CognitiveScience
commited on
c3
Browse files- config.json +70 -0
- generation_config.json +7 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer_config.json +20 -0
- trainer_state.json +651 -0
- training_args.bin +3 -0
- vocab.json +0 -0
config.json
ADDED
@@ -0,0 +1,70 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "gpt2",
|
3 |
+
"activation_function": "leaky_relu",
|
4 |
+
"architectures": [
|
5 |
+
"GPT2LMHeadModel"
|
6 |
+
],
|
7 |
+
"attn_block_resid_gain": 1,
|
8 |
+
"attn_block_skip_gain": 1,
|
9 |
+
"attn_mat_resid_gain": 1,
|
10 |
+
"attn_mat_skip_gain": 0,
|
11 |
+
"attn_pdrop": 0,
|
12 |
+
"bos_token_id": 0,
|
13 |
+
"centre_attn": false,
|
14 |
+
"centre_attn_gain": 1.0,
|
15 |
+
"embd_pdrop": 0,
|
16 |
+
"eos_token_id": 0,
|
17 |
+
"first_layer_value_resid_gain": null,
|
18 |
+
"initializer_range": 0.02,
|
19 |
+
"key_init_std": null,
|
20 |
+
"last_layer_proj_resid_gain": null,
|
21 |
+
"layer_norm_epsilon": 1e-05,
|
22 |
+
"lrelu_neg_slope": 0,
|
23 |
+
"mlp_block_resid_gain": 1,
|
24 |
+
"mlp_block_skip_gain": 1,
|
25 |
+
"mlp_proj_init_std": false,
|
26 |
+
"model_type": "gpt2",
|
27 |
+
"n_ctx": 128,
|
28 |
+
"n_embd": 117,
|
29 |
+
"n_head": 9,
|
30 |
+
"n_inner": 468,
|
31 |
+
"n_layer": 12,
|
32 |
+
"n_positions": 1024,
|
33 |
+
"norm_position": "pre",
|
34 |
+
"norm_type": "rmsnorm",
|
35 |
+
"output_attentions": "false",
|
36 |
+
"parallel_layers": false,
|
37 |
+
"proj_init_type": "normal",
|
38 |
+
"proj_resid_gain": 1.0,
|
39 |
+
"proj_skip_gain": null,
|
40 |
+
"query_init_std": null,
|
41 |
+
"reorder_and_upcast_attn": false,
|
42 |
+
"resid_pdrop": 0,
|
43 |
+
"scale_attn_by_inverse_layer_idx": false,
|
44 |
+
"scale_attn_weights": true,
|
45 |
+
"summary_activation": null,
|
46 |
+
"summary_first_dropout": 0.1,
|
47 |
+
"summary_proj_to_labels": true,
|
48 |
+
"summary_type": "cls_index",
|
49 |
+
"summary_use_proj": true,
|
50 |
+
"task_specific_params": {
|
51 |
+
"text-generation": {
|
52 |
+
"do_sample": true,
|
53 |
+
"max_length": 50
|
54 |
+
}
|
55 |
+
},
|
56 |
+
"tie_valproj_init": null,
|
57 |
+
"torch_dtype": "float32",
|
58 |
+
"trainable_attn_block_gains": false,
|
59 |
+
"trainable_attn_mat_gains": false,
|
60 |
+
"trainable_mlp_block_gains": false,
|
61 |
+
"trainable_proj_gains": false,
|
62 |
+
"trainable_value_gains": false,
|
63 |
+
"transformers_version": "4.38.1",
|
64 |
+
"use_cache": true,
|
65 |
+
"val_init_type": "normal",
|
66 |
+
"val_proj_init_std": null,
|
67 |
+
"value_resid_gain": 1,
|
68 |
+
"value_skip_gain": 0,
|
69 |
+
"vocab_size": 50000
|
70 |
+
}
|
generation_config.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"bos_token_id": 0,
|
4 |
+
"eos_token_id": 0,
|
5 |
+
"output_attentions": "false",
|
6 |
+
"transformers_version": "4.38.1"
|
7 |
+
}
|
merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a9ae76f9027e186f775f3e7b2ec3d8e7d932aec4db025f0b3bf4cc3ee2d9bc09
|
3 |
+
size 31854136
|
optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c1e3b3ed8755dc8255367b3729206f73c8a274cd36c62868d1a1951b6c2a6773
|
3 |
+
size 63654074
|
rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:51fbb656db90359360bf0f30e9bfe6384141ed3c5d5b9e95ccb660b0f4a33dea
|
3 |
+
size 14244
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9ef14ddcfd22ab488bed70e198ffa875ca0f31ed0bacd8dca3390eeaf6c7fd9d
|
3 |
+
size 1064
|
special_tokens_map.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<|endoftext|>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "<|endoftext|>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": "<|endoftext|>",
|
17 |
+
"unk_token": {
|
18 |
+
"content": "<|endoftext|>",
|
19 |
+
"lstrip": false,
|
20 |
+
"normalized": false,
|
21 |
+
"rstrip": false,
|
22 |
+
"single_word": false
|
23 |
+
}
|
24 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_prefix_space": false,
|
3 |
+
"added_tokens_decoder": {
|
4 |
+
"0": {
|
5 |
+
"content": "<|endoftext|>",
|
6 |
+
"lstrip": false,
|
7 |
+
"normalized": false,
|
8 |
+
"rstrip": false,
|
9 |
+
"single_word": false,
|
10 |
+
"special": true
|
11 |
+
}
|
12 |
+
},
|
13 |
+
"bos_token": "<|endoftext|>",
|
14 |
+
"clean_up_tokenization_spaces": true,
|
15 |
+
"eos_token": "<|endoftext|>",
|
16 |
+
"model_max_length": 1024,
|
17 |
+
"pad_token": "<|endoftext|>",
|
18 |
+
"tokenizer_class": "GPT2Tokenizer",
|
19 |
+
"unk_token": "<|endoftext|>"
|
20 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,651 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.9795004547680682,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 21000,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.02,
|
13 |
+
"grad_norm": 1.301074743270874,
|
14 |
+
"learning_rate": 0.00046641791044776124,
|
15 |
+
"loss": 7.611,
|
16 |
+
"step": 500
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.02,
|
20 |
+
"eval_loss": 5.238980293273926,
|
21 |
+
"eval_runtime": 567.2757,
|
22 |
+
"eval_samples_per_second": 99.477,
|
23 |
+
"eval_steps_per_second": 3.11,
|
24 |
+
"step": 500
|
25 |
+
},
|
26 |
+
{
|
27 |
+
"epoch": 0.05,
|
28 |
+
"grad_norm": 1.1419352293014526,
|
29 |
+
"learning_rate": 0.0009328358208955225,
|
30 |
+
"loss": 4.4792,
|
31 |
+
"step": 1000
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"epoch": 0.05,
|
35 |
+
"eval_loss": 4.0363240242004395,
|
36 |
+
"eval_runtime": 568.283,
|
37 |
+
"eval_samples_per_second": 99.301,
|
38 |
+
"eval_steps_per_second": 3.104,
|
39 |
+
"step": 1000
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.07,
|
43 |
+
"grad_norm": 1.1277365684509277,
|
44 |
+
"learning_rate": 0.0009789877154220063,
|
45 |
+
"loss": 3.6503,
|
46 |
+
"step": 1500
|
47 |
+
},
|
48 |
+
{
|
49 |
+
"epoch": 0.07,
|
50 |
+
"eval_loss": 3.468844175338745,
|
51 |
+
"eval_runtime": 568.7397,
|
52 |
+
"eval_samples_per_second": 99.221,
|
53 |
+
"eval_steps_per_second": 3.102,
|
54 |
+
"step": 1500
|
55 |
+
},
|
56 |
+
{
|
57 |
+
"epoch": 0.09,
|
58 |
+
"grad_norm": 1.1394764184951782,
|
59 |
+
"learning_rate": 0.0009544406539991162,
|
60 |
+
"loss": 3.2321,
|
61 |
+
"step": 2000
|
62 |
+
},
|
63 |
+
{
|
64 |
+
"epoch": 0.09,
|
65 |
+
"eval_loss": 3.1853878498077393,
|
66 |
+
"eval_runtime": 568.7397,
|
67 |
+
"eval_samples_per_second": 99.221,
|
68 |
+
"eval_steps_per_second": 3.102,
|
69 |
+
"step": 2000
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 0.12,
|
73 |
+
"grad_norm": 1.0943962335586548,
|
74 |
+
"learning_rate": 0.0009298935925762261,
|
75 |
+
"loss": 3.0165,
|
76 |
+
"step": 2500
|
77 |
+
},
|
78 |
+
{
|
79 |
+
"epoch": 0.12,
|
80 |
+
"eval_loss": 3.0076937675476074,
|
81 |
+
"eval_runtime": 569.7751,
|
82 |
+
"eval_samples_per_second": 99.041,
|
83 |
+
"eval_steps_per_second": 3.096,
|
84 |
+
"step": 2500
|
85 |
+
},
|
86 |
+
{
|
87 |
+
"epoch": 0.14,
|
88 |
+
"grad_norm": 0.9250391721725464,
|
89 |
+
"learning_rate": 0.0009053465311533362,
|
90 |
+
"loss": 2.8757,
|
91 |
+
"step": 3000
|
92 |
+
},
|
93 |
+
{
|
94 |
+
"epoch": 0.14,
|
95 |
+
"eval_loss": 2.8989241123199463,
|
96 |
+
"eval_runtime": 569.8016,
|
97 |
+
"eval_samples_per_second": 99.036,
|
98 |
+
"eval_steps_per_second": 3.096,
|
99 |
+
"step": 3000
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 0.16,
|
103 |
+
"grad_norm": 0.9219993948936462,
|
104 |
+
"learning_rate": 0.0008807994697304462,
|
105 |
+
"loss": 2.7831,
|
106 |
+
"step": 3500
|
107 |
+
},
|
108 |
+
{
|
109 |
+
"epoch": 0.16,
|
110 |
+
"eval_loss": 2.815277099609375,
|
111 |
+
"eval_runtime": 569.7431,
|
112 |
+
"eval_samples_per_second": 99.046,
|
113 |
+
"eval_steps_per_second": 3.096,
|
114 |
+
"step": 3500
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.19,
|
118 |
+
"grad_norm": 1.0010333061218262,
|
119 |
+
"learning_rate": 0.0008562524083075562,
|
120 |
+
"loss": 2.7098,
|
121 |
+
"step": 4000
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.19,
|
125 |
+
"eval_loss": 2.7535383701324463,
|
126 |
+
"eval_runtime": 564.7218,
|
127 |
+
"eval_samples_per_second": 99.927,
|
128 |
+
"eval_steps_per_second": 3.124,
|
129 |
+
"step": 4000
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.21,
|
133 |
+
"grad_norm": 0.9716792702674866,
|
134 |
+
"learning_rate": 0.0008317053468846664,
|
135 |
+
"loss": 2.6551,
|
136 |
+
"step": 4500
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"epoch": 0.21,
|
140 |
+
"eval_loss": 2.7090485095977783,
|
141 |
+
"eval_runtime": 566.8661,
|
142 |
+
"eval_samples_per_second": 99.549,
|
143 |
+
"eval_steps_per_second": 3.112,
|
144 |
+
"step": 4500
|
145 |
+
},
|
146 |
+
{
|
147 |
+
"epoch": 0.23,
|
148 |
+
"grad_norm": 0.9213451743125916,
|
149 |
+
"learning_rate": 0.0008071582854617764,
|
150 |
+
"loss": 2.6152,
|
151 |
+
"step": 5000
|
152 |
+
},
|
153 |
+
{
|
154 |
+
"epoch": 0.23,
|
155 |
+
"eval_loss": 2.666491746902466,
|
156 |
+
"eval_runtime": 565.311,
|
157 |
+
"eval_samples_per_second": 99.823,
|
158 |
+
"eval_steps_per_second": 3.12,
|
159 |
+
"step": 5000
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 0.26,
|
163 |
+
"grad_norm": 0.8985408544540405,
|
164 |
+
"learning_rate": 0.0007826112240388863,
|
165 |
+
"loss": 2.575,
|
166 |
+
"step": 5500
|
167 |
+
},
|
168 |
+
{
|
169 |
+
"epoch": 0.26,
|
170 |
+
"eval_loss": 2.6350765228271484,
|
171 |
+
"eval_runtime": 564.212,
|
172 |
+
"eval_samples_per_second": 100.017,
|
173 |
+
"eval_steps_per_second": 3.126,
|
174 |
+
"step": 5500
|
175 |
+
},
|
176 |
+
{
|
177 |
+
"epoch": 0.28,
|
178 |
+
"grad_norm": 0.8632990717887878,
|
179 |
+
"learning_rate": 0.0007580641626159963,
|
180 |
+
"loss": 2.5464,
|
181 |
+
"step": 6000
|
182 |
+
},
|
183 |
+
{
|
184 |
+
"epoch": 0.28,
|
185 |
+
"eval_loss": 2.6097421646118164,
|
186 |
+
"eval_runtime": 568.485,
|
187 |
+
"eval_samples_per_second": 99.266,
|
188 |
+
"eval_steps_per_second": 3.103,
|
189 |
+
"step": 6000
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 0.3,
|
193 |
+
"grad_norm": 0.8819186687469482,
|
194 |
+
"learning_rate": 0.0007335171011931065,
|
195 |
+
"loss": 2.5183,
|
196 |
+
"step": 6500
|
197 |
+
},
|
198 |
+
{
|
199 |
+
"epoch": 0.3,
|
200 |
+
"eval_loss": 2.580737590789795,
|
201 |
+
"eval_runtime": 568.2279,
|
202 |
+
"eval_samples_per_second": 99.311,
|
203 |
+
"eval_steps_per_second": 3.104,
|
204 |
+
"step": 6500
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"epoch": 0.33,
|
208 |
+
"grad_norm": 0.9012317657470703,
|
209 |
+
"learning_rate": 0.0007089700397702165,
|
210 |
+
"loss": 2.4977,
|
211 |
+
"step": 7000
|
212 |
+
},
|
213 |
+
{
|
214 |
+
"epoch": 0.33,
|
215 |
+
"eval_loss": 2.5541210174560547,
|
216 |
+
"eval_runtime": 568.3683,
|
217 |
+
"eval_samples_per_second": 99.286,
|
218 |
+
"eval_steps_per_second": 3.104,
|
219 |
+
"step": 7000
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.35,
|
223 |
+
"grad_norm": 0.9294862151145935,
|
224 |
+
"learning_rate": 0.0006844229783473265,
|
225 |
+
"loss": 2.4723,
|
226 |
+
"step": 7500
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.35,
|
230 |
+
"eval_loss": 2.535729169845581,
|
231 |
+
"eval_runtime": 569.135,
|
232 |
+
"eval_samples_per_second": 99.152,
|
233 |
+
"eval_steps_per_second": 3.099,
|
234 |
+
"step": 7500
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 0.37,
|
238 |
+
"grad_norm": 0.9035699367523193,
|
239 |
+
"learning_rate": 0.0006598759169244364,
|
240 |
+
"loss": 2.4549,
|
241 |
+
"step": 8000
|
242 |
+
},
|
243 |
+
{
|
244 |
+
"epoch": 0.37,
|
245 |
+
"eval_loss": 2.5194778442382812,
|
246 |
+
"eval_runtime": 569.6481,
|
247 |
+
"eval_samples_per_second": 99.063,
|
248 |
+
"eval_steps_per_second": 3.097,
|
249 |
+
"step": 8000
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 0.4,
|
253 |
+
"grad_norm": 0.9459491968154907,
|
254 |
+
"learning_rate": 0.0006353779496243923,
|
255 |
+
"loss": 2.4428,
|
256 |
+
"step": 8500
|
257 |
+
},
|
258 |
+
{
|
259 |
+
"epoch": 0.4,
|
260 |
+
"eval_loss": 2.502213716506958,
|
261 |
+
"eval_runtime": 565.3877,
|
262 |
+
"eval_samples_per_second": 99.809,
|
263 |
+
"eval_steps_per_second": 3.12,
|
264 |
+
"step": 8500
|
265 |
+
},
|
266 |
+
{
|
267 |
+
"epoch": 0.42,
|
268 |
+
"grad_norm": 0.8880784511566162,
|
269 |
+
"learning_rate": 0.0006108308882015024,
|
270 |
+
"loss": 2.4255,
|
271 |
+
"step": 9000
|
272 |
+
},
|
273 |
+
{
|
274 |
+
"epoch": 0.42,
|
275 |
+
"eval_loss": 2.4834067821502686,
|
276 |
+
"eval_runtime": 567.6005,
|
277 |
+
"eval_samples_per_second": 99.42,
|
278 |
+
"eval_steps_per_second": 3.108,
|
279 |
+
"step": 9000
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 0.44,
|
283 |
+
"grad_norm": 0.9531754851341248,
|
284 |
+
"learning_rate": 0.0005862838267786123,
|
285 |
+
"loss": 2.4092,
|
286 |
+
"step": 9500
|
287 |
+
},
|
288 |
+
{
|
289 |
+
"epoch": 0.44,
|
290 |
+
"eval_loss": 2.473543643951416,
|
291 |
+
"eval_runtime": 561.7685,
|
292 |
+
"eval_samples_per_second": 100.452,
|
293 |
+
"eval_steps_per_second": 3.14,
|
294 |
+
"step": 9500
|
295 |
+
},
|
296 |
+
{
|
297 |
+
"epoch": 0.47,
|
298 |
+
"grad_norm": 0.9443451762199402,
|
299 |
+
"learning_rate": 0.0005617367653557224,
|
300 |
+
"loss": 2.3859,
|
301 |
+
"step": 10000
|
302 |
+
},
|
303 |
+
{
|
304 |
+
"epoch": 0.47,
|
305 |
+
"eval_loss": 2.456810712814331,
|
306 |
+
"eval_runtime": 563.5685,
|
307 |
+
"eval_samples_per_second": 100.132,
|
308 |
+
"eval_steps_per_second": 3.13,
|
309 |
+
"step": 10000
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"epoch": 0.49,
|
313 |
+
"grad_norm": 0.9646140933036804,
|
314 |
+
"learning_rate": 0.0005372387980556782,
|
315 |
+
"loss": 2.3753,
|
316 |
+
"step": 10500
|
317 |
+
},
|
318 |
+
{
|
319 |
+
"epoch": 0.49,
|
320 |
+
"eval_loss": 2.44191837310791,
|
321 |
+
"eval_runtime": 563.9978,
|
322 |
+
"eval_samples_per_second": 100.055,
|
323 |
+
"eval_steps_per_second": 3.128,
|
324 |
+
"step": 10500
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.51,
|
328 |
+
"grad_norm": 0.9498624801635742,
|
329 |
+
"learning_rate": 0.0005126917366327883,
|
330 |
+
"loss": 2.3625,
|
331 |
+
"step": 11000
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.51,
|
335 |
+
"eval_loss": 2.428806781768799,
|
336 |
+
"eval_runtime": 563.9618,
|
337 |
+
"eval_samples_per_second": 100.062,
|
338 |
+
"eval_steps_per_second": 3.128,
|
339 |
+
"step": 11000
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 0.54,
|
343 |
+
"grad_norm": 0.9920567870140076,
|
344 |
+
"learning_rate": 0.0004881446752098984,
|
345 |
+
"loss": 2.3547,
|
346 |
+
"step": 11500
|
347 |
+
},
|
348 |
+
{
|
349 |
+
"epoch": 0.54,
|
350 |
+
"eval_loss": 2.4165408611297607,
|
351 |
+
"eval_runtime": 563.8141,
|
352 |
+
"eval_samples_per_second": 100.088,
|
353 |
+
"eval_steps_per_second": 3.129,
|
354 |
+
"step": 11500
|
355 |
+
},
|
356 |
+
{
|
357 |
+
"epoch": 0.56,
|
358 |
+
"grad_norm": 0.9328219294548035,
|
359 |
+
"learning_rate": 0.0004635976137870084,
|
360 |
+
"loss": 2.3387,
|
361 |
+
"step": 12000
|
362 |
+
},
|
363 |
+
{
|
364 |
+
"epoch": 0.56,
|
365 |
+
"eval_loss": 2.40574312210083,
|
366 |
+
"eval_runtime": 563.9451,
|
367 |
+
"eval_samples_per_second": 100.065,
|
368 |
+
"eval_steps_per_second": 3.128,
|
369 |
+
"step": 12000
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 0.58,
|
373 |
+
"grad_norm": 0.9478664994239807,
|
374 |
+
"learning_rate": 0.00043909964648696415,
|
375 |
+
"loss": 2.3277,
|
376 |
+
"step": 12500
|
377 |
+
},
|
378 |
+
{
|
379 |
+
"epoch": 0.58,
|
380 |
+
"eval_loss": 2.390106201171875,
|
381 |
+
"eval_runtime": 563.4302,
|
382 |
+
"eval_samples_per_second": 100.156,
|
383 |
+
"eval_steps_per_second": 3.131,
|
384 |
+
"step": 12500
|
385 |
+
},
|
386 |
+
{
|
387 |
+
"epoch": 0.61,
|
388 |
+
"grad_norm": 0.9822357296943665,
|
389 |
+
"learning_rate": 0.0004145525850640742,
|
390 |
+
"loss": 2.3071,
|
391 |
+
"step": 13000
|
392 |
+
},
|
393 |
+
{
|
394 |
+
"epoch": 0.61,
|
395 |
+
"eval_loss": 2.380479335784912,
|
396 |
+
"eval_runtime": 563.2217,
|
397 |
+
"eval_samples_per_second": 100.193,
|
398 |
+
"eval_steps_per_second": 3.132,
|
399 |
+
"step": 13000
|
400 |
+
},
|
401 |
+
{
|
402 |
+
"epoch": 0.63,
|
403 |
+
"grad_norm": 0.9824458956718445,
|
404 |
+
"learning_rate": 0.00039000552364118425,
|
405 |
+
"loss": 2.3087,
|
406 |
+
"step": 13500
|
407 |
+
},
|
408 |
+
{
|
409 |
+
"epoch": 0.63,
|
410 |
+
"eval_loss": 2.366305112838745,
|
411 |
+
"eval_runtime": 563.1953,
|
412 |
+
"eval_samples_per_second": 100.198,
|
413 |
+
"eval_steps_per_second": 3.132,
|
414 |
+
"step": 13500
|
415 |
+
},
|
416 |
+
{
|
417 |
+
"epoch": 0.65,
|
418 |
+
"grad_norm": 1.0211139917373657,
|
419 |
+
"learning_rate": 0.00036545846221829433,
|
420 |
+
"loss": 2.283,
|
421 |
+
"step": 14000
|
422 |
+
},
|
423 |
+
{
|
424 |
+
"epoch": 0.65,
|
425 |
+
"eval_loss": 2.3575291633605957,
|
426 |
+
"eval_runtime": 563.2425,
|
427 |
+
"eval_samples_per_second": 100.19,
|
428 |
+
"eval_steps_per_second": 3.132,
|
429 |
+
"step": 14000
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.68,
|
433 |
+
"grad_norm": 1.0012933015823364,
|
434 |
+
"learning_rate": 0.00034091140079540435,
|
435 |
+
"loss": 2.2716,
|
436 |
+
"step": 14500
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.68,
|
440 |
+
"eval_loss": 2.3457164764404297,
|
441 |
+
"eval_runtime": 562.9008,
|
442 |
+
"eval_samples_per_second": 100.25,
|
443 |
+
"eval_steps_per_second": 3.134,
|
444 |
+
"step": 14500
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 0.7,
|
448 |
+
"grad_norm": 1.0424264669418335,
|
449 |
+
"learning_rate": 0.0003164134334953601,
|
450 |
+
"loss": 2.2709,
|
451 |
+
"step": 15000
|
452 |
+
},
|
453 |
+
{
|
454 |
+
"epoch": 0.7,
|
455 |
+
"eval_loss": 2.3343236446380615,
|
456 |
+
"eval_runtime": 562.6281,
|
457 |
+
"eval_samples_per_second": 100.299,
|
458 |
+
"eval_steps_per_second": 3.135,
|
459 |
+
"step": 15000
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 0.72,
|
463 |
+
"grad_norm": 1.1129311323165894,
|
464 |
+
"learning_rate": 0.00029186637207247017,
|
465 |
+
"loss": 2.2584,
|
466 |
+
"step": 15500
|
467 |
+
},
|
468 |
+
{
|
469 |
+
"epoch": 0.72,
|
470 |
+
"eval_loss": 2.3277084827423096,
|
471 |
+
"eval_runtime": 574.0103,
|
472 |
+
"eval_samples_per_second": 98.31,
|
473 |
+
"eval_steps_per_second": 3.073,
|
474 |
+
"step": 15500
|
475 |
+
},
|
476 |
+
{
|
477 |
+
"epoch": 0.75,
|
478 |
+
"grad_norm": 1.0602174997329712,
|
479 |
+
"learning_rate": 0.0002673193106495802,
|
480 |
+
"loss": 2.2509,
|
481 |
+
"step": 16000
|
482 |
+
},
|
483 |
+
{
|
484 |
+
"epoch": 0.75,
|
485 |
+
"eval_loss": 2.3144421577453613,
|
486 |
+
"eval_runtime": 566.0389,
|
487 |
+
"eval_samples_per_second": 99.695,
|
488 |
+
"eval_steps_per_second": 3.116,
|
489 |
+
"step": 16000
|
490 |
+
},
|
491 |
+
{
|
492 |
+
"epoch": 0.77,
|
493 |
+
"grad_norm": 1.1678231954574585,
|
494 |
+
"learning_rate": 0.00024277224922669027,
|
495 |
+
"loss": 2.237,
|
496 |
+
"step": 16500
|
497 |
+
},
|
498 |
+
{
|
499 |
+
"epoch": 0.77,
|
500 |
+
"eval_loss": 2.305784225463867,
|
501 |
+
"eval_runtime": 563.0281,
|
502 |
+
"eval_samples_per_second": 100.228,
|
503 |
+
"eval_steps_per_second": 3.133,
|
504 |
+
"step": 16500
|
505 |
+
},
|
506 |
+
{
|
507 |
+
"epoch": 0.79,
|
508 |
+
"grad_norm": 1.1629687547683716,
|
509 |
+
"learning_rate": 0.000218274281926646,
|
510 |
+
"loss": 2.2249,
|
511 |
+
"step": 17000
|
512 |
+
},
|
513 |
+
{
|
514 |
+
"epoch": 0.79,
|
515 |
+
"eval_loss": 2.2936198711395264,
|
516 |
+
"eval_runtime": 562.9504,
|
517 |
+
"eval_samples_per_second": 100.242,
|
518 |
+
"eval_steps_per_second": 3.133,
|
519 |
+
"step": 17000
|
520 |
+
},
|
521 |
+
{
|
522 |
+
"epoch": 0.82,
|
523 |
+
"grad_norm": 1.0790985822677612,
|
524 |
+
"learning_rate": 0.00019372722050375605,
|
525 |
+
"loss": 2.219,
|
526 |
+
"step": 17500
|
527 |
+
},
|
528 |
+
{
|
529 |
+
"epoch": 0.82,
|
530 |
+
"eval_loss": 2.2830076217651367,
|
531 |
+
"eval_runtime": 562.6154,
|
532 |
+
"eval_samples_per_second": 100.301,
|
533 |
+
"eval_steps_per_second": 3.135,
|
534 |
+
"step": 17500
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.84,
|
538 |
+
"grad_norm": 1.157651424407959,
|
539 |
+
"learning_rate": 0.0001691801590808661,
|
540 |
+
"loss": 2.1999,
|
541 |
+
"step": 18000
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.84,
|
545 |
+
"eval_loss": 2.2722585201263428,
|
546 |
+
"eval_runtime": 562.9469,
|
547 |
+
"eval_samples_per_second": 100.242,
|
548 |
+
"eval_steps_per_second": 3.134,
|
549 |
+
"step": 18000
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 0.86,
|
553 |
+
"grad_norm": 1.0704936981201172,
|
554 |
+
"learning_rate": 0.00014463309765797616,
|
555 |
+
"loss": 2.1999,
|
556 |
+
"step": 18500
|
557 |
+
},
|
558 |
+
{
|
559 |
+
"epoch": 0.86,
|
560 |
+
"eval_loss": 2.2624754905700684,
|
561 |
+
"eval_runtime": 562.9358,
|
562 |
+
"eval_samples_per_second": 100.244,
|
563 |
+
"eval_steps_per_second": 3.134,
|
564 |
+
"step": 18500
|
565 |
+
},
|
566 |
+
{
|
567 |
+
"epoch": 0.89,
|
568 |
+
"grad_norm": 1.1210389137268066,
|
569 |
+
"learning_rate": 0.00012008603623508621,
|
570 |
+
"loss": 2.1898,
|
571 |
+
"step": 19000
|
572 |
+
},
|
573 |
+
{
|
574 |
+
"epoch": 0.89,
|
575 |
+
"eval_loss": 2.254652976989746,
|
576 |
+
"eval_runtime": 563.3356,
|
577 |
+
"eval_samples_per_second": 100.173,
|
578 |
+
"eval_steps_per_second": 3.131,
|
579 |
+
"step": 19000
|
580 |
+
},
|
581 |
+
{
|
582 |
+
"epoch": 0.91,
|
583 |
+
"grad_norm": 1.0510447025299072,
|
584 |
+
"learning_rate": 9.558806893504194e-05,
|
585 |
+
"loss": 2.1796,
|
586 |
+
"step": 19500
|
587 |
+
},
|
588 |
+
{
|
589 |
+
"epoch": 0.91,
|
590 |
+
"eval_loss": 2.2447702884674072,
|
591 |
+
"eval_runtime": 563.3055,
|
592 |
+
"eval_samples_per_second": 100.178,
|
593 |
+
"eval_steps_per_second": 3.132,
|
594 |
+
"step": 19500
|
595 |
+
},
|
596 |
+
{
|
597 |
+
"epoch": 0.93,
|
598 |
+
"grad_norm": 1.0447243452072144,
|
599 |
+
"learning_rate": 7.1041007512152e-05,
|
600 |
+
"loss": 2.1649,
|
601 |
+
"step": 20000
|
602 |
+
},
|
603 |
+
{
|
604 |
+
"epoch": 0.93,
|
605 |
+
"eval_loss": 2.236150026321411,
|
606 |
+
"eval_runtime": 563.3424,
|
607 |
+
"eval_samples_per_second": 100.172,
|
608 |
+
"eval_steps_per_second": 3.131,
|
609 |
+
"step": 20000
|
610 |
+
},
|
611 |
+
{
|
612 |
+
"epoch": 0.96,
|
613 |
+
"grad_norm": 1.039281964302063,
|
614 |
+
"learning_rate": 4.649394608926206e-05,
|
615 |
+
"loss": 2.1606,
|
616 |
+
"step": 20500
|
617 |
+
},
|
618 |
+
{
|
619 |
+
"epoch": 0.96,
|
620 |
+
"eval_loss": 2.228179693222046,
|
621 |
+
"eval_runtime": 563.3883,
|
622 |
+
"eval_samples_per_second": 100.164,
|
623 |
+
"eval_steps_per_second": 3.131,
|
624 |
+
"step": 20500
|
625 |
+
},
|
626 |
+
{
|
627 |
+
"epoch": 0.98,
|
628 |
+
"grad_norm": 1.0719681978225708,
|
629 |
+
"learning_rate": 2.1946884666372103e-05,
|
630 |
+
"loss": 2.1521,
|
631 |
+
"step": 21000
|
632 |
+
},
|
633 |
+
{
|
634 |
+
"epoch": 0.98,
|
635 |
+
"eval_loss": 2.221137285232544,
|
636 |
+
"eval_runtime": 563.1866,
|
637 |
+
"eval_samples_per_second": 100.199,
|
638 |
+
"eval_steps_per_second": 3.132,
|
639 |
+
"step": 21000
|
640 |
+
}
|
641 |
+
],
|
642 |
+
"logging_steps": 500,
|
643 |
+
"max_steps": 21439,
|
644 |
+
"num_input_tokens_seen": 0,
|
645 |
+
"num_train_epochs": 1,
|
646 |
+
"save_steps": 7000,
|
647 |
+
"total_flos": 4102529679360000.0,
|
648 |
+
"train_batch_size": 32,
|
649 |
+
"trial_name": null,
|
650 |
+
"trial_params": null
|
651 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:546837c0781daaeabb91a4ad5c2d28d1b83c6d2c1b686cbf09ee4bf60e2380b5
|
3 |
+
size 4920
|
vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|