ray
commited on
Commit
•
5ae38a0
1
Parent(s):
10baf84
add file
Browse files- added_tokens.json +7 -0
- config.json +39 -0
- generation_config.json +6 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +33 -0
- tokenizer.json +0 -0
- tokenizer_config.json +31 -0
- trainer_state.json +1870 -0
- vocab.json +0 -0
added_tokens.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"<|assistant|>": 49155,
|
3 |
+
"<|prefix_begin|>": 49152,
|
4 |
+
"<|prefix_end|>": 49153,
|
5 |
+
"<|prompter|>": 49154,
|
6 |
+
"<|system|>": 49156
|
7 |
+
}
|
config.json
ADDED
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "saved_models/starcoderbase-1b",
|
3 |
+
"activation_function": "gelu_pytorch_tanh",
|
4 |
+
"architectures": [
|
5 |
+
"GPTBigCodeForCausalLM"
|
6 |
+
],
|
7 |
+
"attention_softmax_in_fp32": true,
|
8 |
+
"attn_pdrop": 0.1,
|
9 |
+
"bos_token_id": 0,
|
10 |
+
"embd_pdrop": 0.1,
|
11 |
+
"eos_token_id": 0,
|
12 |
+
"inference_runner": 0,
|
13 |
+
"initializer_range": 0.02,
|
14 |
+
"layer_norm_epsilon": 1e-05,
|
15 |
+
"max_batch_size": null,
|
16 |
+
"max_sequence_length": null,
|
17 |
+
"model_type": "gpt_bigcode",
|
18 |
+
"multi_query": true,
|
19 |
+
"n_embd": 2048,
|
20 |
+
"n_head": 16,
|
21 |
+
"n_inner": 8192,
|
22 |
+
"n_layer": 24,
|
23 |
+
"n_positions": 8192,
|
24 |
+
"pad_key_length": true,
|
25 |
+
"pre_allocate_kv_cache": false,
|
26 |
+
"resid_pdrop": 0.1,
|
27 |
+
"scale_attention_softmax_in_fp32": true,
|
28 |
+
"scale_attn_weights": true,
|
29 |
+
"summary_activation": null,
|
30 |
+
"summary_first_dropout": 0.1,
|
31 |
+
"summary_proj_to_labels": true,
|
32 |
+
"summary_type": "cls_index",
|
33 |
+
"summary_use_proj": true,
|
34 |
+
"torch_dtype": "float16",
|
35 |
+
"transformers_version": "4.30.0.dev0",
|
36 |
+
"use_cache": true,
|
37 |
+
"validate_runner_input": true,
|
38 |
+
"vocab_size": 49168
|
39 |
+
}
|
generation_config.json
ADDED
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"bos_token_id": 0,
|
4 |
+
"eos_token_id": 0,
|
5 |
+
"transformers_version": "4.30.0.dev0"
|
6 |
+
}
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:bccad75b61fe5f7666f08ef3d1b983bb0a7ca009c34baefae1d821c3972e40d6
|
3 |
+
size 2274516541
|
special_tokens_map.json
ADDED
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"<issue_comment>",
|
4 |
+
"<fim_suffix>",
|
5 |
+
"<fim_pad>",
|
6 |
+
"<empty_output>",
|
7 |
+
"<issue_start>",
|
8 |
+
"<commit_msg>",
|
9 |
+
"<reponame>",
|
10 |
+
"<gh_stars>",
|
11 |
+
"<|endoftext|>",
|
12 |
+
"<commit_after>",
|
13 |
+
"<jupyter_text>",
|
14 |
+
"<|prefix_begin|>",
|
15 |
+
"<|prefix_end|>",
|
16 |
+
"<jupyter_start>",
|
17 |
+
"<jupyter_output>",
|
18 |
+
"<commit_before>",
|
19 |
+
"<|prompter|>",
|
20 |
+
"<|assistant|>",
|
21 |
+
"<|system|>",
|
22 |
+
"<jupyter_code>",
|
23 |
+
"<issue_closed>",
|
24 |
+
"<fim_middle>",
|
25 |
+
"<filename>",
|
26 |
+
"<fim_prefix>"
|
27 |
+
],
|
28 |
+
"bos_token": "<|endoftext|>",
|
29 |
+
"eos_token": "<|endoftext|>",
|
30 |
+
"pad_token": "<|endoftext|>",
|
31 |
+
"sep_token": "<|endoftext|>",
|
32 |
+
"unk_token": "<|endoftext|>"
|
33 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_prefix_space": false,
|
3 |
+
"additional_special_tokens": [
|
4 |
+
"<|endoftext|>",
|
5 |
+
"<fim_prefix>",
|
6 |
+
"<fim_middle>",
|
7 |
+
"<fim_suffix>",
|
8 |
+
"<fim_pad>",
|
9 |
+
"<filename>",
|
10 |
+
"<gh_stars>",
|
11 |
+
"<issue_start>",
|
12 |
+
"<issue_comment>",
|
13 |
+
"<issue_closed>",
|
14 |
+
"<jupyter_start>",
|
15 |
+
"<jupyter_text>",
|
16 |
+
"<jupyter_code>",
|
17 |
+
"<jupyter_output>",
|
18 |
+
"<empty_output>",
|
19 |
+
"<commit_before>",
|
20 |
+
"<commit_msg>",
|
21 |
+
"<commit_after>",
|
22 |
+
"<reponame>"
|
23 |
+
],
|
24 |
+
"bos_token": "<|endoftext|>",
|
25 |
+
"clean_up_tokenization_spaces": true,
|
26 |
+
"eos_token": "<|endoftext|>",
|
27 |
+
"model_max_length": 1000000000000000019884624838656,
|
28 |
+
"tokenizer_class": "GPT2Tokenizer",
|
29 |
+
"unk_token": "<|endoftext|>",
|
30 |
+
"vocab_size": 49152
|
31 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1870 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 7.550335570469799,
|
5 |
+
"global_step": 3000,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.03,
|
12 |
+
"learning_rate": 2.8169934667141895e-06,
|
13 |
+
"loss": 1.2113,
|
14 |
+
"step": 10
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.05,
|
18 |
+
"learning_rate": 4.101496404594247e-06,
|
19 |
+
"loss": 1.1368,
|
20 |
+
"step": 20
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.08,
|
24 |
+
"learning_rate": 4.771212547196624e-06,
|
25 |
+
"loss": 1.0866,
|
26 |
+
"step": 30
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.1,
|
30 |
+
"learning_rate": 5.227339080223317e-06,
|
31 |
+
"loss": 1.0541,
|
32 |
+
"step": 40
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.13,
|
36 |
+
"learning_rate": 5.5736595264523914e-06,
|
37 |
+
"loss": 1.0277,
|
38 |
+
"step": 50
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.15,
|
42 |
+
"learning_rate": 5.852916185574972e-06,
|
43 |
+
"loss": 1.0367,
|
44 |
+
"step": 60
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.18,
|
48 |
+
"learning_rate": 6.086916009002755e-06,
|
49 |
+
"loss": 1.0106,
|
50 |
+
"step": 70
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.2,
|
54 |
+
"learning_rate": 6.288302417241607e-06,
|
55 |
+
"loss": 1.0122,
|
56 |
+
"step": 80
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.23,
|
60 |
+
"learning_rate": 6.465064175395396e-06,
|
61 |
+
"loss": 0.9955,
|
62 |
+
"step": 90
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.25,
|
66 |
+
"learning_rate": 6.622572447554151e-06,
|
67 |
+
"loss": 0.9957,
|
68 |
+
"step": 100
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.28,
|
72 |
+
"learning_rate": 6.7646125922840325e-06,
|
73 |
+
"loss": 1.0047,
|
74 |
+
"step": 110
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.3,
|
78 |
+
"learning_rate": 6.893952872487206e-06,
|
79 |
+
"loss": 1.0056,
|
80 |
+
"step": 120
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.33,
|
84 |
+
"learning_rate": 7.01267906985319e-06,
|
85 |
+
"loss": 0.9908,
|
86 |
+
"step": 130
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.35,
|
90 |
+
"learning_rate": 7.122401890521357e-06,
|
91 |
+
"loss": 0.9841,
|
92 |
+
"step": 140
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.38,
|
96 |
+
"learning_rate": 7.224391115827254e-06,
|
97 |
+
"loss": 0.9865,
|
98 |
+
"step": 150
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.4,
|
102 |
+
"learning_rate": 7.31966550803078e-06,
|
103 |
+
"loss": 0.9963,
|
104 |
+
"step": 160
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.43,
|
108 |
+
"learning_rate": 7.409054903825279e-06,
|
109 |
+
"loss": 0.9818,
|
110 |
+
"step": 170
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 0.45,
|
114 |
+
"learning_rate": 7.493244221206023e-06,
|
115 |
+
"loss": 0.9678,
|
116 |
+
"step": 180
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 0.48,
|
120 |
+
"learning_rate": 7.572805355121664e-06,
|
121 |
+
"loss": 0.986,
|
122 |
+
"step": 190
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.5,
|
126 |
+
"learning_rate": 7.648220753871978e-06,
|
127 |
+
"loss": 0.984,
|
128 |
+
"step": 200
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.53,
|
132 |
+
"learning_rate": 7.719901151523059e-06,
|
133 |
+
"loss": 0.9686,
|
134 |
+
"step": 210
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 0.55,
|
138 |
+
"learning_rate": 7.788199112828433e-06,
|
139 |
+
"loss": 0.9692,
|
140 |
+
"step": 220
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 0.58,
|
144 |
+
"learning_rate": 7.853419523977077e-06,
|
145 |
+
"loss": 0.965,
|
146 |
+
"step": 230
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 0.6,
|
150 |
+
"learning_rate": 7.91582782003368e-06,
|
151 |
+
"loss": 0.9816,
|
152 |
+
"step": 240
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 0.63,
|
156 |
+
"learning_rate": 7.975656510865554e-06,
|
157 |
+
"loss": 0.9602,
|
158 |
+
"step": 250
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 0.65,
|
162 |
+
"learning_rate": 8.033110411104317e-06,
|
163 |
+
"loss": 0.9757,
|
164 |
+
"step": 260
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.68,
|
168 |
+
"learning_rate": 8.088370871215252e-06,
|
169 |
+
"loss": 0.9854,
|
170 |
+
"step": 270
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.7,
|
174 |
+
"learning_rate": 8.14159923021483e-06,
|
175 |
+
"loss": 0.9651,
|
176 |
+
"step": 280
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 0.73,
|
180 |
+
"learning_rate": 8.192939655779976e-06,
|
181 |
+
"loss": 0.9641,
|
182 |
+
"step": 290
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 0.76,
|
186 |
+
"learning_rate": 8.242521497724043e-06,
|
187 |
+
"loss": 0.9602,
|
188 |
+
"step": 300
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 0.78,
|
192 |
+
"learning_rate": 8.290461251590623e-06,
|
193 |
+
"loss": 0.9496,
|
194 |
+
"step": 310
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 0.81,
|
198 |
+
"learning_rate": 8.336864207392505e-06,
|
199 |
+
"loss": 0.9578,
|
200 |
+
"step": 320
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 0.83,
|
204 |
+
"learning_rate": 8.381825842200955e-06,
|
205 |
+
"loss": 0.9678,
|
206 |
+
"step": 330
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 0.86,
|
210 |
+
"learning_rate": 8.425433002904463e-06,
|
211 |
+
"loss": 0.9609,
|
212 |
+
"step": 340
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.88,
|
216 |
+
"learning_rate": 8.467764915969581e-06,
|
217 |
+
"loss": 0.9628,
|
218 |
+
"step": 350
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 0.91,
|
222 |
+
"learning_rate": 8.508894053707311e-06,
|
223 |
+
"loss": 0.9496,
|
224 |
+
"step": 360
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 0.93,
|
228 |
+
"learning_rate": 8.5488868808403e-06,
|
229 |
+
"loss": 0.9577,
|
230 |
+
"step": 370
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 0.96,
|
234 |
+
"learning_rate": 8.587804500685978e-06,
|
235 |
+
"loss": 0.9535,
|
236 |
+
"step": 380
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 0.98,
|
240 |
+
"learning_rate": 8.625703216729706e-06,
|
241 |
+
"loss": 0.9452,
|
242 |
+
"step": 390
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 1.01,
|
246 |
+
"learning_rate": 8.662635022543719e-06,
|
247 |
+
"loss": 0.9341,
|
248 |
+
"step": 400
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 1.03,
|
252 |
+
"learning_rate": 8.698648030750733e-06,
|
253 |
+
"loss": 0.9228,
|
254 |
+
"step": 410
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 1.06,
|
258 |
+
"learning_rate": 8.733786849912527e-06,
|
259 |
+
"loss": 0.9315,
|
260 |
+
"step": 420
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 1.08,
|
264 |
+
"learning_rate": 8.76809291675008e-06,
|
265 |
+
"loss": 0.9127,
|
266 |
+
"step": 430
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 1.11,
|
270 |
+
"learning_rate": 8.801604789901407e-06,
|
271 |
+
"loss": 0.9084,
|
272 |
+
"step": 440
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 1.13,
|
276 |
+
"learning_rate": 8.834358410439789e-06,
|
277 |
+
"loss": 0.9157,
|
278 |
+
"step": 450
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 1.16,
|
282 |
+
"learning_rate": 8.866387333566169e-06,
|
283 |
+
"loss": 0.9143,
|
284 |
+
"step": 460
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 1.18,
|
288 |
+
"learning_rate": 8.897722935220375e-06,
|
289 |
+
"loss": 0.9221,
|
290 |
+
"step": 470
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 1.21,
|
294 |
+
"learning_rate": 8.928394596800381e-06,
|
295 |
+
"loss": 0.911,
|
296 |
+
"step": 480
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 1.23,
|
300 |
+
"learning_rate": 8.958429870715448e-06,
|
301 |
+
"loss": 0.9176,
|
302 |
+
"step": 490
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 1.26,
|
306 |
+
"learning_rate": 8.987854629111107e-06,
|
307 |
+
"loss": 0.9122,
|
308 |
+
"step": 500
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 1.26,
|
312 |
+
"eval_code_evol_accuracy": 0.7536964329038056,
|
313 |
+
"eval_code_evol_loss": 0.9287109375,
|
314 |
+
"eval_code_evol_runtime": 27.3209,
|
315 |
+
"eval_code_evol_samples_per_second": 28.22,
|
316 |
+
"eval_code_evol_steps_per_second": 3.55,
|
317 |
+
"step": 500
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 1.28,
|
321 |
+
"learning_rate": 9.016693197777789e-06,
|
322 |
+
"loss": 0.9191,
|
323 |
+
"step": 510
|
324 |
+
},
|
325 |
+
{
|
326 |
+
"epoch": 1.31,
|
327 |
+
"learning_rate": 9.044968476979809e-06,
|
328 |
+
"loss": 0.9176,
|
329 |
+
"step": 520
|
330 |
+
},
|
331 |
+
{
|
332 |
+
"epoch": 1.33,
|
333 |
+
"learning_rate": 9.072702050708489e-06,
|
334 |
+
"loss": 0.9235,
|
335 |
+
"step": 530
|
336 |
+
},
|
337 |
+
{
|
338 |
+
"epoch": 1.36,
|
339 |
+
"learning_rate": 9.099914285665186e-06,
|
340 |
+
"loss": 0.899,
|
341 |
+
"step": 540
|
342 |
+
},
|
343 |
+
{
|
344 |
+
"epoch": 1.38,
|
345 |
+
"learning_rate": 9.126624421111438e-06,
|
346 |
+
"loss": 0.9364,
|
347 |
+
"step": 550
|
348 |
+
},
|
349 |
+
{
|
350 |
+
"epoch": 1.41,
|
351 |
+
"learning_rate": 9.152850650579098e-06,
|
352 |
+
"loss": 0.9136,
|
353 |
+
"step": 560
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 1.43,
|
357 |
+
"learning_rate": 9.17861019630969e-06,
|
358 |
+
"loss": 0.9204,
|
359 |
+
"step": 570
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 1.46,
|
363 |
+
"learning_rate": 9.203919377185773e-06,
|
364 |
+
"loss": 0.9167,
|
365 |
+
"step": 580
|
366 |
+
},
|
367 |
+
{
|
368 |
+
"epoch": 1.48,
|
369 |
+
"learning_rate": 9.228793670825383e-06,
|
370 |
+
"loss": 0.9092,
|
371 |
+
"step": 590
|
372 |
+
},
|
373 |
+
{
|
374 |
+
"epoch": 1.51,
|
375 |
+
"learning_rate": 9.253247770431231e-06,
|
376 |
+
"loss": 0.9183,
|
377 |
+
"step": 600
|
378 |
+
},
|
379 |
+
{
|
380 |
+
"epoch": 1.54,
|
381 |
+
"learning_rate": 9.277295636917526e-06,
|
382 |
+
"loss": 0.9113,
|
383 |
+
"step": 610
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 1.56,
|
387 |
+
"learning_rate": 9.300950546777473e-06,
|
388 |
+
"loss": 0.8988,
|
389 |
+
"step": 620
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 1.59,
|
393 |
+
"learning_rate": 9.324225136102389e-06,
|
394 |
+
"loss": 0.9229,
|
395 |
+
"step": 630
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 1.61,
|
399 |
+
"learning_rate": 9.347131441117836e-06,
|
400 |
+
"loss": 0.9193,
|
401 |
+
"step": 640
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 1.64,
|
405 |
+
"learning_rate": 9.369680935562337e-06,
|
406 |
+
"loss": 0.9085,
|
407 |
+
"step": 650
|
408 |
+
},
|
409 |
+
{
|
410 |
+
"epoch": 1.66,
|
411 |
+
"learning_rate": 9.39188456519927e-06,
|
412 |
+
"loss": 0.9128,
|
413 |
+
"step": 660
|
414 |
+
},
|
415 |
+
{
|
416 |
+
"epoch": 1.69,
|
417 |
+
"learning_rate": 9.41375277972183e-06,
|
418 |
+
"loss": 0.9079,
|
419 |
+
"step": 670
|
420 |
+
},
|
421 |
+
{
|
422 |
+
"epoch": 1.71,
|
423 |
+
"learning_rate": 9.435295562283815e-06,
|
424 |
+
"loss": 0.9097,
|
425 |
+
"step": 680
|
426 |
+
},
|
427 |
+
{
|
428 |
+
"epoch": 1.74,
|
429 |
+
"learning_rate": 9.456522456865169e-06,
|
430 |
+
"loss": 0.9077,
|
431 |
+
"step": 690
|
432 |
+
},
|
433 |
+
{
|
434 |
+
"epoch": 1.76,
|
435 |
+
"learning_rate": 9.477442593660033e-06,
|
436 |
+
"loss": 0.9147,
|
437 |
+
"step": 700
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 1.79,
|
441 |
+
"learning_rate": 9.498064712656333e-06,
|
442 |
+
"loss": 0.9096,
|
443 |
+
"step": 710
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 1.81,
|
447 |
+
"learning_rate": 9.518397185559335e-06,
|
448 |
+
"loss": 0.9009,
|
449 |
+
"step": 720
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 1.84,
|
453 |
+
"learning_rate": 9.538448036196794e-06,
|
454 |
+
"loss": 0.9214,
|
455 |
+
"step": 730
|
456 |
+
},
|
457 |
+
{
|
458 |
+
"epoch": 1.86,
|
459 |
+
"learning_rate": 9.558224959530173e-06,
|
460 |
+
"loss": 0.9198,
|
461 |
+
"step": 740
|
462 |
+
},
|
463 |
+
{
|
464 |
+
"epoch": 1.89,
|
465 |
+
"learning_rate": 9.577735339384664e-06,
|
466 |
+
"loss": 0.9162,
|
467 |
+
"step": 750
|
468 |
+
},
|
469 |
+
{
|
470 |
+
"epoch": 1.91,
|
471 |
+
"learning_rate": 9.596986265000242e-06,
|
472 |
+
"loss": 0.8982,
|
473 |
+
"step": 760
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"epoch": 1.94,
|
477 |
+
"learning_rate": 9.615984546496603e-06,
|
478 |
+
"loss": 0.9075,
|
479 |
+
"step": 770
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"epoch": 1.96,
|
483 |
+
"learning_rate": 9.634736729336382e-06,
|
484 |
+
"loss": 0.9104,
|
485 |
+
"step": 780
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 1.99,
|
489 |
+
"learning_rate": 9.653249107863549e-06,
|
490 |
+
"loss": 0.8939,
|
491 |
+
"step": 790
|
492 |
+
},
|
493 |
+
{
|
494 |
+
"epoch": 2.01,
|
495 |
+
"learning_rate": 9.671527737987041e-06,
|
496 |
+
"loss": 0.8777,
|
497 |
+
"step": 800
|
498 |
+
},
|
499 |
+
{
|
500 |
+
"epoch": 2.04,
|
501 |
+
"learning_rate": 9.68957844907357e-06,
|
502 |
+
"loss": 0.8674,
|
503 |
+
"step": 810
|
504 |
+
},
|
505 |
+
{
|
506 |
+
"epoch": 2.06,
|
507 |
+
"learning_rate": 9.707406855108054e-06,
|
508 |
+
"loss": 0.8647,
|
509 |
+
"step": 820
|
510 |
+
},
|
511 |
+
{
|
512 |
+
"epoch": 2.09,
|
513 |
+
"learning_rate": 9.725018365175157e-06,
|
514 |
+
"loss": 0.8778,
|
515 |
+
"step": 830
|
516 |
+
},
|
517 |
+
{
|
518 |
+
"epoch": 2.11,
|
519 |
+
"learning_rate": 9.742418193310868e-06,
|
520 |
+
"loss": 0.8665,
|
521 |
+
"step": 840
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 2.14,
|
525 |
+
"learning_rate": 9.759611367769025e-06,
|
526 |
+
"loss": 0.8717,
|
527 |
+
"step": 850
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 2.16,
|
531 |
+
"learning_rate": 9.776602739743996e-06,
|
532 |
+
"loss": 0.8663,
|
533 |
+
"step": 860
|
534 |
+
},
|
535 |
+
{
|
536 |
+
"epoch": 2.19,
|
537 |
+
"learning_rate": 9.793396991587369e-06,
|
538 |
+
"loss": 0.8599,
|
539 |
+
"step": 870
|
540 |
+
},
|
541 |
+
{
|
542 |
+
"epoch": 2.21,
|
543 |
+
"learning_rate": 9.80999864455347e-06,
|
544 |
+
"loss": 0.8634,
|
545 |
+
"step": 880
|
546 |
+
},
|
547 |
+
{
|
548 |
+
"epoch": 2.24,
|
549 |
+
"learning_rate": 9.826412066105755e-06,
|
550 |
+
"loss": 0.8725,
|
551 |
+
"step": 890
|
552 |
+
},
|
553 |
+
{
|
554 |
+
"epoch": 2.27,
|
555 |
+
"learning_rate": 9.842641476813642e-06,
|
556 |
+
"loss": 0.8699,
|
557 |
+
"step": 900
|
558 |
+
},
|
559 |
+
{
|
560 |
+
"epoch": 2.29,
|
561 |
+
"learning_rate": 9.858690956866985e-06,
|
562 |
+
"loss": 0.8634,
|
563 |
+
"step": 910
|
564 |
+
},
|
565 |
+
{
|
566 |
+
"epoch": 2.32,
|
567 |
+
"learning_rate": 9.874564452233405e-06,
|
568 |
+
"loss": 0.8753,
|
569 |
+
"step": 920
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 2.34,
|
573 |
+
"learning_rate": 9.890265780481658e-06,
|
574 |
+
"loss": 0.8694,
|
575 |
+
"step": 930
|
576 |
+
},
|
577 |
+
{
|
578 |
+
"epoch": 2.37,
|
579 |
+
"learning_rate": 9.905798636292595e-06,
|
580 |
+
"loss": 0.8701,
|
581 |
+
"step": 940
|
582 |
+
},
|
583 |
+
{
|
584 |
+
"epoch": 2.39,
|
585 |
+
"learning_rate": 9.92116659667758e-06,
|
586 |
+
"loss": 0.88,
|
587 |
+
"step": 950
|
588 |
+
},
|
589 |
+
{
|
590 |
+
"epoch": 2.42,
|
591 |
+
"learning_rate": 9.936373125922813e-06,
|
592 |
+
"loss": 0.8711,
|
593 |
+
"step": 960
|
594 |
+
},
|
595 |
+
{
|
596 |
+
"epoch": 2.44,
|
597 |
+
"learning_rate": 9.951421580276673e-06,
|
598 |
+
"loss": 0.8564,
|
599 |
+
"step": 970
|
600 |
+
},
|
601 |
+
{
|
602 |
+
"epoch": 2.47,
|
603 |
+
"learning_rate": 9.966315212395911e-06,
|
604 |
+
"loss": 0.879,
|
605 |
+
"step": 980
|
606 |
+
},
|
607 |
+
{
|
608 |
+
"epoch": 2.49,
|
609 |
+
"learning_rate": 9.981057175565457e-06,
|
610 |
+
"loss": 0.8744,
|
611 |
+
"step": 990
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 2.52,
|
615 |
+
"learning_rate": 9.99565052770552e-06,
|
616 |
+
"loss": 0.8517,
|
617 |
+
"step": 1000
|
618 |
+
},
|
619 |
+
{
|
620 |
+
"epoch": 2.52,
|
621 |
+
"eval_code_evol_accuracy": 0.7573287954429739,
|
622 |
+
"eval_code_evol_loss": 0.908203125,
|
623 |
+
"eval_code_evol_runtime": 9.3653,
|
624 |
+
"eval_code_evol_samples_per_second": 82.325,
|
625 |
+
"eval_code_evol_steps_per_second": 10.357,
|
626 |
+
"step": 1000
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 2.54,
|
630 |
+
"learning_rate": 9.972426470588235e-06,
|
631 |
+
"loss": 0.8765,
|
632 |
+
"step": 1010
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 2.57,
|
636 |
+
"learning_rate": 9.926470588235295e-06,
|
637 |
+
"loss": 0.877,
|
638 |
+
"step": 1020
|
639 |
+
},
|
640 |
+
{
|
641 |
+
"epoch": 2.59,
|
642 |
+
"learning_rate": 9.880514705882353e-06,
|
643 |
+
"loss": 0.8678,
|
644 |
+
"step": 1030
|
645 |
+
},
|
646 |
+
{
|
647 |
+
"epoch": 2.62,
|
648 |
+
"learning_rate": 9.834558823529412e-06,
|
649 |
+
"loss": 0.8656,
|
650 |
+
"step": 1040
|
651 |
+
},
|
652 |
+
{
|
653 |
+
"epoch": 2.64,
|
654 |
+
"learning_rate": 9.788602941176472e-06,
|
655 |
+
"loss": 0.8811,
|
656 |
+
"step": 1050
|
657 |
+
},
|
658 |
+
{
|
659 |
+
"epoch": 2.67,
|
660 |
+
"learning_rate": 9.74264705882353e-06,
|
661 |
+
"loss": 0.8484,
|
662 |
+
"step": 1060
|
663 |
+
},
|
664 |
+
{
|
665 |
+
"epoch": 2.69,
|
666 |
+
"learning_rate": 9.69669117647059e-06,
|
667 |
+
"loss": 0.8701,
|
668 |
+
"step": 1070
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 2.72,
|
672 |
+
"learning_rate": 9.650735294117649e-06,
|
673 |
+
"loss": 0.8549,
|
674 |
+
"step": 1080
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 2.74,
|
678 |
+
"learning_rate": 9.604779411764707e-06,
|
679 |
+
"loss": 0.8762,
|
680 |
+
"step": 1090
|
681 |
+
},
|
682 |
+
{
|
683 |
+
"epoch": 2.77,
|
684 |
+
"learning_rate": 9.558823529411766e-06,
|
685 |
+
"loss": 0.8597,
|
686 |
+
"step": 1100
|
687 |
+
},
|
688 |
+
{
|
689 |
+
"epoch": 2.79,
|
690 |
+
"learning_rate": 9.512867647058824e-06,
|
691 |
+
"loss": 0.8579,
|
692 |
+
"step": 1110
|
693 |
+
},
|
694 |
+
{
|
695 |
+
"epoch": 2.82,
|
696 |
+
"learning_rate": 9.466911764705882e-06,
|
697 |
+
"loss": 0.8698,
|
698 |
+
"step": 1120
|
699 |
+
},
|
700 |
+
{
|
701 |
+
"epoch": 2.84,
|
702 |
+
"learning_rate": 9.420955882352942e-06,
|
703 |
+
"loss": 0.8696,
|
704 |
+
"step": 1130
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 2.87,
|
708 |
+
"learning_rate": 9.375000000000001e-06,
|
709 |
+
"loss": 0.8796,
|
710 |
+
"step": 1140
|
711 |
+
},
|
712 |
+
{
|
713 |
+
"epoch": 2.89,
|
714 |
+
"learning_rate": 9.32904411764706e-06,
|
715 |
+
"loss": 0.8689,
|
716 |
+
"step": 1150
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 2.92,
|
720 |
+
"learning_rate": 9.28308823529412e-06,
|
721 |
+
"loss": 0.8763,
|
722 |
+
"step": 1160
|
723 |
+
},
|
724 |
+
{
|
725 |
+
"epoch": 2.94,
|
726 |
+
"learning_rate": 9.237132352941178e-06,
|
727 |
+
"loss": 0.8639,
|
728 |
+
"step": 1170
|
729 |
+
},
|
730 |
+
{
|
731 |
+
"epoch": 2.97,
|
732 |
+
"learning_rate": 9.191176470588236e-06,
|
733 |
+
"loss": 0.8658,
|
734 |
+
"step": 1180
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 2.99,
|
738 |
+
"learning_rate": 9.145220588235295e-06,
|
739 |
+
"loss": 0.8741,
|
740 |
+
"step": 1190
|
741 |
+
},
|
742 |
+
{
|
743 |
+
"epoch": 3.02,
|
744 |
+
"learning_rate": 9.099264705882353e-06,
|
745 |
+
"loss": 0.8233,
|
746 |
+
"step": 1200
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 3.05,
|
750 |
+
"learning_rate": 9.053308823529411e-06,
|
751 |
+
"loss": 0.8298,
|
752 |
+
"step": 1210
|
753 |
+
},
|
754 |
+
{
|
755 |
+
"epoch": 3.07,
|
756 |
+
"learning_rate": 9.007352941176471e-06,
|
757 |
+
"loss": 0.8378,
|
758 |
+
"step": 1220
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 3.1,
|
762 |
+
"learning_rate": 8.96139705882353e-06,
|
763 |
+
"loss": 0.8387,
|
764 |
+
"step": 1230
|
765 |
+
},
|
766 |
+
{
|
767 |
+
"epoch": 3.12,
|
768 |
+
"learning_rate": 8.91544117647059e-06,
|
769 |
+
"loss": 0.8277,
|
770 |
+
"step": 1240
|
771 |
+
},
|
772 |
+
{
|
773 |
+
"epoch": 3.15,
|
774 |
+
"learning_rate": 8.869485294117648e-06,
|
775 |
+
"loss": 0.8276,
|
776 |
+
"step": 1250
|
777 |
+
},
|
778 |
+
{
|
779 |
+
"epoch": 3.17,
|
780 |
+
"learning_rate": 8.823529411764707e-06,
|
781 |
+
"loss": 0.8398,
|
782 |
+
"step": 1260
|
783 |
+
},
|
784 |
+
{
|
785 |
+
"epoch": 3.2,
|
786 |
+
"learning_rate": 8.777573529411765e-06,
|
787 |
+
"loss": 0.8344,
|
788 |
+
"step": 1270
|
789 |
+
},
|
790 |
+
{
|
791 |
+
"epoch": 3.22,
|
792 |
+
"learning_rate": 8.731617647058824e-06,
|
793 |
+
"loss": 0.8274,
|
794 |
+
"step": 1280
|
795 |
+
},
|
796 |
+
{
|
797 |
+
"epoch": 3.25,
|
798 |
+
"learning_rate": 8.685661764705882e-06,
|
799 |
+
"loss": 0.8296,
|
800 |
+
"step": 1290
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 3.27,
|
804 |
+
"learning_rate": 8.639705882352942e-06,
|
805 |
+
"loss": 0.8286,
|
806 |
+
"step": 1300
|
807 |
+
},
|
808 |
+
{
|
809 |
+
"epoch": 3.3,
|
810 |
+
"learning_rate": 8.59375e-06,
|
811 |
+
"loss": 0.8342,
|
812 |
+
"step": 1310
|
813 |
+
},
|
814 |
+
{
|
815 |
+
"epoch": 3.32,
|
816 |
+
"learning_rate": 8.547794117647059e-06,
|
817 |
+
"loss": 0.8265,
|
818 |
+
"step": 1320
|
819 |
+
},
|
820 |
+
{
|
821 |
+
"epoch": 3.35,
|
822 |
+
"learning_rate": 8.501838235294119e-06,
|
823 |
+
"loss": 0.8284,
|
824 |
+
"step": 1330
|
825 |
+
},
|
826 |
+
{
|
827 |
+
"epoch": 3.37,
|
828 |
+
"learning_rate": 8.455882352941177e-06,
|
829 |
+
"loss": 0.8316,
|
830 |
+
"step": 1340
|
831 |
+
},
|
832 |
+
{
|
833 |
+
"epoch": 3.4,
|
834 |
+
"learning_rate": 8.409926470588236e-06,
|
835 |
+
"loss": 0.8145,
|
836 |
+
"step": 1350
|
837 |
+
},
|
838 |
+
{
|
839 |
+
"epoch": 3.42,
|
840 |
+
"learning_rate": 8.363970588235294e-06,
|
841 |
+
"loss": 0.8182,
|
842 |
+
"step": 1360
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 3.45,
|
846 |
+
"learning_rate": 8.318014705882354e-06,
|
847 |
+
"loss": 0.8239,
|
848 |
+
"step": 1370
|
849 |
+
},
|
850 |
+
{
|
851 |
+
"epoch": 3.47,
|
852 |
+
"learning_rate": 8.272058823529413e-06,
|
853 |
+
"loss": 0.8319,
|
854 |
+
"step": 1380
|
855 |
+
},
|
856 |
+
{
|
857 |
+
"epoch": 3.5,
|
858 |
+
"learning_rate": 8.226102941176471e-06,
|
859 |
+
"loss": 0.8332,
|
860 |
+
"step": 1390
|
861 |
+
},
|
862 |
+
{
|
863 |
+
"epoch": 3.52,
|
864 |
+
"learning_rate": 8.18014705882353e-06,
|
865 |
+
"loss": 0.8107,
|
866 |
+
"step": 1400
|
867 |
+
},
|
868 |
+
{
|
869 |
+
"epoch": 3.55,
|
870 |
+
"learning_rate": 8.13419117647059e-06,
|
871 |
+
"loss": 0.8289,
|
872 |
+
"step": 1410
|
873 |
+
},
|
874 |
+
{
|
875 |
+
"epoch": 3.57,
|
876 |
+
"learning_rate": 8.088235294117648e-06,
|
877 |
+
"loss": 0.8384,
|
878 |
+
"step": 1420
|
879 |
+
},
|
880 |
+
{
|
881 |
+
"epoch": 3.6,
|
882 |
+
"learning_rate": 8.042279411764706e-06,
|
883 |
+
"loss": 0.8264,
|
884 |
+
"step": 1430
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 3.62,
|
888 |
+
"learning_rate": 7.996323529411767e-06,
|
889 |
+
"loss": 0.8234,
|
890 |
+
"step": 1440
|
891 |
+
},
|
892 |
+
{
|
893 |
+
"epoch": 3.65,
|
894 |
+
"learning_rate": 7.950367647058825e-06,
|
895 |
+
"loss": 0.8188,
|
896 |
+
"step": 1450
|
897 |
+
},
|
898 |
+
{
|
899 |
+
"epoch": 3.67,
|
900 |
+
"learning_rate": 7.904411764705883e-06,
|
901 |
+
"loss": 0.8393,
|
902 |
+
"step": 1460
|
903 |
+
},
|
904 |
+
{
|
905 |
+
"epoch": 3.7,
|
906 |
+
"learning_rate": 7.858455882352942e-06,
|
907 |
+
"loss": 0.8183,
|
908 |
+
"step": 1470
|
909 |
+
},
|
910 |
+
{
|
911 |
+
"epoch": 3.72,
|
912 |
+
"learning_rate": 7.8125e-06,
|
913 |
+
"loss": 0.8543,
|
914 |
+
"step": 1480
|
915 |
+
},
|
916 |
+
{
|
917 |
+
"epoch": 3.75,
|
918 |
+
"learning_rate": 7.766544117647059e-06,
|
919 |
+
"loss": 0.8216,
|
920 |
+
"step": 1490
|
921 |
+
},
|
922 |
+
{
|
923 |
+
"epoch": 3.78,
|
924 |
+
"learning_rate": 7.720588235294119e-06,
|
925 |
+
"loss": 0.8392,
|
926 |
+
"step": 1500
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 3.78,
|
930 |
+
"eval_code_evol_accuracy": 0.7596694994310552,
|
931 |
+
"eval_code_evol_loss": 0.90087890625,
|
932 |
+
"eval_code_evol_runtime": 10.7536,
|
933 |
+
"eval_code_evol_samples_per_second": 71.697,
|
934 |
+
"eval_code_evol_steps_per_second": 9.02,
|
935 |
+
"step": 1500
|
936 |
+
},
|
937 |
+
{
|
938 |
+
"epoch": 3.8,
|
939 |
+
"learning_rate": 7.674632352941177e-06,
|
940 |
+
"loss": 0.8201,
|
941 |
+
"step": 1510
|
942 |
+
},
|
943 |
+
{
|
944 |
+
"epoch": 3.83,
|
945 |
+
"learning_rate": 7.6286764705882355e-06,
|
946 |
+
"loss": 0.8245,
|
947 |
+
"step": 1520
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 3.85,
|
951 |
+
"learning_rate": 7.582720588235295e-06,
|
952 |
+
"loss": 0.832,
|
953 |
+
"step": 1530
|
954 |
+
},
|
955 |
+
{
|
956 |
+
"epoch": 3.88,
|
957 |
+
"learning_rate": 7.536764705882353e-06,
|
958 |
+
"loss": 0.8208,
|
959 |
+
"step": 1540
|
960 |
+
},
|
961 |
+
{
|
962 |
+
"epoch": 3.9,
|
963 |
+
"learning_rate": 7.4908088235294115e-06,
|
964 |
+
"loss": 0.8362,
|
965 |
+
"step": 1550
|
966 |
+
},
|
967 |
+
{
|
968 |
+
"epoch": 3.93,
|
969 |
+
"learning_rate": 7.444852941176472e-06,
|
970 |
+
"loss": 0.8405,
|
971 |
+
"step": 1560
|
972 |
+
},
|
973 |
+
{
|
974 |
+
"epoch": 3.95,
|
975 |
+
"learning_rate": 7.39889705882353e-06,
|
976 |
+
"loss": 0.8319,
|
977 |
+
"step": 1570
|
978 |
+
},
|
979 |
+
{
|
980 |
+
"epoch": 3.98,
|
981 |
+
"learning_rate": 7.352941176470589e-06,
|
982 |
+
"loss": 0.8327,
|
983 |
+
"step": 1580
|
984 |
+
},
|
985 |
+
{
|
986 |
+
"epoch": 4.0,
|
987 |
+
"learning_rate": 7.306985294117648e-06,
|
988 |
+
"loss": 0.8244,
|
989 |
+
"step": 1590
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 4.03,
|
993 |
+
"learning_rate": 7.261029411764706e-06,
|
994 |
+
"loss": 0.7933,
|
995 |
+
"step": 1600
|
996 |
+
},
|
997 |
+
{
|
998 |
+
"epoch": 4.05,
|
999 |
+
"learning_rate": 7.215073529411765e-06,
|
1000 |
+
"loss": 0.7896,
|
1001 |
+
"step": 1610
|
1002 |
+
},
|
1003 |
+
{
|
1004 |
+
"epoch": 4.08,
|
1005 |
+
"learning_rate": 7.169117647058825e-06,
|
1006 |
+
"loss": 0.7918,
|
1007 |
+
"step": 1620
|
1008 |
+
},
|
1009 |
+
{
|
1010 |
+
"epoch": 4.1,
|
1011 |
+
"learning_rate": 7.123161764705883e-06,
|
1012 |
+
"loss": 0.7935,
|
1013 |
+
"step": 1630
|
1014 |
+
},
|
1015 |
+
{
|
1016 |
+
"epoch": 4.13,
|
1017 |
+
"learning_rate": 7.077205882352942e-06,
|
1018 |
+
"loss": 0.7995,
|
1019 |
+
"step": 1640
|
1020 |
+
},
|
1021 |
+
{
|
1022 |
+
"epoch": 4.15,
|
1023 |
+
"learning_rate": 7.031250000000001e-06,
|
1024 |
+
"loss": 0.8056,
|
1025 |
+
"step": 1650
|
1026 |
+
},
|
1027 |
+
{
|
1028 |
+
"epoch": 4.18,
|
1029 |
+
"learning_rate": 6.985294117647059e-06,
|
1030 |
+
"loss": 0.798,
|
1031 |
+
"step": 1660
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 4.2,
|
1035 |
+
"learning_rate": 6.939338235294118e-06,
|
1036 |
+
"loss": 0.7755,
|
1037 |
+
"step": 1670
|
1038 |
+
},
|
1039 |
+
{
|
1040 |
+
"epoch": 4.23,
|
1041 |
+
"learning_rate": 6.893382352941177e-06,
|
1042 |
+
"loss": 0.7891,
|
1043 |
+
"step": 1680
|
1044 |
+
},
|
1045 |
+
{
|
1046 |
+
"epoch": 4.25,
|
1047 |
+
"learning_rate": 6.847426470588235e-06,
|
1048 |
+
"loss": 0.7904,
|
1049 |
+
"step": 1690
|
1050 |
+
},
|
1051 |
+
{
|
1052 |
+
"epoch": 4.28,
|
1053 |
+
"learning_rate": 6.801470588235295e-06,
|
1054 |
+
"loss": 0.8003,
|
1055 |
+
"step": 1700
|
1056 |
+
},
|
1057 |
+
{
|
1058 |
+
"epoch": 4.3,
|
1059 |
+
"learning_rate": 6.755514705882354e-06,
|
1060 |
+
"loss": 0.7922,
|
1061 |
+
"step": 1710
|
1062 |
+
},
|
1063 |
+
{
|
1064 |
+
"epoch": 4.33,
|
1065 |
+
"learning_rate": 6.709558823529412e-06,
|
1066 |
+
"loss": 0.7832,
|
1067 |
+
"step": 1720
|
1068 |
+
},
|
1069 |
+
{
|
1070 |
+
"epoch": 4.35,
|
1071 |
+
"learning_rate": 6.663602941176471e-06,
|
1072 |
+
"loss": 0.7901,
|
1073 |
+
"step": 1730
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 4.38,
|
1077 |
+
"learning_rate": 6.61764705882353e-06,
|
1078 |
+
"loss": 0.8005,
|
1079 |
+
"step": 1740
|
1080 |
+
},
|
1081 |
+
{
|
1082 |
+
"epoch": 4.4,
|
1083 |
+
"learning_rate": 6.571691176470589e-06,
|
1084 |
+
"loss": 0.7988,
|
1085 |
+
"step": 1750
|
1086 |
+
},
|
1087 |
+
{
|
1088 |
+
"epoch": 4.43,
|
1089 |
+
"learning_rate": 6.525735294117647e-06,
|
1090 |
+
"loss": 0.7879,
|
1091 |
+
"step": 1760
|
1092 |
+
},
|
1093 |
+
{
|
1094 |
+
"epoch": 4.45,
|
1095 |
+
"learning_rate": 6.479779411764706e-06,
|
1096 |
+
"loss": 0.8045,
|
1097 |
+
"step": 1770
|
1098 |
+
},
|
1099 |
+
{
|
1100 |
+
"epoch": 4.48,
|
1101 |
+
"learning_rate": 6.433823529411766e-06,
|
1102 |
+
"loss": 0.8042,
|
1103 |
+
"step": 1780
|
1104 |
+
},
|
1105 |
+
{
|
1106 |
+
"epoch": 4.51,
|
1107 |
+
"learning_rate": 6.387867647058824e-06,
|
1108 |
+
"loss": 0.7951,
|
1109 |
+
"step": 1790
|
1110 |
+
},
|
1111 |
+
{
|
1112 |
+
"epoch": 4.53,
|
1113 |
+
"learning_rate": 6.341911764705883e-06,
|
1114 |
+
"loss": 0.7858,
|
1115 |
+
"step": 1800
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 4.56,
|
1119 |
+
"learning_rate": 6.295955882352942e-06,
|
1120 |
+
"loss": 0.8009,
|
1121 |
+
"step": 1810
|
1122 |
+
},
|
1123 |
+
{
|
1124 |
+
"epoch": 4.58,
|
1125 |
+
"learning_rate": 6.25e-06,
|
1126 |
+
"loss": 0.8055,
|
1127 |
+
"step": 1820
|
1128 |
+
},
|
1129 |
+
{
|
1130 |
+
"epoch": 4.61,
|
1131 |
+
"learning_rate": 6.204044117647059e-06,
|
1132 |
+
"loss": 0.8041,
|
1133 |
+
"step": 1830
|
1134 |
+
},
|
1135 |
+
{
|
1136 |
+
"epoch": 4.63,
|
1137 |
+
"learning_rate": 6.158088235294119e-06,
|
1138 |
+
"loss": 0.7989,
|
1139 |
+
"step": 1840
|
1140 |
+
},
|
1141 |
+
{
|
1142 |
+
"epoch": 4.66,
|
1143 |
+
"learning_rate": 6.112132352941177e-06,
|
1144 |
+
"loss": 0.8029,
|
1145 |
+
"step": 1850
|
1146 |
+
},
|
1147 |
+
{
|
1148 |
+
"epoch": 4.68,
|
1149 |
+
"learning_rate": 6.066176470588236e-06,
|
1150 |
+
"loss": 0.8021,
|
1151 |
+
"step": 1860
|
1152 |
+
},
|
1153 |
+
{
|
1154 |
+
"epoch": 4.71,
|
1155 |
+
"learning_rate": 6.020220588235295e-06,
|
1156 |
+
"loss": 0.8085,
|
1157 |
+
"step": 1870
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 4.73,
|
1161 |
+
"learning_rate": 5.974264705882353e-06,
|
1162 |
+
"loss": 0.7904,
|
1163 |
+
"step": 1880
|
1164 |
+
},
|
1165 |
+
{
|
1166 |
+
"epoch": 4.76,
|
1167 |
+
"learning_rate": 5.928308823529412e-06,
|
1168 |
+
"loss": 0.8014,
|
1169 |
+
"step": 1890
|
1170 |
+
},
|
1171 |
+
{
|
1172 |
+
"epoch": 4.78,
|
1173 |
+
"learning_rate": 5.882352941176471e-06,
|
1174 |
+
"loss": 0.8114,
|
1175 |
+
"step": 1900
|
1176 |
+
},
|
1177 |
+
{
|
1178 |
+
"epoch": 4.81,
|
1179 |
+
"learning_rate": 5.836397058823529e-06,
|
1180 |
+
"loss": 0.8067,
|
1181 |
+
"step": 1910
|
1182 |
+
},
|
1183 |
+
{
|
1184 |
+
"epoch": 4.83,
|
1185 |
+
"learning_rate": 5.790441176470589e-06,
|
1186 |
+
"loss": 0.7983,
|
1187 |
+
"step": 1920
|
1188 |
+
},
|
1189 |
+
{
|
1190 |
+
"epoch": 4.86,
|
1191 |
+
"learning_rate": 5.744485294117648e-06,
|
1192 |
+
"loss": 0.7998,
|
1193 |
+
"step": 1930
|
1194 |
+
},
|
1195 |
+
{
|
1196 |
+
"epoch": 4.88,
|
1197 |
+
"learning_rate": 5.698529411764706e-06,
|
1198 |
+
"loss": 0.7973,
|
1199 |
+
"step": 1940
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 4.91,
|
1203 |
+
"learning_rate": 5.6525735294117655e-06,
|
1204 |
+
"loss": 0.8186,
|
1205 |
+
"step": 1950
|
1206 |
+
},
|
1207 |
+
{
|
1208 |
+
"epoch": 4.93,
|
1209 |
+
"learning_rate": 5.606617647058824e-06,
|
1210 |
+
"loss": 0.7907,
|
1211 |
+
"step": 1960
|
1212 |
+
},
|
1213 |
+
{
|
1214 |
+
"epoch": 4.96,
|
1215 |
+
"learning_rate": 5.560661764705882e-06,
|
1216 |
+
"loss": 0.8019,
|
1217 |
+
"step": 1970
|
1218 |
+
},
|
1219 |
+
{
|
1220 |
+
"epoch": 4.98,
|
1221 |
+
"learning_rate": 5.514705882352942e-06,
|
1222 |
+
"loss": 0.8082,
|
1223 |
+
"step": 1980
|
1224 |
+
},
|
1225 |
+
{
|
1226 |
+
"epoch": 5.01,
|
1227 |
+
"learning_rate": 5.468750000000001e-06,
|
1228 |
+
"loss": 0.7778,
|
1229 |
+
"step": 1990
|
1230 |
+
},
|
1231 |
+
{
|
1232 |
+
"epoch": 5.03,
|
1233 |
+
"learning_rate": 5.422794117647059e-06,
|
1234 |
+
"loss": 0.775,
|
1235 |
+
"step": 2000
|
1236 |
+
},
|
1237 |
+
{
|
1238 |
+
"epoch": 5.03,
|
1239 |
+
"eval_code_evol_accuracy": 0.7592867857862886,
|
1240 |
+
"eval_code_evol_loss": 0.904296875,
|
1241 |
+
"eval_code_evol_runtime": 11.4335,
|
1242 |
+
"eval_code_evol_samples_per_second": 67.433,
|
1243 |
+
"eval_code_evol_steps_per_second": 8.484,
|
1244 |
+
"step": 2000
|
1245 |
+
},
|
1246 |
+
{
|
1247 |
+
"epoch": 5.06,
|
1248 |
+
"learning_rate": 5.3768382352941184e-06,
|
1249 |
+
"loss": 0.765,
|
1250 |
+
"step": 2010
|
1251 |
+
},
|
1252 |
+
{
|
1253 |
+
"epoch": 5.08,
|
1254 |
+
"learning_rate": 5.330882352941177e-06,
|
1255 |
+
"loss": 0.7735,
|
1256 |
+
"step": 2020
|
1257 |
+
},
|
1258 |
+
{
|
1259 |
+
"epoch": 5.11,
|
1260 |
+
"learning_rate": 5.284926470588235e-06,
|
1261 |
+
"loss": 0.76,
|
1262 |
+
"step": 2030
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 5.13,
|
1266 |
+
"learning_rate": 5.2389705882352945e-06,
|
1267 |
+
"loss": 0.7769,
|
1268 |
+
"step": 2040
|
1269 |
+
},
|
1270 |
+
{
|
1271 |
+
"epoch": 5.16,
|
1272 |
+
"learning_rate": 5.193014705882353e-06,
|
1273 |
+
"loss": 0.7735,
|
1274 |
+
"step": 2050
|
1275 |
+
},
|
1276 |
+
{
|
1277 |
+
"epoch": 5.18,
|
1278 |
+
"learning_rate": 5.147058823529411e-06,
|
1279 |
+
"loss": 0.7655,
|
1280 |
+
"step": 2060
|
1281 |
+
},
|
1282 |
+
{
|
1283 |
+
"epoch": 5.21,
|
1284 |
+
"learning_rate": 5.101102941176471e-06,
|
1285 |
+
"loss": 0.7742,
|
1286 |
+
"step": 2070
|
1287 |
+
},
|
1288 |
+
{
|
1289 |
+
"epoch": 5.23,
|
1290 |
+
"learning_rate": 5.05514705882353e-06,
|
1291 |
+
"loss": 0.7749,
|
1292 |
+
"step": 2080
|
1293 |
+
},
|
1294 |
+
{
|
1295 |
+
"epoch": 5.26,
|
1296 |
+
"learning_rate": 5.009191176470589e-06,
|
1297 |
+
"loss": 0.782,
|
1298 |
+
"step": 2090
|
1299 |
+
},
|
1300 |
+
{
|
1301 |
+
"epoch": 5.29,
|
1302 |
+
"learning_rate": 4.9632352941176475e-06,
|
1303 |
+
"loss": 0.7806,
|
1304 |
+
"step": 2100
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 5.31,
|
1308 |
+
"learning_rate": 4.917279411764706e-06,
|
1309 |
+
"loss": 0.7796,
|
1310 |
+
"step": 2110
|
1311 |
+
},
|
1312 |
+
{
|
1313 |
+
"epoch": 5.34,
|
1314 |
+
"learning_rate": 4.871323529411765e-06,
|
1315 |
+
"loss": 0.7685,
|
1316 |
+
"step": 2120
|
1317 |
+
},
|
1318 |
+
{
|
1319 |
+
"epoch": 5.36,
|
1320 |
+
"learning_rate": 4.825367647058824e-06,
|
1321 |
+
"loss": 0.7681,
|
1322 |
+
"step": 2130
|
1323 |
+
},
|
1324 |
+
{
|
1325 |
+
"epoch": 5.39,
|
1326 |
+
"learning_rate": 4.779411764705883e-06,
|
1327 |
+
"loss": 0.7729,
|
1328 |
+
"step": 2140
|
1329 |
+
},
|
1330 |
+
{
|
1331 |
+
"epoch": 5.41,
|
1332 |
+
"learning_rate": 4.733455882352941e-06,
|
1333 |
+
"loss": 0.7634,
|
1334 |
+
"step": 2150
|
1335 |
+
},
|
1336 |
+
{
|
1337 |
+
"epoch": 5.44,
|
1338 |
+
"learning_rate": 4.6875000000000004e-06,
|
1339 |
+
"loss": 0.7732,
|
1340 |
+
"step": 2160
|
1341 |
+
},
|
1342 |
+
{
|
1343 |
+
"epoch": 5.46,
|
1344 |
+
"learning_rate": 4.64154411764706e-06,
|
1345 |
+
"loss": 0.7703,
|
1346 |
+
"step": 2170
|
1347 |
+
},
|
1348 |
+
{
|
1349 |
+
"epoch": 5.49,
|
1350 |
+
"learning_rate": 4.595588235294118e-06,
|
1351 |
+
"loss": 0.7815,
|
1352 |
+
"step": 2180
|
1353 |
+
},
|
1354 |
+
{
|
1355 |
+
"epoch": 5.51,
|
1356 |
+
"learning_rate": 4.5496323529411765e-06,
|
1357 |
+
"loss": 0.7811,
|
1358 |
+
"step": 2190
|
1359 |
+
},
|
1360 |
+
{
|
1361 |
+
"epoch": 5.54,
|
1362 |
+
"learning_rate": 4.503676470588236e-06,
|
1363 |
+
"loss": 0.7702,
|
1364 |
+
"step": 2200
|
1365 |
+
},
|
1366 |
+
{
|
1367 |
+
"epoch": 5.56,
|
1368 |
+
"learning_rate": 4.457720588235295e-06,
|
1369 |
+
"loss": 0.7753,
|
1370 |
+
"step": 2210
|
1371 |
+
},
|
1372 |
+
{
|
1373 |
+
"epoch": 5.59,
|
1374 |
+
"learning_rate": 4.411764705882353e-06,
|
1375 |
+
"loss": 0.7751,
|
1376 |
+
"step": 2220
|
1377 |
+
},
|
1378 |
+
{
|
1379 |
+
"epoch": 5.61,
|
1380 |
+
"learning_rate": 4.365808823529412e-06,
|
1381 |
+
"loss": 0.7785,
|
1382 |
+
"step": 2230
|
1383 |
+
},
|
1384 |
+
{
|
1385 |
+
"epoch": 5.64,
|
1386 |
+
"learning_rate": 4.319852941176471e-06,
|
1387 |
+
"loss": 0.7793,
|
1388 |
+
"step": 2240
|
1389 |
+
},
|
1390 |
+
{
|
1391 |
+
"epoch": 5.66,
|
1392 |
+
"learning_rate": 4.2738970588235295e-06,
|
1393 |
+
"loss": 0.7861,
|
1394 |
+
"step": 2250
|
1395 |
+
},
|
1396 |
+
{
|
1397 |
+
"epoch": 5.69,
|
1398 |
+
"learning_rate": 4.227941176470589e-06,
|
1399 |
+
"loss": 0.7811,
|
1400 |
+
"step": 2260
|
1401 |
+
},
|
1402 |
+
{
|
1403 |
+
"epoch": 5.71,
|
1404 |
+
"learning_rate": 4.181985294117647e-06,
|
1405 |
+
"loss": 0.7728,
|
1406 |
+
"step": 2270
|
1407 |
+
},
|
1408 |
+
{
|
1409 |
+
"epoch": 5.74,
|
1410 |
+
"learning_rate": 4.136029411764706e-06,
|
1411 |
+
"loss": 0.7803,
|
1412 |
+
"step": 2280
|
1413 |
+
},
|
1414 |
+
{
|
1415 |
+
"epoch": 5.76,
|
1416 |
+
"learning_rate": 4.090073529411765e-06,
|
1417 |
+
"loss": 0.7672,
|
1418 |
+
"step": 2290
|
1419 |
+
},
|
1420 |
+
{
|
1421 |
+
"epoch": 5.79,
|
1422 |
+
"learning_rate": 4.044117647058824e-06,
|
1423 |
+
"loss": 0.7781,
|
1424 |
+
"step": 2300
|
1425 |
+
},
|
1426 |
+
{
|
1427 |
+
"epoch": 5.81,
|
1428 |
+
"learning_rate": 3.998161764705883e-06,
|
1429 |
+
"loss": 0.7861,
|
1430 |
+
"step": 2310
|
1431 |
+
},
|
1432 |
+
{
|
1433 |
+
"epoch": 5.84,
|
1434 |
+
"learning_rate": 3.952205882352942e-06,
|
1435 |
+
"loss": 0.7833,
|
1436 |
+
"step": 2320
|
1437 |
+
},
|
1438 |
+
{
|
1439 |
+
"epoch": 5.86,
|
1440 |
+
"learning_rate": 3.90625e-06,
|
1441 |
+
"loss": 0.7852,
|
1442 |
+
"step": 2330
|
1443 |
+
},
|
1444 |
+
{
|
1445 |
+
"epoch": 5.89,
|
1446 |
+
"learning_rate": 3.860294117647059e-06,
|
1447 |
+
"loss": 0.7662,
|
1448 |
+
"step": 2340
|
1449 |
+
},
|
1450 |
+
{
|
1451 |
+
"epoch": 5.91,
|
1452 |
+
"learning_rate": 3.8143382352941177e-06,
|
1453 |
+
"loss": 0.7777,
|
1454 |
+
"step": 2350
|
1455 |
+
},
|
1456 |
+
{
|
1457 |
+
"epoch": 5.94,
|
1458 |
+
"learning_rate": 3.7683823529411766e-06,
|
1459 |
+
"loss": 0.7646,
|
1460 |
+
"step": 2360
|
1461 |
+
},
|
1462 |
+
{
|
1463 |
+
"epoch": 5.96,
|
1464 |
+
"learning_rate": 3.722426470588236e-06,
|
1465 |
+
"loss": 0.7703,
|
1466 |
+
"step": 2370
|
1467 |
+
},
|
1468 |
+
{
|
1469 |
+
"epoch": 5.99,
|
1470 |
+
"learning_rate": 3.6764705882352946e-06,
|
1471 |
+
"loss": 0.7803,
|
1472 |
+
"step": 2380
|
1473 |
+
},
|
1474 |
+
{
|
1475 |
+
"epoch": 6.02,
|
1476 |
+
"learning_rate": 3.630514705882353e-06,
|
1477 |
+
"loss": 0.7677,
|
1478 |
+
"step": 2390
|
1479 |
+
},
|
1480 |
+
{
|
1481 |
+
"epoch": 6.04,
|
1482 |
+
"learning_rate": 3.5845588235294123e-06,
|
1483 |
+
"loss": 0.747,
|
1484 |
+
"step": 2400
|
1485 |
+
},
|
1486 |
+
{
|
1487 |
+
"epoch": 6.07,
|
1488 |
+
"learning_rate": 3.538602941176471e-06,
|
1489 |
+
"loss": 0.753,
|
1490 |
+
"step": 2410
|
1491 |
+
},
|
1492 |
+
{
|
1493 |
+
"epoch": 6.09,
|
1494 |
+
"learning_rate": 3.4926470588235295e-06,
|
1495 |
+
"loss": 0.7575,
|
1496 |
+
"step": 2420
|
1497 |
+
},
|
1498 |
+
{
|
1499 |
+
"epoch": 6.12,
|
1500 |
+
"learning_rate": 3.4466911764705884e-06,
|
1501 |
+
"loss": 0.7409,
|
1502 |
+
"step": 2430
|
1503 |
+
},
|
1504 |
+
{
|
1505 |
+
"epoch": 6.14,
|
1506 |
+
"learning_rate": 3.4007352941176476e-06,
|
1507 |
+
"loss": 0.7591,
|
1508 |
+
"step": 2440
|
1509 |
+
},
|
1510 |
+
{
|
1511 |
+
"epoch": 6.17,
|
1512 |
+
"learning_rate": 3.354779411764706e-06,
|
1513 |
+
"loss": 0.7659,
|
1514 |
+
"step": 2450
|
1515 |
+
},
|
1516 |
+
{
|
1517 |
+
"epoch": 6.19,
|
1518 |
+
"learning_rate": 3.308823529411765e-06,
|
1519 |
+
"loss": 0.7479,
|
1520 |
+
"step": 2460
|
1521 |
+
},
|
1522 |
+
{
|
1523 |
+
"epoch": 6.22,
|
1524 |
+
"learning_rate": 3.2628676470588237e-06,
|
1525 |
+
"loss": 0.7453,
|
1526 |
+
"step": 2470
|
1527 |
+
},
|
1528 |
+
{
|
1529 |
+
"epoch": 6.24,
|
1530 |
+
"learning_rate": 3.216911764705883e-06,
|
1531 |
+
"loss": 0.752,
|
1532 |
+
"step": 2480
|
1533 |
+
},
|
1534 |
+
{
|
1535 |
+
"epoch": 6.27,
|
1536 |
+
"learning_rate": 3.1709558823529413e-06,
|
1537 |
+
"loss": 0.7508,
|
1538 |
+
"step": 2490
|
1539 |
+
},
|
1540 |
+
{
|
1541 |
+
"epoch": 6.29,
|
1542 |
+
"learning_rate": 3.125e-06,
|
1543 |
+
"loss": 0.7585,
|
1544 |
+
"step": 2500
|
1545 |
+
},
|
1546 |
+
{
|
1547 |
+
"epoch": 6.29,
|
1548 |
+
"eval_code_evol_accuracy": 0.7601342231425574,
|
1549 |
+
"eval_code_evol_loss": 0.90576171875,
|
1550 |
+
"eval_code_evol_runtime": 11.4001,
|
1551 |
+
"eval_code_evol_samples_per_second": 67.631,
|
1552 |
+
"eval_code_evol_steps_per_second": 8.509,
|
1553 |
+
"step": 2500
|
1554 |
+
},
|
1555 |
+
{
|
1556 |
+
"epoch": 6.32,
|
1557 |
+
"learning_rate": 3.0790441176470594e-06,
|
1558 |
+
"loss": 0.7617,
|
1559 |
+
"step": 2510
|
1560 |
+
},
|
1561 |
+
{
|
1562 |
+
"epoch": 6.34,
|
1563 |
+
"learning_rate": 3.033088235294118e-06,
|
1564 |
+
"loss": 0.7565,
|
1565 |
+
"step": 2520
|
1566 |
+
},
|
1567 |
+
{
|
1568 |
+
"epoch": 6.37,
|
1569 |
+
"learning_rate": 2.9871323529411766e-06,
|
1570 |
+
"loss": 0.7588,
|
1571 |
+
"step": 2530
|
1572 |
+
},
|
1573 |
+
{
|
1574 |
+
"epoch": 6.39,
|
1575 |
+
"learning_rate": 2.9411764705882355e-06,
|
1576 |
+
"loss": 0.7637,
|
1577 |
+
"step": 2540
|
1578 |
+
},
|
1579 |
+
{
|
1580 |
+
"epoch": 6.42,
|
1581 |
+
"learning_rate": 2.8952205882352947e-06,
|
1582 |
+
"loss": 0.7585,
|
1583 |
+
"step": 2550
|
1584 |
+
},
|
1585 |
+
{
|
1586 |
+
"epoch": 6.44,
|
1587 |
+
"learning_rate": 2.849264705882353e-06,
|
1588 |
+
"loss": 0.77,
|
1589 |
+
"step": 2560
|
1590 |
+
},
|
1591 |
+
{
|
1592 |
+
"epoch": 6.47,
|
1593 |
+
"learning_rate": 2.803308823529412e-06,
|
1594 |
+
"loss": 0.7599,
|
1595 |
+
"step": 2570
|
1596 |
+
},
|
1597 |
+
{
|
1598 |
+
"epoch": 6.49,
|
1599 |
+
"learning_rate": 2.757352941176471e-06,
|
1600 |
+
"loss": 0.7527,
|
1601 |
+
"step": 2580
|
1602 |
+
},
|
1603 |
+
{
|
1604 |
+
"epoch": 6.52,
|
1605 |
+
"learning_rate": 2.7113970588235296e-06,
|
1606 |
+
"loss": 0.7476,
|
1607 |
+
"step": 2590
|
1608 |
+
},
|
1609 |
+
{
|
1610 |
+
"epoch": 6.54,
|
1611 |
+
"learning_rate": 2.6654411764705884e-06,
|
1612 |
+
"loss": 0.7531,
|
1613 |
+
"step": 2600
|
1614 |
+
},
|
1615 |
+
{
|
1616 |
+
"epoch": 6.57,
|
1617 |
+
"learning_rate": 2.6194852941176473e-06,
|
1618 |
+
"loss": 0.7595,
|
1619 |
+
"step": 2610
|
1620 |
+
},
|
1621 |
+
{
|
1622 |
+
"epoch": 6.59,
|
1623 |
+
"learning_rate": 2.5735294117647057e-06,
|
1624 |
+
"loss": 0.7596,
|
1625 |
+
"step": 2620
|
1626 |
+
},
|
1627 |
+
{
|
1628 |
+
"epoch": 6.62,
|
1629 |
+
"learning_rate": 2.527573529411765e-06,
|
1630 |
+
"loss": 0.7578,
|
1631 |
+
"step": 2630
|
1632 |
+
},
|
1633 |
+
{
|
1634 |
+
"epoch": 6.64,
|
1635 |
+
"learning_rate": 2.4816176470588237e-06,
|
1636 |
+
"loss": 0.7661,
|
1637 |
+
"step": 2640
|
1638 |
+
},
|
1639 |
+
{
|
1640 |
+
"epoch": 6.67,
|
1641 |
+
"learning_rate": 2.4356617647058826e-06,
|
1642 |
+
"loss": 0.7527,
|
1643 |
+
"step": 2650
|
1644 |
+
},
|
1645 |
+
{
|
1646 |
+
"epoch": 6.69,
|
1647 |
+
"learning_rate": 2.3897058823529414e-06,
|
1648 |
+
"loss": 0.7614,
|
1649 |
+
"step": 2660
|
1650 |
+
},
|
1651 |
+
{
|
1652 |
+
"epoch": 6.72,
|
1653 |
+
"learning_rate": 2.3437500000000002e-06,
|
1654 |
+
"loss": 0.7637,
|
1655 |
+
"step": 2670
|
1656 |
+
},
|
1657 |
+
{
|
1658 |
+
"epoch": 6.74,
|
1659 |
+
"learning_rate": 2.297794117647059e-06,
|
1660 |
+
"loss": 0.7699,
|
1661 |
+
"step": 2680
|
1662 |
+
},
|
1663 |
+
{
|
1664 |
+
"epoch": 6.77,
|
1665 |
+
"learning_rate": 2.251838235294118e-06,
|
1666 |
+
"loss": 0.7465,
|
1667 |
+
"step": 2690
|
1668 |
+
},
|
1669 |
+
{
|
1670 |
+
"epoch": 6.8,
|
1671 |
+
"learning_rate": 2.2058823529411767e-06,
|
1672 |
+
"loss": 0.7528,
|
1673 |
+
"step": 2700
|
1674 |
+
},
|
1675 |
+
{
|
1676 |
+
"epoch": 6.82,
|
1677 |
+
"learning_rate": 2.1599264705882355e-06,
|
1678 |
+
"loss": 0.7604,
|
1679 |
+
"step": 2710
|
1680 |
+
},
|
1681 |
+
{
|
1682 |
+
"epoch": 6.85,
|
1683 |
+
"learning_rate": 2.1139705882352944e-06,
|
1684 |
+
"loss": 0.7535,
|
1685 |
+
"step": 2720
|
1686 |
+
},
|
1687 |
+
{
|
1688 |
+
"epoch": 6.87,
|
1689 |
+
"learning_rate": 2.068014705882353e-06,
|
1690 |
+
"loss": 0.7626,
|
1691 |
+
"step": 2730
|
1692 |
+
},
|
1693 |
+
{
|
1694 |
+
"epoch": 6.9,
|
1695 |
+
"learning_rate": 2.022058823529412e-06,
|
1696 |
+
"loss": 0.7517,
|
1697 |
+
"step": 2740
|
1698 |
+
},
|
1699 |
+
{
|
1700 |
+
"epoch": 6.92,
|
1701 |
+
"learning_rate": 1.976102941176471e-06,
|
1702 |
+
"loss": 0.7618,
|
1703 |
+
"step": 2750
|
1704 |
+
},
|
1705 |
+
{
|
1706 |
+
"epoch": 6.95,
|
1707 |
+
"learning_rate": 1.9301470588235297e-06,
|
1708 |
+
"loss": 0.7545,
|
1709 |
+
"step": 2760
|
1710 |
+
},
|
1711 |
+
{
|
1712 |
+
"epoch": 6.97,
|
1713 |
+
"learning_rate": 1.8841911764705883e-06,
|
1714 |
+
"loss": 0.7725,
|
1715 |
+
"step": 2770
|
1716 |
+
},
|
1717 |
+
{
|
1718 |
+
"epoch": 7.0,
|
1719 |
+
"learning_rate": 1.8382352941176473e-06,
|
1720 |
+
"loss": 0.7489,
|
1721 |
+
"step": 2780
|
1722 |
+
},
|
1723 |
+
{
|
1724 |
+
"epoch": 7.02,
|
1725 |
+
"learning_rate": 1.7922794117647061e-06,
|
1726 |
+
"loss": 0.7553,
|
1727 |
+
"step": 2790
|
1728 |
+
},
|
1729 |
+
{
|
1730 |
+
"epoch": 7.05,
|
1731 |
+
"learning_rate": 1.7463235294117648e-06,
|
1732 |
+
"loss": 0.753,
|
1733 |
+
"step": 2800
|
1734 |
+
},
|
1735 |
+
{
|
1736 |
+
"epoch": 7.07,
|
1737 |
+
"learning_rate": 1.7003676470588238e-06,
|
1738 |
+
"loss": 0.7504,
|
1739 |
+
"step": 2810
|
1740 |
+
},
|
1741 |
+
{
|
1742 |
+
"epoch": 7.1,
|
1743 |
+
"learning_rate": 1.6544117647058824e-06,
|
1744 |
+
"loss": 0.751,
|
1745 |
+
"step": 2820
|
1746 |
+
},
|
1747 |
+
{
|
1748 |
+
"epoch": 7.12,
|
1749 |
+
"learning_rate": 1.6084558823529415e-06,
|
1750 |
+
"loss": 0.7473,
|
1751 |
+
"step": 2830
|
1752 |
+
},
|
1753 |
+
{
|
1754 |
+
"epoch": 7.15,
|
1755 |
+
"learning_rate": 1.5625e-06,
|
1756 |
+
"loss": 0.7398,
|
1757 |
+
"step": 2840
|
1758 |
+
},
|
1759 |
+
{
|
1760 |
+
"epoch": 7.17,
|
1761 |
+
"learning_rate": 1.516544117647059e-06,
|
1762 |
+
"loss": 0.7412,
|
1763 |
+
"step": 2850
|
1764 |
+
},
|
1765 |
+
{
|
1766 |
+
"epoch": 7.2,
|
1767 |
+
"learning_rate": 1.4705882352941177e-06,
|
1768 |
+
"loss": 0.7465,
|
1769 |
+
"step": 2860
|
1770 |
+
},
|
1771 |
+
{
|
1772 |
+
"epoch": 7.22,
|
1773 |
+
"learning_rate": 1.4246323529411766e-06,
|
1774 |
+
"loss": 0.7315,
|
1775 |
+
"step": 2870
|
1776 |
+
},
|
1777 |
+
{
|
1778 |
+
"epoch": 7.25,
|
1779 |
+
"learning_rate": 1.3786764705882356e-06,
|
1780 |
+
"loss": 0.7316,
|
1781 |
+
"step": 2880
|
1782 |
+
},
|
1783 |
+
{
|
1784 |
+
"epoch": 7.27,
|
1785 |
+
"learning_rate": 1.3327205882352942e-06,
|
1786 |
+
"loss": 0.7457,
|
1787 |
+
"step": 2890
|
1788 |
+
},
|
1789 |
+
{
|
1790 |
+
"epoch": 7.3,
|
1791 |
+
"learning_rate": 1.2867647058823528e-06,
|
1792 |
+
"loss": 0.7397,
|
1793 |
+
"step": 2900
|
1794 |
+
},
|
1795 |
+
{
|
1796 |
+
"epoch": 7.32,
|
1797 |
+
"learning_rate": 1.2408088235294119e-06,
|
1798 |
+
"loss": 0.7498,
|
1799 |
+
"step": 2910
|
1800 |
+
},
|
1801 |
+
{
|
1802 |
+
"epoch": 7.35,
|
1803 |
+
"learning_rate": 1.1948529411764707e-06,
|
1804 |
+
"loss": 0.7477,
|
1805 |
+
"step": 2920
|
1806 |
+
},
|
1807 |
+
{
|
1808 |
+
"epoch": 7.37,
|
1809 |
+
"learning_rate": 1.1488970588235295e-06,
|
1810 |
+
"loss": 0.7433,
|
1811 |
+
"step": 2930
|
1812 |
+
},
|
1813 |
+
{
|
1814 |
+
"epoch": 7.4,
|
1815 |
+
"learning_rate": 1.1029411764705884e-06,
|
1816 |
+
"loss": 0.743,
|
1817 |
+
"step": 2940
|
1818 |
+
},
|
1819 |
+
{
|
1820 |
+
"epoch": 7.42,
|
1821 |
+
"learning_rate": 1.0569852941176472e-06,
|
1822 |
+
"loss": 0.7393,
|
1823 |
+
"step": 2950
|
1824 |
+
},
|
1825 |
+
{
|
1826 |
+
"epoch": 7.45,
|
1827 |
+
"learning_rate": 1.011029411764706e-06,
|
1828 |
+
"loss": 0.7483,
|
1829 |
+
"step": 2960
|
1830 |
+
},
|
1831 |
+
{
|
1832 |
+
"epoch": 7.47,
|
1833 |
+
"learning_rate": 9.650735294117648e-07,
|
1834 |
+
"loss": 0.7466,
|
1835 |
+
"step": 2970
|
1836 |
+
},
|
1837 |
+
{
|
1838 |
+
"epoch": 7.5,
|
1839 |
+
"learning_rate": 9.191176470588237e-07,
|
1840 |
+
"loss": 0.7509,
|
1841 |
+
"step": 2980
|
1842 |
+
},
|
1843 |
+
{
|
1844 |
+
"epoch": 7.53,
|
1845 |
+
"learning_rate": 8.731617647058824e-07,
|
1846 |
+
"loss": 0.7554,
|
1847 |
+
"step": 2990
|
1848 |
+
},
|
1849 |
+
{
|
1850 |
+
"epoch": 7.55,
|
1851 |
+
"learning_rate": 8.272058823529412e-07,
|
1852 |
+
"loss": 0.7326,
|
1853 |
+
"step": 3000
|
1854 |
+
},
|
1855 |
+
{
|
1856 |
+
"epoch": 7.55,
|
1857 |
+
"eval_code_evol_accuracy": 0.759983871353542,
|
1858 |
+
"eval_code_evol_loss": 0.90576171875,
|
1859 |
+
"eval_code_evol_runtime": 10.3923,
|
1860 |
+
"eval_code_evol_samples_per_second": 74.19,
|
1861 |
+
"eval_code_evol_steps_per_second": 9.334,
|
1862 |
+
"step": 3000
|
1863 |
+
}
|
1864 |
+
],
|
1865 |
+
"max_steps": 3176,
|
1866 |
+
"num_train_epochs": 8,
|
1867 |
+
"total_flos": 3.32565039055215e+18,
|
1868 |
+
"trial_name": null,
|
1869 |
+
"trial_params": null
|
1870 |
+
}
|
vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|