commit files to HF hub
Browse files- config.json +26 -0
- generation_config.json +5 -0
- model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state_0.pth +3 -0
- rng_state_1.pth +3 -0
- rng_state_2.pth +3 -0
- rng_state_3.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +55 -0
- trainer_state.json +465 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
config.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "google-bert/bert-base-uncased",
|
3 |
+
"architectures": [
|
4 |
+
"BertForMaskedLM"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.1,
|
7 |
+
"classifier_dropout": null,
|
8 |
+
"gradient_checkpointing": false,
|
9 |
+
"hidden_act": "gelu",
|
10 |
+
"hidden_dropout_prob": 0.1,
|
11 |
+
"hidden_size": 768,
|
12 |
+
"initializer_range": 0.02,
|
13 |
+
"intermediate_size": 3072,
|
14 |
+
"layer_norm_eps": 1e-12,
|
15 |
+
"max_position_embeddings": 512,
|
16 |
+
"model_type": "bert",
|
17 |
+
"num_attention_heads": 12,
|
18 |
+
"num_hidden_layers": 12,
|
19 |
+
"pad_token_id": 0,
|
20 |
+
"position_embedding_type": "absolute",
|
21 |
+
"torch_dtype": "float32",
|
22 |
+
"transformers_version": "4.42.0.dev0",
|
23 |
+
"type_vocab_size": 2,
|
24 |
+
"use_cache": true,
|
25 |
+
"vocab_size": 30522
|
26 |
+
}
|
generation_config.json
ADDED
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"pad_token_id": 0,
|
4 |
+
"transformers_version": "4.42.0.dev0"
|
5 |
+
}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:56011abb0bc8a76c667a400fb4675fd8ceeaa79c0313a876cad63a141115a53f
|
3 |
+
size 438080896
|
optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:85eaef3da135ce7630db7a1de6ac3c9a21908c865a504f7252550f8c85928039
|
3 |
+
size 876283258
|
rng_state_0.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2a00a7764f8ac3474e6269ba42d2b0840eab43bf25501e0cf3de52159396165f
|
3 |
+
size 14960
|
rng_state_1.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:938c3f1af73e72ac9fc33aebd25cf0d26422879318f26b3ea325199a5969c9ac
|
3 |
+
size 14960
|
rng_state_2.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:94a73d2ca9c948698762d3c0e989f98d3c7fd2cdb06bab906459f6b01b571ba6
|
3 |
+
size 14960
|
rng_state_3.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c2649d953591f262036a5fa4f03ce7756b14a2c6e3d1f713e346627276aafc6c
|
3 |
+
size 14960
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5414ff590e460874083e827db46f17a7684f04e4d067c617a8db72bc0ea4b41d
|
3 |
+
size 1064
|
special_tokens_map.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"cls_token": "[CLS]",
|
3 |
+
"mask_token": "[MASK]",
|
4 |
+
"pad_token": "[PAD]",
|
5 |
+
"sep_token": "[SEP]",
|
6 |
+
"unk_token": "[UNK]"
|
7 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,55 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"0": {
|
4 |
+
"content": "[PAD]",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false,
|
9 |
+
"special": true
|
10 |
+
},
|
11 |
+
"100": {
|
12 |
+
"content": "[UNK]",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false,
|
17 |
+
"special": true
|
18 |
+
},
|
19 |
+
"101": {
|
20 |
+
"content": "[CLS]",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
},
|
27 |
+
"102": {
|
28 |
+
"content": "[SEP]",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
+
"103": {
|
36 |
+
"content": "[MASK]",
|
37 |
+
"lstrip": false,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
}
|
43 |
+
},
|
44 |
+
"clean_up_tokenization_spaces": true,
|
45 |
+
"cls_token": "[CLS]",
|
46 |
+
"do_lower_case": true,
|
47 |
+
"mask_token": "[MASK]",
|
48 |
+
"model_max_length": 512,
|
49 |
+
"pad_token": "[PAD]",
|
50 |
+
"sep_token": "[SEP]",
|
51 |
+
"strip_accents": null,
|
52 |
+
"tokenize_chinese_chars": true,
|
53 |
+
"tokenizer_class": "BertTokenizer",
|
54 |
+
"unk_token": "[UNK]"
|
55 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,465 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.10353731364011765,
|
3 |
+
"best_model_checkpoint": "bert-base-uncased_rxnorm_babbage/checkpoint-2500",
|
4 |
+
"epoch": 49.76958525345622,
|
5 |
+
"eval_steps": 100,
|
6 |
+
"global_step": 2700,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 1.8433179723502304,
|
13 |
+
"grad_norm": 0.49460217356681824,
|
14 |
+
"learning_rate": 4.8166666666666674e-05,
|
15 |
+
"loss": 1.0876,
|
16 |
+
"step": 100
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 1.8433179723502304,
|
20 |
+
"eval_accuracy": 0.861022820273691,
|
21 |
+
"eval_loss": 0.6498942375183105,
|
22 |
+
"eval_runtime": 1.5825,
|
23 |
+
"eval_samples_per_second": 921.986,
|
24 |
+
"eval_steps_per_second": 7.583,
|
25 |
+
"step": 100
|
26 |
+
},
|
27 |
+
{
|
28 |
+
"epoch": 3.686635944700461,
|
29 |
+
"grad_norm": 0.4745028614997864,
|
30 |
+
"learning_rate": 4.631481481481481e-05,
|
31 |
+
"loss": 0.6229,
|
32 |
+
"step": 200
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 3.686635944700461,
|
36 |
+
"eval_accuracy": 0.8976233828461907,
|
37 |
+
"eval_loss": 0.45648184418678284,
|
38 |
+
"eval_runtime": 2.1968,
|
39 |
+
"eval_samples_per_second": 664.134,
|
40 |
+
"eval_steps_per_second": 5.462,
|
41 |
+
"step": 200
|
42 |
+
},
|
43 |
+
{
|
44 |
+
"epoch": 5.529953917050691,
|
45 |
+
"grad_norm": 0.4159073233604431,
|
46 |
+
"learning_rate": 4.4462962962962966e-05,
|
47 |
+
"loss": 0.4851,
|
48 |
+
"step": 300
|
49 |
+
},
|
50 |
+
{
|
51 |
+
"epoch": 5.529953917050691,
|
52 |
+
"eval_accuracy": 0.9128444732034104,
|
53 |
+
"eval_loss": 0.3751491904258728,
|
54 |
+
"eval_runtime": 2.5186,
|
55 |
+
"eval_samples_per_second": 579.279,
|
56 |
+
"eval_steps_per_second": 4.764,
|
57 |
+
"step": 300
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 7.373271889400922,
|
61 |
+
"grad_norm": 0.40352028608322144,
|
62 |
+
"learning_rate": 4.261111111111111e-05,
|
63 |
+
"loss": 0.4009,
|
64 |
+
"step": 400
|
65 |
+
},
|
66 |
+
{
|
67 |
+
"epoch": 7.373271889400922,
|
68 |
+
"eval_accuracy": 0.926327338644278,
|
69 |
+
"eval_loss": 0.3037292957305908,
|
70 |
+
"eval_runtime": 2.2024,
|
71 |
+
"eval_samples_per_second": 662.468,
|
72 |
+
"eval_steps_per_second": 5.449,
|
73 |
+
"step": 400
|
74 |
+
},
|
75 |
+
{
|
76 |
+
"epoch": 9.216589861751151,
|
77 |
+
"grad_norm": 0.3955836296081543,
|
78 |
+
"learning_rate": 4.0759259259259264e-05,
|
79 |
+
"loss": 0.34,
|
80 |
+
"step": 500
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 9.216589861751151,
|
84 |
+
"eval_accuracy": 0.9363742622825171,
|
85 |
+
"eval_loss": 0.256952166557312,
|
86 |
+
"eval_runtime": 2.2081,
|
87 |
+
"eval_samples_per_second": 660.734,
|
88 |
+
"eval_steps_per_second": 5.434,
|
89 |
+
"step": 500
|
90 |
+
},
|
91 |
+
{
|
92 |
+
"epoch": 11.059907834101383,
|
93 |
+
"grad_norm": 0.35034212470054626,
|
94 |
+
"learning_rate": 3.890740740740741e-05,
|
95 |
+
"loss": 0.302,
|
96 |
+
"step": 600
|
97 |
+
},
|
98 |
+
{
|
99 |
+
"epoch": 11.059907834101383,
|
100 |
+
"eval_accuracy": 0.9409385419824189,
|
101 |
+
"eval_loss": 0.23246321082115173,
|
102 |
+
"eval_runtime": 2.205,
|
103 |
+
"eval_samples_per_second": 661.68,
|
104 |
+
"eval_steps_per_second": 5.442,
|
105 |
+
"step": 600
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 12.903225806451612,
|
109 |
+
"grad_norm": 0.3660498261451721,
|
110 |
+
"learning_rate": 3.705555555555556e-05,
|
111 |
+
"loss": 0.2701,
|
112 |
+
"step": 700
|
113 |
+
},
|
114 |
+
{
|
115 |
+
"epoch": 12.903225806451612,
|
116 |
+
"eval_accuracy": 0.9453203622945321,
|
117 |
+
"eval_loss": 0.21490083634853363,
|
118 |
+
"eval_runtime": 1.8882,
|
119 |
+
"eval_samples_per_second": 772.706,
|
120 |
+
"eval_steps_per_second": 6.355,
|
121 |
+
"step": 700
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 14.746543778801843,
|
125 |
+
"grad_norm": 0.35468629002571106,
|
126 |
+
"learning_rate": 3.520370370370371e-05,
|
127 |
+
"loss": 0.2488,
|
128 |
+
"step": 800
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 14.746543778801843,
|
132 |
+
"eval_accuracy": 0.9499065420560747,
|
133 |
+
"eval_loss": 0.19009685516357422,
|
134 |
+
"eval_runtime": 2.5126,
|
135 |
+
"eval_samples_per_second": 580.675,
|
136 |
+
"eval_steps_per_second": 4.776,
|
137 |
+
"step": 800
|
138 |
+
},
|
139 |
+
{
|
140 |
+
"epoch": 16.589861751152075,
|
141 |
+
"grad_norm": 0.33421748876571655,
|
142 |
+
"learning_rate": 3.3351851851851854e-05,
|
143 |
+
"loss": 0.23,
|
144 |
+
"step": 900
|
145 |
+
},
|
146 |
+
{
|
147 |
+
"epoch": 16.589861751152075,
|
148 |
+
"eval_accuracy": 0.9532317494434636,
|
149 |
+
"eval_loss": 0.17756867408752441,
|
150 |
+
"eval_runtime": 2.5048,
|
151 |
+
"eval_samples_per_second": 582.491,
|
152 |
+
"eval_steps_per_second": 4.791,
|
153 |
+
"step": 900
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"epoch": 18.433179723502302,
|
157 |
+
"grad_norm": 0.33518287539482117,
|
158 |
+
"learning_rate": 3.15e-05,
|
159 |
+
"loss": 0.2151,
|
160 |
+
"step": 1000
|
161 |
+
},
|
162 |
+
{
|
163 |
+
"epoch": 18.433179723502302,
|
164 |
+
"eval_accuracy": 0.9545267509401824,
|
165 |
+
"eval_loss": 0.16874656081199646,
|
166 |
+
"eval_runtime": 2.1981,
|
167 |
+
"eval_samples_per_second": 663.764,
|
168 |
+
"eval_steps_per_second": 5.459,
|
169 |
+
"step": 1000
|
170 |
+
},
|
171 |
+
{
|
172 |
+
"epoch": 20.276497695852534,
|
173 |
+
"grad_norm": 0.34771665930747986,
|
174 |
+
"learning_rate": 2.9648148148148146e-05,
|
175 |
+
"loss": 0.2035,
|
176 |
+
"step": 1100
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 20.276497695852534,
|
180 |
+
"eval_accuracy": 0.9563604730084985,
|
181 |
+
"eval_loss": 0.1599314957857132,
|
182 |
+
"eval_runtime": 1.8901,
|
183 |
+
"eval_samples_per_second": 771.908,
|
184 |
+
"eval_steps_per_second": 6.349,
|
185 |
+
"step": 1100
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 22.119815668202765,
|
189 |
+
"grad_norm": 0.36460649967193604,
|
190 |
+
"learning_rate": 2.77962962962963e-05,
|
191 |
+
"loss": 0.1931,
|
192 |
+
"step": 1200
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"epoch": 22.119815668202765,
|
196 |
+
"eval_accuracy": 0.9590011289404363,
|
197 |
+
"eval_loss": 0.1495586484670639,
|
198 |
+
"eval_runtime": 2.1981,
|
199 |
+
"eval_samples_per_second": 663.751,
|
200 |
+
"eval_steps_per_second": 5.459,
|
201 |
+
"step": 1200
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"epoch": 23.963133640552996,
|
205 |
+
"grad_norm": 0.31464290618896484,
|
206 |
+
"learning_rate": 2.5944444444444444e-05,
|
207 |
+
"loss": 0.1848,
|
208 |
+
"step": 1300
|
209 |
+
},
|
210 |
+
{
|
211 |
+
"epoch": 23.963133640552996,
|
212 |
+
"eval_accuracy": 0.9585790320110277,
|
213 |
+
"eval_loss": 0.1497500240802765,
|
214 |
+
"eval_runtime": 2.2017,
|
215 |
+
"eval_samples_per_second": 662.667,
|
216 |
+
"eval_steps_per_second": 5.45,
|
217 |
+
"step": 1300
|
218 |
+
},
|
219 |
+
{
|
220 |
+
"epoch": 25.806451612903224,
|
221 |
+
"grad_norm": 0.36158451437950134,
|
222 |
+
"learning_rate": 2.4092592592592593e-05,
|
223 |
+
"loss": 0.1766,
|
224 |
+
"step": 1400
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 25.806451612903224,
|
228 |
+
"eval_accuracy": 0.962577764207473,
|
229 |
+
"eval_loss": 0.13511128723621368,
|
230 |
+
"eval_runtime": 1.8934,
|
231 |
+
"eval_samples_per_second": 770.57,
|
232 |
+
"eval_steps_per_second": 6.338,
|
233 |
+
"step": 1400
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 27.649769585253456,
|
237 |
+
"grad_norm": 0.29482343792915344,
|
238 |
+
"learning_rate": 2.2240740740740743e-05,
|
239 |
+
"loss": 0.1695,
|
240 |
+
"step": 1500
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 27.649769585253456,
|
244 |
+
"eval_accuracy": 0.9624521660736379,
|
245 |
+
"eval_loss": 0.13419833779335022,
|
246 |
+
"eval_runtime": 2.1989,
|
247 |
+
"eval_samples_per_second": 663.518,
|
248 |
+
"eval_steps_per_second": 5.457,
|
249 |
+
"step": 1500
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 29.493087557603687,
|
253 |
+
"grad_norm": 0.3058522939682007,
|
254 |
+
"learning_rate": 2.0388888888888892e-05,
|
255 |
+
"loss": 0.1648,
|
256 |
+
"step": 1600
|
257 |
+
},
|
258 |
+
{
|
259 |
+
"epoch": 29.493087557603687,
|
260 |
+
"eval_accuracy": 0.9629643832989789,
|
261 |
+
"eval_loss": 0.12756001949310303,
|
262 |
+
"eval_runtime": 1.8879,
|
263 |
+
"eval_samples_per_second": 772.823,
|
264 |
+
"eval_steps_per_second": 6.356,
|
265 |
+
"step": 1600
|
266 |
+
},
|
267 |
+
{
|
268 |
+
"epoch": 31.336405529953918,
|
269 |
+
"grad_norm": 0.302731990814209,
|
270 |
+
"learning_rate": 1.8537037037037037e-05,
|
271 |
+
"loss": 0.1587,
|
272 |
+
"step": 1700
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 31.336405529953918,
|
276 |
+
"eval_accuracy": 0.9647220525351252,
|
277 |
+
"eval_loss": 0.1241796463727951,
|
278 |
+
"eval_runtime": 2.1929,
|
279 |
+
"eval_samples_per_second": 665.32,
|
280 |
+
"eval_steps_per_second": 5.472,
|
281 |
+
"step": 1700
|
282 |
+
},
|
283 |
+
{
|
284 |
+
"epoch": 33.17972350230415,
|
285 |
+
"grad_norm": 0.2924918830394745,
|
286 |
+
"learning_rate": 1.6685185185185187e-05,
|
287 |
+
"loss": 0.1535,
|
288 |
+
"step": 1800
|
289 |
+
},
|
290 |
+
{
|
291 |
+
"epoch": 33.17972350230415,
|
292 |
+
"eval_accuracy": 0.9656390433391728,
|
293 |
+
"eval_loss": 0.11920326948165894,
|
294 |
+
"eval_runtime": 2.5148,
|
295 |
+
"eval_samples_per_second": 580.167,
|
296 |
+
"eval_steps_per_second": 4.772,
|
297 |
+
"step": 1800
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 35.02304147465438,
|
301 |
+
"grad_norm": 0.28826281428337097,
|
302 |
+
"learning_rate": 1.4833333333333336e-05,
|
303 |
+
"loss": 0.1513,
|
304 |
+
"step": 1900
|
305 |
+
},
|
306 |
+
{
|
307 |
+
"epoch": 35.02304147465438,
|
308 |
+
"eval_accuracy": 0.9667637762291024,
|
309 |
+
"eval_loss": 0.11383702605962753,
|
310 |
+
"eval_runtime": 2.2026,
|
311 |
+
"eval_samples_per_second": 662.398,
|
312 |
+
"eval_steps_per_second": 5.448,
|
313 |
+
"step": 1900
|
314 |
+
},
|
315 |
+
{
|
316 |
+
"epoch": 36.866359447004605,
|
317 |
+
"grad_norm": 0.3061148226261139,
|
318 |
+
"learning_rate": 1.2981481481481483e-05,
|
319 |
+
"loss": 0.1475,
|
320 |
+
"step": 2000
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 36.866359447004605,
|
324 |
+
"eval_accuracy": 0.9674900966719034,
|
325 |
+
"eval_loss": 0.11254725605249405,
|
326 |
+
"eval_runtime": 2.1953,
|
327 |
+
"eval_samples_per_second": 664.587,
|
328 |
+
"eval_steps_per_second": 5.466,
|
329 |
+
"step": 2000
|
330 |
+
},
|
331 |
+
{
|
332 |
+
"epoch": 38.70967741935484,
|
333 |
+
"grad_norm": 0.29151493310928345,
|
334 |
+
"learning_rate": 1.1129629629629631e-05,
|
335 |
+
"loss": 0.1451,
|
336 |
+
"step": 2100
|
337 |
+
},
|
338 |
+
{
|
339 |
+
"epoch": 38.70967741935484,
|
340 |
+
"eval_accuracy": 0.9666907144077611,
|
341 |
+
"eval_loss": 0.11542753875255585,
|
342 |
+
"eval_runtime": 2.1993,
|
343 |
+
"eval_samples_per_second": 663.397,
|
344 |
+
"eval_steps_per_second": 5.456,
|
345 |
+
"step": 2100
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 40.55299539170507,
|
349 |
+
"grad_norm": 0.2895043194293976,
|
350 |
+
"learning_rate": 9.277777777777778e-06,
|
351 |
+
"loss": 0.1434,
|
352 |
+
"step": 2200
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 40.55299539170507,
|
356 |
+
"eval_accuracy": 0.9673665255454876,
|
357 |
+
"eval_loss": 0.11377675086259842,
|
358 |
+
"eval_runtime": 2.5118,
|
359 |
+
"eval_samples_per_second": 580.85,
|
360 |
+
"eval_steps_per_second": 4.777,
|
361 |
+
"step": 2200
|
362 |
+
},
|
363 |
+
{
|
364 |
+
"epoch": 42.3963133640553,
|
365 |
+
"grad_norm": 0.2832992374897003,
|
366 |
+
"learning_rate": 7.425925925925927e-06,
|
367 |
+
"loss": 0.1413,
|
368 |
+
"step": 2300
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 42.3963133640553,
|
372 |
+
"eval_accuracy": 0.9687953762491814,
|
373 |
+
"eval_loss": 0.10766085237264633,
|
374 |
+
"eval_runtime": 2.5152,
|
375 |
+
"eval_samples_per_second": 580.081,
|
376 |
+
"eval_steps_per_second": 4.771,
|
377 |
+
"step": 2300
|
378 |
+
},
|
379 |
+
{
|
380 |
+
"epoch": 44.23963133640553,
|
381 |
+
"grad_norm": 0.2880547046661377,
|
382 |
+
"learning_rate": 5.574074074074074e-06,
|
383 |
+
"loss": 0.1398,
|
384 |
+
"step": 2400
|
385 |
+
},
|
386 |
+
{
|
387 |
+
"epoch": 44.23963133640553,
|
388 |
+
"eval_accuracy": 0.9683431416498955,
|
389 |
+
"eval_loss": 0.10695406049489975,
|
390 |
+
"eval_runtime": 2.1984,
|
391 |
+
"eval_samples_per_second": 663.665,
|
392 |
+
"eval_steps_per_second": 5.459,
|
393 |
+
"step": 2400
|
394 |
+
},
|
395 |
+
{
|
396 |
+
"epoch": 46.08294930875576,
|
397 |
+
"grad_norm": 0.2785598337650299,
|
398 |
+
"learning_rate": 3.722222222222222e-06,
|
399 |
+
"loss": 0.1373,
|
400 |
+
"step": 2500
|
401 |
+
},
|
402 |
+
{
|
403 |
+
"epoch": 46.08294930875576,
|
404 |
+
"eval_accuracy": 0.9688496396065625,
|
405 |
+
"eval_loss": 0.10353731364011765,
|
406 |
+
"eval_runtime": 1.8905,
|
407 |
+
"eval_samples_per_second": 771.736,
|
408 |
+
"eval_steps_per_second": 6.347,
|
409 |
+
"step": 2500
|
410 |
+
},
|
411 |
+
{
|
412 |
+
"epoch": 47.92626728110599,
|
413 |
+
"grad_norm": 0.2812165319919586,
|
414 |
+
"learning_rate": 1.8703703703703707e-06,
|
415 |
+
"loss": 0.1366,
|
416 |
+
"step": 2600
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 47.92626728110599,
|
420 |
+
"eval_accuracy": 0.9693371955635172,
|
421 |
+
"eval_loss": 0.10568127781152725,
|
422 |
+
"eval_runtime": 1.8904,
|
423 |
+
"eval_samples_per_second": 771.79,
|
424 |
+
"eval_steps_per_second": 6.348,
|
425 |
+
"step": 2600
|
426 |
+
},
|
427 |
+
{
|
428 |
+
"epoch": 49.76958525345622,
|
429 |
+
"grad_norm": 0.2685796022415161,
|
430 |
+
"learning_rate": 1.8518518518518518e-08,
|
431 |
+
"loss": 0.1368,
|
432 |
+
"step": 2700
|
433 |
+
},
|
434 |
+
{
|
435 |
+
"epoch": 49.76958525345622,
|
436 |
+
"eval_accuracy": 0.9689754071024974,
|
437 |
+
"eval_loss": 0.10547203570604324,
|
438 |
+
"eval_runtime": 1.8901,
|
439 |
+
"eval_samples_per_second": 771.907,
|
440 |
+
"eval_steps_per_second": 6.349,
|
441 |
+
"step": 2700
|
442 |
+
}
|
443 |
+
],
|
444 |
+
"logging_steps": 100,
|
445 |
+
"max_steps": 2700,
|
446 |
+
"num_input_tokens_seen": 0,
|
447 |
+
"num_train_epochs": 50,
|
448 |
+
"save_steps": 100,
|
449 |
+
"stateful_callbacks": {
|
450 |
+
"TrainerControl": {
|
451 |
+
"args": {
|
452 |
+
"should_epoch_stop": false,
|
453 |
+
"should_evaluate": false,
|
454 |
+
"should_log": false,
|
455 |
+
"should_save": true,
|
456 |
+
"should_training_stop": true
|
457 |
+
},
|
458 |
+
"attributes": {}
|
459 |
+
}
|
460 |
+
},
|
461 |
+
"total_flos": 3.638543188324516e+17,
|
462 |
+
"train_batch_size": 32,
|
463 |
+
"trial_name": null,
|
464 |
+
"trial_params": null
|
465 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e34afbf5523ef0466ca55ab68e3b60028bf0db9f96324a23783c919d51bacedb
|
3 |
+
size 5048
|
vocab.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|