bhuvanmdev commited on
Commit
f12474f
1 Parent(s): b4f847f

Upload folder using huggingface_hub

Browse files
run/checkpoint-1-epoch/README.md ADDED
@@ -0,0 +1,204 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ base_model: tiiuae/falcon-7b
4
+ ---
5
+
6
+ # Model Card for Model ID
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
9
+
10
+
11
+
12
+ ## Model Details
13
+
14
+ ### Model Description
15
+
16
+ <!-- Provide a longer summary of what this model is. -->
17
+
18
+
19
+
20
+ - **Developed by:** [More Information Needed]
21
+ - **Funded by [optional]:** [More Information Needed]
22
+ - **Shared by [optional]:** [More Information Needed]
23
+ - **Model type:** [More Information Needed]
24
+ - **Language(s) (NLP):** [More Information Needed]
25
+ - **License:** [More Information Needed]
26
+ - **Finetuned from model [optional]:** [More Information Needed]
27
+
28
+ ### Model Sources [optional]
29
+
30
+ <!-- Provide the basic links for the model. -->
31
+
32
+ - **Repository:** [More Information Needed]
33
+ - **Paper [optional]:** [More Information Needed]
34
+ - **Demo [optional]:** [More Information Needed]
35
+
36
+ ## Uses
37
+
38
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
+
40
+ ### Direct Use
41
+
42
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
+
44
+ [More Information Needed]
45
+
46
+ ### Downstream Use [optional]
47
+
48
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Out-of-Scope Use
53
+
54
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
+
56
+ [More Information Needed]
57
+
58
+ ## Bias, Risks, and Limitations
59
+
60
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ### Recommendations
65
+
66
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
+
68
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
+
70
+ ## How to Get Started with the Model
71
+
72
+ Use the code below to get started with the model.
73
+
74
+ [More Information Needed]
75
+
76
+ ## Training Details
77
+
78
+ ### Training Data
79
+
80
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
81
+
82
+ [More Information Needed]
83
+
84
+ ### Training Procedure
85
+
86
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
+
88
+ #### Preprocessing [optional]
89
+
90
+ [More Information Needed]
91
+
92
+
93
+ #### Training Hyperparameters
94
+
95
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
+
97
+ #### Speeds, Sizes, Times [optional]
98
+
99
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
+
101
+ [More Information Needed]
102
+
103
+ ## Evaluation
104
+
105
+ <!-- This section describes the evaluation protocols and provides the results. -->
106
+
107
+ ### Testing Data, Factors & Metrics
108
+
109
+ #### Testing Data
110
+
111
+ <!-- This should link to a Dataset Card if possible. -->
112
+
113
+ [More Information Needed]
114
+
115
+ #### Factors
116
+
117
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Metrics
122
+
123
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
+
125
+ [More Information Needed]
126
+
127
+ ### Results
128
+
129
+ [More Information Needed]
130
+
131
+ #### Summary
132
+
133
+
134
+
135
+ ## Model Examination [optional]
136
+
137
+ <!-- Relevant interpretability work for the model goes here -->
138
+
139
+ [More Information Needed]
140
+
141
+ ## Environmental Impact
142
+
143
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
+
145
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
146
+
147
+ - **Hardware Type:** [More Information Needed]
148
+ - **Hours used:** [More Information Needed]
149
+ - **Cloud Provider:** [More Information Needed]
150
+ - **Compute Region:** [More Information Needed]
151
+ - **Carbon Emitted:** [More Information Needed]
152
+
153
+ ## Technical Specifications [optional]
154
+
155
+ ### Model Architecture and Objective
156
+
157
+ [More Information Needed]
158
+
159
+ ### Compute Infrastructure
160
+
161
+ [More Information Needed]
162
+
163
+ #### Hardware
164
+
165
+ [More Information Needed]
166
+
167
+ #### Software
168
+
169
+ [More Information Needed]
170
+
171
+ ## Citation [optional]
172
+
173
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
+
175
+ **BibTeX:**
176
+
177
+ [More Information Needed]
178
+
179
+ **APA:**
180
+
181
+ [More Information Needed]
182
+
183
+ ## Glossary [optional]
184
+
185
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
+
187
+ [More Information Needed]
188
+
189
+ ## More Information [optional]
190
+
191
+ [More Information Needed]
192
+
193
+ ## Model Card Authors [optional]
194
+
195
+ [More Information Needed]
196
+
197
+ ## Model Card Contact
198
+
199
+ [More Information Needed]
200
+
201
+
202
+ ### Framework versions
203
+
204
+ - PEFT 0.8.2
run/checkpoint-1-epoch/adapter_config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "tiiuae/falcon-7b",
5
+ "bias": "none",
6
+ "fan_in_fan_out": false,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layers_pattern": null,
10
+ "layers_to_transform": null,
11
+ "loftq_config": {},
12
+ "lora_alpha": 32,
13
+ "lora_dropout": 0.05,
14
+ "megatron_config": null,
15
+ "megatron_core": "megatron.core",
16
+ "modules_to_save": null,
17
+ "peft_type": "LORA",
18
+ "r": 16,
19
+ "rank_pattern": {},
20
+ "revision": null,
21
+ "target_modules": [
22
+ "query_key_value"
23
+ ],
24
+ "task_type": "CAUSAL_LM",
25
+ "use_rslora": false
26
+ }
run/checkpoint-1-epoch/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2f77855d5e49679751c633856f2e66cf17fbc41a963438d498675af56b4f2648
3
+ size 18883912
run/checkpoint-1-epoch/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ad4b608e228a0aec0e15abde3fbd5ffe2064b4e757c659a5c2d2cee0a86b0654
3
+ size 37803066
run/checkpoint-1-epoch/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:50112a513b93d0fc4d5e5cfbee1846fe5d26d575aee4977bae123063d65a6249
3
+ size 14244
run/checkpoint-1-epoch/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fad1344d0d68cec31f4379da8eb730afca29401bda64dafa2bff69b67bba283b
3
+ size 1064
run/checkpoint-1-epoch/trainer_state.json ADDED
@@ -0,0 +1,951 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.0,
5
+ "eval_steps": 500,
6
+ "global_step": 155,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.01,
13
+ "learning_rate": 0.00019870967741935483,
14
+ "loss": 2.6923,
15
+ "step": 1
16
+ },
17
+ {
18
+ "epoch": 0.01,
19
+ "learning_rate": 0.00019741935483870969,
20
+ "loss": 2.474,
21
+ "step": 2
22
+ },
23
+ {
24
+ "epoch": 0.02,
25
+ "learning_rate": 0.0001961290322580645,
26
+ "loss": 2.4604,
27
+ "step": 3
28
+ },
29
+ {
30
+ "epoch": 0.03,
31
+ "learning_rate": 0.00019483870967741936,
32
+ "loss": 2.5712,
33
+ "step": 4
34
+ },
35
+ {
36
+ "epoch": 0.03,
37
+ "learning_rate": 0.00019354838709677422,
38
+ "loss": 2.722,
39
+ "step": 5
40
+ },
41
+ {
42
+ "epoch": 0.04,
43
+ "learning_rate": 0.00019225806451612904,
44
+ "loss": 3.5362,
45
+ "step": 6
46
+ },
47
+ {
48
+ "epoch": 0.05,
49
+ "learning_rate": 0.0001909677419354839,
50
+ "loss": 2.6359,
51
+ "step": 7
52
+ },
53
+ {
54
+ "epoch": 0.05,
55
+ "learning_rate": 0.00018967741935483872,
56
+ "loss": 3.0204,
57
+ "step": 8
58
+ },
59
+ {
60
+ "epoch": 0.06,
61
+ "learning_rate": 0.00018838709677419354,
62
+ "loss": 2.5709,
63
+ "step": 9
64
+ },
65
+ {
66
+ "epoch": 0.06,
67
+ "learning_rate": 0.0001870967741935484,
68
+ "loss": 2.7084,
69
+ "step": 10
70
+ },
71
+ {
72
+ "epoch": 0.07,
73
+ "learning_rate": 0.00018580645161290325,
74
+ "loss": 2.7173,
75
+ "step": 11
76
+ },
77
+ {
78
+ "epoch": 0.08,
79
+ "learning_rate": 0.00018451612903225807,
80
+ "loss": 2.8462,
81
+ "step": 12
82
+ },
83
+ {
84
+ "epoch": 0.08,
85
+ "learning_rate": 0.00018322580645161292,
86
+ "loss": 2.5665,
87
+ "step": 13
88
+ },
89
+ {
90
+ "epoch": 0.09,
91
+ "learning_rate": 0.00018193548387096775,
92
+ "loss": 2.8803,
93
+ "step": 14
94
+ },
95
+ {
96
+ "epoch": 0.1,
97
+ "learning_rate": 0.00018064516129032257,
98
+ "loss": 2.5982,
99
+ "step": 15
100
+ },
101
+ {
102
+ "epoch": 0.1,
103
+ "learning_rate": 0.00017935483870967742,
104
+ "loss": 2.8527,
105
+ "step": 16
106
+ },
107
+ {
108
+ "epoch": 0.11,
109
+ "learning_rate": 0.00017806451612903228,
110
+ "loss": 2.3655,
111
+ "step": 17
112
+ },
113
+ {
114
+ "epoch": 0.12,
115
+ "learning_rate": 0.0001767741935483871,
116
+ "loss": 2.3536,
117
+ "step": 18
118
+ },
119
+ {
120
+ "epoch": 0.12,
121
+ "learning_rate": 0.00017548387096774195,
122
+ "loss": 3.2141,
123
+ "step": 19
124
+ },
125
+ {
126
+ "epoch": 0.13,
127
+ "learning_rate": 0.00017419354838709678,
128
+ "loss": 2.8027,
129
+ "step": 20
130
+ },
131
+ {
132
+ "epoch": 0.14,
133
+ "learning_rate": 0.00017290322580645163,
134
+ "loss": 2.6194,
135
+ "step": 21
136
+ },
137
+ {
138
+ "epoch": 0.14,
139
+ "learning_rate": 0.00017161290322580645,
140
+ "loss": 2.9702,
141
+ "step": 22
142
+ },
143
+ {
144
+ "epoch": 0.15,
145
+ "learning_rate": 0.00017032258064516128,
146
+ "loss": 2.544,
147
+ "step": 23
148
+ },
149
+ {
150
+ "epoch": 0.15,
151
+ "learning_rate": 0.00016903225806451616,
152
+ "loss": 2.6569,
153
+ "step": 24
154
+ },
155
+ {
156
+ "epoch": 0.16,
157
+ "learning_rate": 0.00016774193548387098,
158
+ "loss": 3.0532,
159
+ "step": 25
160
+ },
161
+ {
162
+ "epoch": 0.17,
163
+ "learning_rate": 0.0001664516129032258,
164
+ "loss": 2.5908,
165
+ "step": 26
166
+ },
167
+ {
168
+ "epoch": 0.17,
169
+ "learning_rate": 0.00016516129032258066,
170
+ "loss": 2.7713,
171
+ "step": 27
172
+ },
173
+ {
174
+ "epoch": 0.18,
175
+ "learning_rate": 0.00016387096774193548,
176
+ "loss": 2.4241,
177
+ "step": 28
178
+ },
179
+ {
180
+ "epoch": 0.19,
181
+ "learning_rate": 0.00016258064516129034,
182
+ "loss": 2.6717,
183
+ "step": 29
184
+ },
185
+ {
186
+ "epoch": 0.19,
187
+ "learning_rate": 0.00016129032258064516,
188
+ "loss": 2.8446,
189
+ "step": 30
190
+ },
191
+ {
192
+ "epoch": 0.2,
193
+ "learning_rate": 0.00016,
194
+ "loss": 2.6616,
195
+ "step": 31
196
+ },
197
+ {
198
+ "epoch": 0.21,
199
+ "learning_rate": 0.00015870967741935487,
200
+ "loss": 2.3076,
201
+ "step": 32
202
+ },
203
+ {
204
+ "epoch": 0.21,
205
+ "learning_rate": 0.0001574193548387097,
206
+ "loss": 2.3784,
207
+ "step": 33
208
+ },
209
+ {
210
+ "epoch": 0.22,
211
+ "learning_rate": 0.00015612903225806451,
212
+ "loss": 2.8661,
213
+ "step": 34
214
+ },
215
+ {
216
+ "epoch": 0.23,
217
+ "learning_rate": 0.00015483870967741937,
218
+ "loss": 2.7698,
219
+ "step": 35
220
+ },
221
+ {
222
+ "epoch": 0.23,
223
+ "learning_rate": 0.0001535483870967742,
224
+ "loss": 3.0509,
225
+ "step": 36
226
+ },
227
+ {
228
+ "epoch": 0.24,
229
+ "learning_rate": 0.00015225806451612902,
230
+ "loss": 2.9071,
231
+ "step": 37
232
+ },
233
+ {
234
+ "epoch": 0.25,
235
+ "learning_rate": 0.0001509677419354839,
236
+ "loss": 2.5806,
237
+ "step": 38
238
+ },
239
+ {
240
+ "epoch": 0.25,
241
+ "learning_rate": 0.00014967741935483872,
242
+ "loss": 2.7682,
243
+ "step": 39
244
+ },
245
+ {
246
+ "epoch": 0.26,
247
+ "learning_rate": 0.00014838709677419355,
248
+ "loss": 2.4589,
249
+ "step": 40
250
+ },
251
+ {
252
+ "epoch": 0.26,
253
+ "learning_rate": 0.0001470967741935484,
254
+ "loss": 2.7426,
255
+ "step": 41
256
+ },
257
+ {
258
+ "epoch": 0.27,
259
+ "learning_rate": 0.00014580645161290322,
260
+ "loss": 2.353,
261
+ "step": 42
262
+ },
263
+ {
264
+ "epoch": 0.28,
265
+ "learning_rate": 0.00014451612903225807,
266
+ "loss": 2.5173,
267
+ "step": 43
268
+ },
269
+ {
270
+ "epoch": 0.28,
271
+ "learning_rate": 0.00014322580645161293,
272
+ "loss": 2.3351,
273
+ "step": 44
274
+ },
275
+ {
276
+ "epoch": 0.29,
277
+ "learning_rate": 0.00014193548387096775,
278
+ "loss": 2.5319,
279
+ "step": 45
280
+ },
281
+ {
282
+ "epoch": 0.3,
283
+ "learning_rate": 0.0001406451612903226,
284
+ "loss": 2.3194,
285
+ "step": 46
286
+ },
287
+ {
288
+ "epoch": 0.3,
289
+ "learning_rate": 0.00013935483870967743,
290
+ "loss": 2.4565,
291
+ "step": 47
292
+ },
293
+ {
294
+ "epoch": 0.31,
295
+ "learning_rate": 0.00013806451612903225,
296
+ "loss": 1.7739,
297
+ "step": 48
298
+ },
299
+ {
300
+ "epoch": 0.32,
301
+ "learning_rate": 0.0001367741935483871,
302
+ "loss": 2.3309,
303
+ "step": 49
304
+ },
305
+ {
306
+ "epoch": 0.32,
307
+ "learning_rate": 0.00013548387096774193,
308
+ "loss": 2.5577,
309
+ "step": 50
310
+ },
311
+ {
312
+ "epoch": 0.33,
313
+ "learning_rate": 0.00013419354838709678,
314
+ "loss": 2.0317,
315
+ "step": 51
316
+ },
317
+ {
318
+ "epoch": 0.34,
319
+ "learning_rate": 0.00013290322580645163,
320
+ "loss": 2.9939,
321
+ "step": 52
322
+ },
323
+ {
324
+ "epoch": 0.34,
325
+ "learning_rate": 0.00013161290322580646,
326
+ "loss": 3.1213,
327
+ "step": 53
328
+ },
329
+ {
330
+ "epoch": 0.35,
331
+ "learning_rate": 0.0001303225806451613,
332
+ "loss": 2.0057,
333
+ "step": 54
334
+ },
335
+ {
336
+ "epoch": 0.35,
337
+ "learning_rate": 0.00012903225806451613,
338
+ "loss": 1.4559,
339
+ "step": 55
340
+ },
341
+ {
342
+ "epoch": 0.36,
343
+ "learning_rate": 0.00012774193548387096,
344
+ "loss": 1.9017,
345
+ "step": 56
346
+ },
347
+ {
348
+ "epoch": 0.37,
349
+ "learning_rate": 0.0001264516129032258,
350
+ "loss": 2.0386,
351
+ "step": 57
352
+ },
353
+ {
354
+ "epoch": 0.37,
355
+ "learning_rate": 0.00012516129032258066,
356
+ "loss": 2.0177,
357
+ "step": 58
358
+ },
359
+ {
360
+ "epoch": 0.38,
361
+ "learning_rate": 0.0001238709677419355,
362
+ "loss": 2.6006,
363
+ "step": 59
364
+ },
365
+ {
366
+ "epoch": 0.39,
367
+ "learning_rate": 0.00012258064516129034,
368
+ "loss": 2.543,
369
+ "step": 60
370
+ },
371
+ {
372
+ "epoch": 0.39,
373
+ "learning_rate": 0.00012129032258064516,
374
+ "loss": 2.401,
375
+ "step": 61
376
+ },
377
+ {
378
+ "epoch": 0.4,
379
+ "learning_rate": 0.00012,
380
+ "loss": 2.2931,
381
+ "step": 62
382
+ },
383
+ {
384
+ "epoch": 0.41,
385
+ "learning_rate": 0.00011870967741935484,
386
+ "loss": 2.7531,
387
+ "step": 63
388
+ },
389
+ {
390
+ "epoch": 0.41,
391
+ "learning_rate": 0.00011741935483870967,
392
+ "loss": 2.3478,
393
+ "step": 64
394
+ },
395
+ {
396
+ "epoch": 0.42,
397
+ "learning_rate": 0.00011612903225806453,
398
+ "loss": 2.7799,
399
+ "step": 65
400
+ },
401
+ {
402
+ "epoch": 0.43,
403
+ "learning_rate": 0.00011483870967741937,
404
+ "loss": 2.0962,
405
+ "step": 66
406
+ },
407
+ {
408
+ "epoch": 0.43,
409
+ "learning_rate": 0.0001135483870967742,
410
+ "loss": 2.5596,
411
+ "step": 67
412
+ },
413
+ {
414
+ "epoch": 0.44,
415
+ "learning_rate": 0.00011225806451612903,
416
+ "loss": 2.4893,
417
+ "step": 68
418
+ },
419
+ {
420
+ "epoch": 0.45,
421
+ "learning_rate": 0.00011096774193548387,
422
+ "loss": 2.5819,
423
+ "step": 69
424
+ },
425
+ {
426
+ "epoch": 0.45,
427
+ "learning_rate": 0.00010967741935483871,
428
+ "loss": 2.5943,
429
+ "step": 70
430
+ },
431
+ {
432
+ "epoch": 0.46,
433
+ "learning_rate": 0.00010838709677419356,
434
+ "loss": 2.5922,
435
+ "step": 71
436
+ },
437
+ {
438
+ "epoch": 0.46,
439
+ "learning_rate": 0.0001070967741935484,
440
+ "loss": 2.7867,
441
+ "step": 72
442
+ },
443
+ {
444
+ "epoch": 0.47,
445
+ "learning_rate": 0.00010580645161290324,
446
+ "loss": 2.9934,
447
+ "step": 73
448
+ },
449
+ {
450
+ "epoch": 0.48,
451
+ "learning_rate": 0.00010451612903225806,
452
+ "loss": 2.0741,
453
+ "step": 74
454
+ },
455
+ {
456
+ "epoch": 0.48,
457
+ "learning_rate": 0.0001032258064516129,
458
+ "loss": 2.371,
459
+ "step": 75
460
+ },
461
+ {
462
+ "epoch": 0.49,
463
+ "learning_rate": 0.00010193548387096774,
464
+ "loss": 2.2222,
465
+ "step": 76
466
+ },
467
+ {
468
+ "epoch": 0.5,
469
+ "learning_rate": 0.00010064516129032258,
470
+ "loss": 1.8981,
471
+ "step": 77
472
+ },
473
+ {
474
+ "epoch": 0.5,
475
+ "learning_rate": 9.935483870967742e-05,
476
+ "loss": 2.2085,
477
+ "step": 78
478
+ },
479
+ {
480
+ "epoch": 0.51,
481
+ "learning_rate": 9.806451612903226e-05,
482
+ "loss": 2.43,
483
+ "step": 79
484
+ },
485
+ {
486
+ "epoch": 0.52,
487
+ "learning_rate": 9.677419354838711e-05,
488
+ "loss": 2.0956,
489
+ "step": 80
490
+ },
491
+ {
492
+ "epoch": 0.52,
493
+ "learning_rate": 9.548387096774195e-05,
494
+ "loss": 2.1909,
495
+ "step": 81
496
+ },
497
+ {
498
+ "epoch": 0.53,
499
+ "learning_rate": 9.419354838709677e-05,
500
+ "loss": 3.139,
501
+ "step": 82
502
+ },
503
+ {
504
+ "epoch": 0.54,
505
+ "learning_rate": 9.290322580645162e-05,
506
+ "loss": 1.915,
507
+ "step": 83
508
+ },
509
+ {
510
+ "epoch": 0.54,
511
+ "learning_rate": 9.161290322580646e-05,
512
+ "loss": 3.089,
513
+ "step": 84
514
+ },
515
+ {
516
+ "epoch": 0.55,
517
+ "learning_rate": 9.032258064516129e-05,
518
+ "loss": 2.226,
519
+ "step": 85
520
+ },
521
+ {
522
+ "epoch": 0.55,
523
+ "learning_rate": 8.903225806451614e-05,
524
+ "loss": 2.8796,
525
+ "step": 86
526
+ },
527
+ {
528
+ "epoch": 0.56,
529
+ "learning_rate": 8.774193548387098e-05,
530
+ "loss": 2.579,
531
+ "step": 87
532
+ },
533
+ {
534
+ "epoch": 0.57,
535
+ "learning_rate": 8.645161290322581e-05,
536
+ "loss": 2.0254,
537
+ "step": 88
538
+ },
539
+ {
540
+ "epoch": 0.57,
541
+ "learning_rate": 8.516129032258064e-05,
542
+ "loss": 1.689,
543
+ "step": 89
544
+ },
545
+ {
546
+ "epoch": 0.58,
547
+ "learning_rate": 8.387096774193549e-05,
548
+ "loss": 3.0117,
549
+ "step": 90
550
+ },
551
+ {
552
+ "epoch": 0.59,
553
+ "learning_rate": 8.258064516129033e-05,
554
+ "loss": 2.5169,
555
+ "step": 91
556
+ },
557
+ {
558
+ "epoch": 0.59,
559
+ "learning_rate": 8.129032258064517e-05,
560
+ "loss": 2.2028,
561
+ "step": 92
562
+ },
563
+ {
564
+ "epoch": 0.6,
565
+ "learning_rate": 8e-05,
566
+ "loss": 2.7676,
567
+ "step": 93
568
+ },
569
+ {
570
+ "epoch": 0.61,
571
+ "learning_rate": 7.870967741935484e-05,
572
+ "loss": 2.4326,
573
+ "step": 94
574
+ },
575
+ {
576
+ "epoch": 0.61,
577
+ "learning_rate": 7.741935483870968e-05,
578
+ "loss": 2.4871,
579
+ "step": 95
580
+ },
581
+ {
582
+ "epoch": 0.62,
583
+ "learning_rate": 7.612903225806451e-05,
584
+ "loss": 3.8584,
585
+ "step": 96
586
+ },
587
+ {
588
+ "epoch": 0.63,
589
+ "learning_rate": 7.483870967741936e-05,
590
+ "loss": 2.2319,
591
+ "step": 97
592
+ },
593
+ {
594
+ "epoch": 0.63,
595
+ "learning_rate": 7.35483870967742e-05,
596
+ "loss": 2.9421,
597
+ "step": 98
598
+ },
599
+ {
600
+ "epoch": 0.64,
601
+ "learning_rate": 7.225806451612904e-05,
602
+ "loss": 2.3276,
603
+ "step": 99
604
+ },
605
+ {
606
+ "epoch": 0.65,
607
+ "learning_rate": 7.096774193548388e-05,
608
+ "loss": 2.662,
609
+ "step": 100
610
+ },
611
+ {
612
+ "epoch": 0.65,
613
+ "learning_rate": 6.967741935483871e-05,
614
+ "loss": 2.4066,
615
+ "step": 101
616
+ },
617
+ {
618
+ "epoch": 0.66,
619
+ "learning_rate": 6.838709677419355e-05,
620
+ "loss": 2.3137,
621
+ "step": 102
622
+ },
623
+ {
624
+ "epoch": 0.66,
625
+ "learning_rate": 6.709677419354839e-05,
626
+ "loss": 2.379,
627
+ "step": 103
628
+ },
629
+ {
630
+ "epoch": 0.67,
631
+ "learning_rate": 6.580645161290323e-05,
632
+ "loss": 2.8036,
633
+ "step": 104
634
+ },
635
+ {
636
+ "epoch": 0.68,
637
+ "learning_rate": 6.451612903225807e-05,
638
+ "loss": 1.8447,
639
+ "step": 105
640
+ },
641
+ {
642
+ "epoch": 0.68,
643
+ "learning_rate": 6.32258064516129e-05,
644
+ "loss": 3.0718,
645
+ "step": 106
646
+ },
647
+ {
648
+ "epoch": 0.69,
649
+ "learning_rate": 6.193548387096774e-05,
650
+ "loss": 2.7225,
651
+ "step": 107
652
+ },
653
+ {
654
+ "epoch": 0.7,
655
+ "learning_rate": 6.064516129032258e-05,
656
+ "loss": 3.1034,
657
+ "step": 108
658
+ },
659
+ {
660
+ "epoch": 0.7,
661
+ "learning_rate": 5.935483870967742e-05,
662
+ "loss": 2.8354,
663
+ "step": 109
664
+ },
665
+ {
666
+ "epoch": 0.71,
667
+ "learning_rate": 5.8064516129032266e-05,
668
+ "loss": 2.5716,
669
+ "step": 110
670
+ },
671
+ {
672
+ "epoch": 0.72,
673
+ "learning_rate": 5.67741935483871e-05,
674
+ "loss": 2.6014,
675
+ "step": 111
676
+ },
677
+ {
678
+ "epoch": 0.72,
679
+ "learning_rate": 5.5483870967741936e-05,
680
+ "loss": 2.1639,
681
+ "step": 112
682
+ },
683
+ {
684
+ "epoch": 0.73,
685
+ "learning_rate": 5.419354838709678e-05,
686
+ "loss": 2.3661,
687
+ "step": 113
688
+ },
689
+ {
690
+ "epoch": 0.74,
691
+ "learning_rate": 5.290322580645162e-05,
692
+ "loss": 2.2034,
693
+ "step": 114
694
+ },
695
+ {
696
+ "epoch": 0.74,
697
+ "learning_rate": 5.161290322580645e-05,
698
+ "loss": 2.3003,
699
+ "step": 115
700
+ },
701
+ {
702
+ "epoch": 0.75,
703
+ "learning_rate": 5.032258064516129e-05,
704
+ "loss": 2.0926,
705
+ "step": 116
706
+ },
707
+ {
708
+ "epoch": 0.75,
709
+ "learning_rate": 4.903225806451613e-05,
710
+ "loss": 2.1339,
711
+ "step": 117
712
+ },
713
+ {
714
+ "epoch": 0.76,
715
+ "learning_rate": 4.774193548387097e-05,
716
+ "loss": 2.4229,
717
+ "step": 118
718
+ },
719
+ {
720
+ "epoch": 0.77,
721
+ "learning_rate": 4.645161290322581e-05,
722
+ "loss": 2.5723,
723
+ "step": 119
724
+ },
725
+ {
726
+ "epoch": 0.77,
727
+ "learning_rate": 4.516129032258064e-05,
728
+ "loss": 2.471,
729
+ "step": 120
730
+ },
731
+ {
732
+ "epoch": 0.78,
733
+ "learning_rate": 4.387096774193549e-05,
734
+ "loss": 2.1827,
735
+ "step": 121
736
+ },
737
+ {
738
+ "epoch": 0.79,
739
+ "learning_rate": 4.258064516129032e-05,
740
+ "loss": 2.256,
741
+ "step": 122
742
+ },
743
+ {
744
+ "epoch": 0.79,
745
+ "learning_rate": 4.1290322580645165e-05,
746
+ "loss": 1.9319,
747
+ "step": 123
748
+ },
749
+ {
750
+ "epoch": 0.8,
751
+ "learning_rate": 4e-05,
752
+ "loss": 2.3735,
753
+ "step": 124
754
+ },
755
+ {
756
+ "epoch": 0.81,
757
+ "learning_rate": 3.870967741935484e-05,
758
+ "loss": 3.3083,
759
+ "step": 125
760
+ },
761
+ {
762
+ "epoch": 0.81,
763
+ "learning_rate": 3.741935483870968e-05,
764
+ "loss": 2.6105,
765
+ "step": 126
766
+ },
767
+ {
768
+ "epoch": 0.82,
769
+ "learning_rate": 3.612903225806452e-05,
770
+ "loss": 2.8468,
771
+ "step": 127
772
+ },
773
+ {
774
+ "epoch": 0.83,
775
+ "learning_rate": 3.483870967741936e-05,
776
+ "loss": 2.6511,
777
+ "step": 128
778
+ },
779
+ {
780
+ "epoch": 0.83,
781
+ "learning_rate": 3.3548387096774195e-05,
782
+ "loss": 2.424,
783
+ "step": 129
784
+ },
785
+ {
786
+ "epoch": 0.84,
787
+ "learning_rate": 3.2258064516129034e-05,
788
+ "loss": 2.5496,
789
+ "step": 130
790
+ },
791
+ {
792
+ "epoch": 0.85,
793
+ "learning_rate": 3.096774193548387e-05,
794
+ "loss": 2.1921,
795
+ "step": 131
796
+ },
797
+ {
798
+ "epoch": 0.85,
799
+ "learning_rate": 2.967741935483871e-05,
800
+ "loss": 2.2175,
801
+ "step": 132
802
+ },
803
+ {
804
+ "epoch": 0.86,
805
+ "learning_rate": 2.838709677419355e-05,
806
+ "loss": 1.6908,
807
+ "step": 133
808
+ },
809
+ {
810
+ "epoch": 0.86,
811
+ "learning_rate": 2.709677419354839e-05,
812
+ "loss": 2.6133,
813
+ "step": 134
814
+ },
815
+ {
816
+ "epoch": 0.87,
817
+ "learning_rate": 2.5806451612903226e-05,
818
+ "loss": 2.2093,
819
+ "step": 135
820
+ },
821
+ {
822
+ "epoch": 0.88,
823
+ "learning_rate": 2.4516129032258064e-05,
824
+ "loss": 2.6935,
825
+ "step": 136
826
+ },
827
+ {
828
+ "epoch": 0.88,
829
+ "learning_rate": 2.3225806451612906e-05,
830
+ "loss": 2.4553,
831
+ "step": 137
832
+ },
833
+ {
834
+ "epoch": 0.89,
835
+ "learning_rate": 2.1935483870967744e-05,
836
+ "loss": 2.4681,
837
+ "step": 138
838
+ },
839
+ {
840
+ "epoch": 0.9,
841
+ "learning_rate": 2.0645161290322582e-05,
842
+ "loss": 1.8384,
843
+ "step": 139
844
+ },
845
+ {
846
+ "epoch": 0.9,
847
+ "learning_rate": 1.935483870967742e-05,
848
+ "loss": 2.1883,
849
+ "step": 140
850
+ },
851
+ {
852
+ "epoch": 0.91,
853
+ "learning_rate": 1.806451612903226e-05,
854
+ "loss": 2.4338,
855
+ "step": 141
856
+ },
857
+ {
858
+ "epoch": 0.92,
859
+ "learning_rate": 1.6774193548387098e-05,
860
+ "loss": 3.0665,
861
+ "step": 142
862
+ },
863
+ {
864
+ "epoch": 0.92,
865
+ "learning_rate": 1.5483870967741936e-05,
866
+ "loss": 2.2678,
867
+ "step": 143
868
+ },
869
+ {
870
+ "epoch": 0.93,
871
+ "learning_rate": 1.4193548387096774e-05,
872
+ "loss": 2.7912,
873
+ "step": 144
874
+ },
875
+ {
876
+ "epoch": 0.94,
877
+ "learning_rate": 1.2903225806451613e-05,
878
+ "loss": 2.5368,
879
+ "step": 145
880
+ },
881
+ {
882
+ "epoch": 0.94,
883
+ "learning_rate": 1.1612903225806453e-05,
884
+ "loss": 2.0611,
885
+ "step": 146
886
+ },
887
+ {
888
+ "epoch": 0.95,
889
+ "learning_rate": 1.0322580645161291e-05,
890
+ "loss": 2.3654,
891
+ "step": 147
892
+ },
893
+ {
894
+ "epoch": 0.95,
895
+ "learning_rate": 9.03225806451613e-06,
896
+ "loss": 5.5901,
897
+ "step": 148
898
+ },
899
+ {
900
+ "epoch": 0.96,
901
+ "learning_rate": 7.741935483870968e-06,
902
+ "loss": 2.7886,
903
+ "step": 149
904
+ },
905
+ {
906
+ "epoch": 0.97,
907
+ "learning_rate": 6.451612903225806e-06,
908
+ "loss": 2.855,
909
+ "step": 150
910
+ },
911
+ {
912
+ "epoch": 0.97,
913
+ "learning_rate": 5.161290322580646e-06,
914
+ "loss": 2.5303,
915
+ "step": 151
916
+ },
917
+ {
918
+ "epoch": 0.98,
919
+ "learning_rate": 3.870967741935484e-06,
920
+ "loss": 2.453,
921
+ "step": 152
922
+ },
923
+ {
924
+ "epoch": 0.99,
925
+ "learning_rate": 2.580645161290323e-06,
926
+ "loss": 2.4346,
927
+ "step": 153
928
+ },
929
+ {
930
+ "epoch": 0.99,
931
+ "learning_rate": 1.2903225806451614e-06,
932
+ "loss": 2.3262,
933
+ "step": 154
934
+ },
935
+ {
936
+ "epoch": 1.0,
937
+ "learning_rate": 0.0,
938
+ "loss": 2.5423,
939
+ "step": 155
940
+ }
941
+ ],
942
+ "logging_steps": 1,
943
+ "max_steps": 155,
944
+ "num_input_tokens_seen": 0,
945
+ "num_train_epochs": 1,
946
+ "save_steps": 500,
947
+ "total_flos": 7324808442032640.0,
948
+ "train_batch_size": 1,
949
+ "trial_name": null,
950
+ "trial_params": null
951
+ }
run/checkpoint-1-epoch/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:968b98ecbeb7925467991dff339c816193cf55b678f13d692700bbb2b38c94a1
3
+ size 4728