
+ "logits/real": -2.8199470043182373,
2298
+ "logps/generated": -140.53408813476562,
2299
+ "logps/real": -150.7724151611328,
2300
+ "loss": 0.628,
2301
+ "rewards/accuracies": 0.6499999761581421,
2302
+ "rewards/generated": -1.6441261768341064,
2303
+ "rewards/margins": 0.8207837343215942,
2304
+ "rewards/real": -0.823342502117157,
2305
+ "step": 1470
2306
+ },
2307
+ {
2308
+ "epoch": 0.95,
2309
+ "learning_rate": 2.9516358463726884e-08,
2310
+ "logits/generated": -2.7492637634277344,
2311
+ "logits/real": -2.858729839324951,
2312
+ "logps/generated": -134.35336303710938,
2313
+ "logps/real": -142.91067504882812,
2314
+ "loss": 0.572,
2315
+ "rewards/accuracies": 0.7124999761581421,
2316
+ "rewards/generated": -1.3461004495620728,
2317
+ "rewards/margins": 0.9981536865234375,
2318
+ "rewards/real": -0.34794679284095764,
2319
+ "step": 1480
2320
+ },
2321
+ {
2322
+ "epoch": 0.95,
2323
+ "learning_rate": 2.59601706970128e-08,
2324
+ "logits/generated": -2.7729005813598633,
2325
+ "logits/real": -2.873631715774536,
2326
+ "logps/generated": -150.54849243164062,
2327
+ "logps/real": -151.95889282226562,
2328
+ "loss": 0.6035,
2329
+ "rewards/accuracies": 0.7250000238418579,
2330
+ "rewards/generated": -1.5365216732025146,
2331
+ "rewards/margins": 1.0391191244125366,
2332
+ "rewards/real": -0.4974023699760437,
2333
+ "step": 1490
2334
+ },
2335
+ {
2336
+ "epoch": 0.96,
2337
+ "learning_rate": 2.240398293029872e-08,
2338
+ "logits/generated": -2.760676622390747,
2339
+ "logits/real": -2.839698553085327,
2340
+ "logps/generated": -132.1126708984375,
2341
+ "logps/real": -144.00076293945312,
2342
+ "loss": 0.5929,
2343
+ "rewards/accuracies": 0.7250000238418579,
2344
+ "rewards/generated": -1.4845622777938843,
2345
+ "rewards/margins": 0.9012053608894348,
2346
+ "rewards/real": -0.5833569765090942,
2347
+ "step": 1500
2348
+ },
2349
+ {
2350
+ "epoch": 0.96,
2351
+ "eval_logits/generated": -2.753782272338867,
2352
+ "eval_logits/real": -2.8343567848205566,
2353
+ "eval_logps/generated": -132.1463165283203,
2354
+ "eval_logps/real": -142.78977966308594,
2355
+ "eval_loss": 0.5982768535614014,
2356
+ "eval_rewards/accuracies": 0.6831210255622864,
2357
+ "eval_rewards/generated": -1.5904085636138916,
2358
+ "eval_rewards/margins": 0.7696728706359863,
2359
+ "eval_rewards/real": -0.82073575258255,
2360
+ "eval_runtime": 310.8083,
2361
+ "eval_samples_per_second": 16.087,
2362
+ "eval_steps_per_second": 0.505,
2363
+ "step": 1500
2364
+ },
2365
+ {
2366
+ "epoch": 0.97,
2367
+ "learning_rate": 1.8847795163584636e-08,
2368
+ "logits/generated": -2.786104679107666,
2369
+ "logits/real": -2.843632698059082,
2370
+ "logps/generated": -135.99102783203125,
2371
+ "logps/real": -146.1920928955078,
2372
+ "loss": 0.5737,
2373
+ "rewards/accuracies": 0.699999988079071,
2374
+ "rewards/generated": -1.6939281225204468,
2375
+ "rewards/margins": 0.7886837124824524,
2376
+ "rewards/real": -0.9052446484565735,
2377
+ "step": 1510
2378
+ },
2379
+ {
2380
+ "epoch": 0.97,
2381
+ "learning_rate": 1.5291607396870554e-08,
2382
+ "logits/generated": -2.7616968154907227,
2383
+ "logits/real": -2.8508548736572266,
2384
+ "logps/generated": -134.79690551757812,
2385
+ "logps/real": -145.90550231933594,
2386
+ "loss": 0.646,
2387
+ "rewards/accuracies": 0.7250000238418579,
2388
+ "rewards/generated": -1.472129464149475,
2389
+ "rewards/margins": 0.7121609449386597,
2390
+ "rewards/real": -0.7599684000015259,
2391
+ "step": 1520
2392
+ },
2393
+ {
2394
+ "epoch": 0.98,
2395
+ "learning_rate": 1.1735419630156473e-08,
2396
+ "logits/generated": -2.7698681354522705,
2397
+ "logits/real": -2.822406768798828,
2398
+ "logps/generated": -137.62112426757812,
2399
+ "logps/real": -144.58047485351562,
2400
+ "loss": 0.6169,
2401
+ "rewards/accuracies": 0.699999988079071,
2402
+ "rewards/generated": -1.6243680715560913,
2403
+ "rewards/margins": 1.031085729598999,
2404
+ "rewards/real": -0.5932824611663818,
2405
+ "step": 1530
2406
+ },
2407
+ {
2408
+ "epoch": 0.99,
2409
+ "learning_rate": 8.179231863442388e-09,
2410
+ "logits/generated": -2.7279772758483887,
2411
+ "logits/real": -2.8418853282928467,
2412
+ "logps/generated": -128.5863800048828,
2413
+ "logps/real": -140.18991088867188,
2414
+ "loss": 0.7108,
2415
+ "rewards/accuracies": 0.675000011920929,
2416
+ "rewards/generated": -1.8496240377426147,
2417
+ "rewards/margins": 0.7590233683586121,
2418
+ "rewards/real": -1.090600848197937,
2419
+ "step": 1540
2420
+ },
2421
+ {
2422
+ "epoch": 0.99,
2423
+ "learning_rate": 4.623044096728307e-09,
2424
+ "logits/generated": -2.738799810409546,
2425
+ "logits/real": -2.8188023567199707,
2426
+ "logps/generated": -128.40736389160156,
2427
+ "logps/real": -141.7828826904297,
2428
+ "loss": 0.6033,
2429
+ "rewards/accuracies": 0.7124999761581421,
2430
+ "rewards/generated": -1.6743981838226318,
2431
+ "rewards/margins": 1.010298728942871,
2432
+ "rewards/real": -0.6640995740890503,
2433
+ "step": 1550
2434
+ },
2435
+ {
2436
+ "epoch": 1.0,
2437
+ "learning_rate": 1.0668563300142248e-09,
2438
+ "logits/generated": -2.787738084793091,
2439
+ "logits/real": -2.819310188293457,
2440
+ "logps/generated": -142.7244415283203,
2441
+ "logps/real": -137.14144897460938,
2442
+ "loss": 0.6264,
2443
+ "rewards/accuracies": 0.6875,
2444
+ "rewards/generated": -1.5642173290252686,
2445
+ "rewards/margins": 0.8839362859725952,
2446
+ "rewards/real": -0.6802809238433838,
2447
+ "step": 1560
2448
+ },
2449
+ {
2450
+ "epoch": 1.0,
2451
+ "step": 1563,
2452
+ "total_flos": 0.0,
2453
+ "train_loss": 0.6356648667378831,
2454
+ "train_runtime": 12633.5214,
2455
+ "train_samples_per_second": 3.958,
2456
+ "train_steps_per_second": 0.124
2457
+ }
2458
+ ],
2459
+ "logging_steps": 10,
2460
+ "max_steps": 1563,
2461
+ "num_input_tokens_seen": 0,
2462
+ "num_train_epochs": 1,
2463
+ "save_steps": 100,
2464
+ "total_flos": 0.0,
2465
+ "train_batch_size": 8,
2466
+ "trial_name": null,
2467
+ "trial_params": null
2468
+ }