batterydata commited on
Commit
f64a6de
1 Parent(s): b5aa1fe

best model for qa

Browse files
config.json ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "/projects/SolarWindowsADSP/shu/models/revision/bert/batteryscibert-uncased/",
3
+ "architectures": [
4
+ "BertForQuestionAnswering"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "classifier_dropout": null,
8
+ "hidden_act": "gelu",
9
+ "hidden_dropout_prob": 0.1,
10
+ "hidden_size": 768,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 3072,
13
+ "layer_norm_eps": 1e-12,
14
+ "max_position_embeddings": 512,
15
+ "model_type": "bert",
16
+ "num_attention_heads": 12,
17
+ "num_hidden_layers": 12,
18
+ "pad_token_id": 0,
19
+ "position_embedding_type": "absolute",
20
+ "torch_dtype": "float32",
21
+ "transformers_version": "4.17.0.dev0",
22
+ "type_vocab_size": 2,
23
+ "use_cache": true,
24
+ "vocab_size": 31090
25
+ }
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7fcd6e10001520f8c2741170f416196ca5582ce6604892d84ed3d93ca6a8b709
3
+ size 874760173
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:618813f1e78fc1cd87a5868e86b6dd175626f76787b8ff6ddb3a1e8e5484e9ac
3
+ size 437406199
rng_state_0.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:882916ae0300639f3813fd1d0673e0c1569c66110e3055087e6f4e7da7438024
3
+ size 14657
rng_state_1.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:91d349f4ebd5eb9cf05be3d12208db7bcd5a1b00d9f20144c04df337a9805394
3
+ size 14657
rng_state_2.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5a7771fa3f69bfc0a65fb865d5e8544b0d3156408176c6b7ccdad536644260a0
3
+ size 14657
rng_state_3.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:17eca2e16d29ab6f55b0d7740fcdf7b0b8a4c6752bbd3e05dfa715f588562ea1
3
+ size 14657
rng_state_4.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:43f1f8785a6f7b19c5e640426ee2072a381b8fab9c100006cec8731cc677e10f
3
+ size 14657
rng_state_5.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f6a16c5f9786caa606d74717ce2fb0a66b388aa59e08740f28e709b4a19decc0
3
+ size 14657
rng_state_6.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:24b2b919dd5da0757ffacc83cf987f91fd2b9f00ce490945276674a2c73b29cb
3
+ size 14657
rng_state_7.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a33888c8c244b3e083a4fda5182f32f73e2a206222e97408082c3d858785da6b
3
+ size 14657
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a2ff253fba06a55ba17ffb3970c10bd4e12dff4c9e1662d0ef5447bb812a3f1f
3
+ size 623
special_tokens_map.json ADDED
@@ -0,0 +1 @@
 
1
+ {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
tokenizer_config.json ADDED
@@ -0,0 +1 @@
 
1
+ {"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "special_tokens_map_file": null, "name_or_path": "/projects/SolarWindowsADSP/shu/models/revision/bert/batteryscibert-uncased/", "do_basic_tokenize": true, "never_split": null, "tokenizer_class": "BertTokenizer"}
trainer_state.json ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 3.0,
5
+ "global_step": 8346,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.18,
12
+ "learning_rate": 1.910136592379583e-05,
13
+ "loss": 2.1513,
14
+ "step": 500
15
+ },
16
+ {
17
+ "epoch": 0.36,
18
+ "learning_rate": 1.8202731847591663e-05,
19
+ "loss": 1.4112,
20
+ "step": 1000
21
+ },
22
+ {
23
+ "epoch": 0.54,
24
+ "learning_rate": 1.7304097771387492e-05,
25
+ "loss": 1.3035,
26
+ "step": 1500
27
+ },
28
+ {
29
+ "epoch": 0.72,
30
+ "learning_rate": 1.6405463695183324e-05,
31
+ "loss": 1.1842,
32
+ "step": 2000
33
+ },
34
+ {
35
+ "epoch": 0.9,
36
+ "learning_rate": 1.5506829618979153e-05,
37
+ "loss": 1.1289,
38
+ "step": 2500
39
+ },
40
+ {
41
+ "epoch": 1.0,
42
+ "eval_exact_match": 77.59697256385998,
43
+ "eval_f1": 86.11156390697873,
44
+ "step": 2782
45
+ },
46
+ {
47
+ "epoch": 1.08,
48
+ "learning_rate": 1.4608195542774984e-05,
49
+ "loss": 0.9913,
50
+ "step": 3000
51
+ },
52
+ {
53
+ "epoch": 1.26,
54
+ "learning_rate": 1.3709561466570813e-05,
55
+ "loss": 0.884,
56
+ "step": 3500
57
+ },
58
+ {
59
+ "epoch": 1.44,
60
+ "learning_rate": 1.2810927390366643e-05,
61
+ "loss": 0.88,
62
+ "step": 4000
63
+ },
64
+ {
65
+ "epoch": 1.62,
66
+ "learning_rate": 1.1912293314162472e-05,
67
+ "loss": 0.8624,
68
+ "step": 4500
69
+ },
70
+ {
71
+ "epoch": 1.8,
72
+ "learning_rate": 1.1013659237958305e-05,
73
+ "loss": 0.858,
74
+ "step": 5000
75
+ },
76
+ {
77
+ "epoch": 1.98,
78
+ "learning_rate": 1.0115025161754135e-05,
79
+ "loss": 0.8303,
80
+ "step": 5500
81
+ },
82
+ {
83
+ "epoch": 2.0,
84
+ "eval_exact_match": 79.47019867549669,
85
+ "eval_f1": 87.26677361902833,
86
+ "step": 5564
87
+ },
88
+ {
89
+ "epoch": 2.16,
90
+ "learning_rate": 9.216391085549964e-06,
91
+ "loss": 0.6891,
92
+ "step": 6000
93
+ },
94
+ {
95
+ "epoch": 2.34,
96
+ "learning_rate": 8.317757009345795e-06,
97
+ "loss": 0.6715,
98
+ "step": 6500
99
+ },
100
+ {
101
+ "epoch": 2.52,
102
+ "learning_rate": 7.419122933141625e-06,
103
+ "loss": 0.6626,
104
+ "step": 7000
105
+ },
106
+ {
107
+ "epoch": 2.7,
108
+ "learning_rate": 6.520488856937456e-06,
109
+ "loss": 0.6423,
110
+ "step": 7500
111
+ },
112
+ {
113
+ "epoch": 2.88,
114
+ "learning_rate": 5.621854780733286e-06,
115
+ "loss": 0.6547,
116
+ "step": 8000
117
+ },
118
+ {
119
+ "epoch": 3.0,
120
+ "eval_exact_match": 79.81078524124882,
121
+ "eval_f1": 87.66343771063279,
122
+ "step": 8346
123
+ }
124
+ ],
125
+ "max_steps": 11128,
126
+ "num_train_epochs": 4,
127
+ "total_flos": 5.233878433057997e+16,
128
+ "trial_name": null,
129
+ "trial_params": null
130
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8b86aa4544894e45e8b8f868a6ef891c50560aa940b5cf3d9f6ed1ae795208c0
3
+ size 3183
vocab.txt ADDED
The diff for this file is too large to render. See raw diff