EhsanAghazadeh commited on
Commit
d20c2a1
1 Parent(s): de8e2fa

Add model and its dependencies

Browse files
all_results.json ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 5.0,
3
+ "eval_accuracy": 0.9193420727182785,
4
+ "eval_combined_score": 0.9058325024314523,
5
+ "eval_f1": 0.8923229321446261,
6
+ "eval_loss": 0.34968483448028564,
7
+ "eval_runtime": 184.9312,
8
+ "eval_samples": 40430,
9
+ "eval_samples_per_second": 218.622,
10
+ "eval_steps_per_second": 27.329,
11
+ "train_loss": 0.15893298222829733,
12
+ "train_runtime": 22957.9884,
13
+ "train_samples": 363846,
14
+ "train_samples_per_second": 79.242,
15
+ "train_steps_per_second": 2.476
16
+ }
config.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "google/electra-base-discriminator",
3
+ "architectures": [
4
+ "ElectraForSequenceClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "embedding_size": 768,
8
+ "finetuning_task": "qqp",
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": "electra",
17
+ "num_attention_heads": 12,
18
+ "num_hidden_layers": 12,
19
+ "pad_token_id": 0,
20
+ "position_embedding_type": "absolute",
21
+ "problem_type": "single_label_classification",
22
+ "summary_activation": "gelu",
23
+ "summary_last_dropout": 0.1,
24
+ "summary_type": "first",
25
+ "summary_use_proj": true,
26
+ "torch_dtype": "float32",
27
+ "transformers_version": "4.9.2",
28
+ "type_vocab_size": 2,
29
+ "vocab_size": 30522
30
+ }
eval_results.json ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 5.0,
3
+ "eval_accuracy": 0.9193420727182785,
4
+ "eval_combined_score": 0.9058325024314523,
5
+ "eval_f1": 0.8923229321446261,
6
+ "eval_loss": 0.34968483448028564,
7
+ "eval_runtime": 184.9312,
8
+ "eval_samples": 40430,
9
+ "eval_samples_per_second": 218.622,
10
+ "eval_steps_per_second": 27.329
11
+ }
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a5e1ecde77f14dd68cfc572d218f6eda70483ac7a3e3b2834618ec90fb18d353
3
+ size 438020461
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, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "google/electra-base-discriminator", "tokenizer_class": "ElectraTokenizer"}
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 5.0,
3
+ "train_loss": 0.15893298222829733,
4
+ "train_runtime": 22957.9884,
5
+ "train_samples": 363846,
6
+ "train_samples_per_second": 79.242,
7
+ "train_steps_per_second": 2.476
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,110 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.9193420727182785,
3
+ "best_model_checkpoint": "./bert-base-uncased/fine_tuned_models/checkpoint-56855",
4
+ "epoch": 5.0,
5
+ "global_step": 56855,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 1.0,
12
+ "learning_rate": 1.777760406488177e-05,
13
+ "loss": 0.3047,
14
+ "step": 11371
15
+ },
16
+ {
17
+ "epoch": 1.0,
18
+ "eval_accuracy": 0.9014098441751175,
19
+ "eval_combined_score": 0.8851629594461485,
20
+ "eval_f1": 0.8689160747171797,
21
+ "eval_loss": 0.23259252309799194,
22
+ "eval_runtime": 184.8012,
23
+ "eval_samples_per_second": 218.776,
24
+ "eval_steps_per_second": 27.348,
25
+ "step": 11371
26
+ },
27
+ {
28
+ "epoch": 2.0,
29
+ "learning_rate": 1.3333203048661326e-05,
30
+ "loss": 0.1947,
31
+ "step": 22742
32
+ },
33
+ {
34
+ "epoch": 2.0,
35
+ "eval_accuracy": 0.9104625278258719,
36
+ "eval_combined_score": 0.8964000866393222,
37
+ "eval_f1": 0.8823376454527725,
38
+ "eval_loss": 0.22876402735710144,
39
+ "eval_runtime": 186.4733,
40
+ "eval_samples_per_second": 216.814,
41
+ "eval_steps_per_second": 27.103,
42
+ "step": 22742
43
+ },
44
+ {
45
+ "epoch": 3.0,
46
+ "learning_rate": 8.888802032440885e-06,
47
+ "loss": 0.1341,
48
+ "step": 34113
49
+ },
50
+ {
51
+ "epoch": 3.0,
52
+ "eval_accuracy": 0.9148899332179075,
53
+ "eval_combined_score": 0.9012690434039385,
54
+ "eval_f1": 0.8876481535899697,
55
+ "eval_loss": 0.25043725967407227,
56
+ "eval_runtime": 184.9863,
57
+ "eval_samples_per_second": 218.557,
58
+ "eval_steps_per_second": 27.321,
59
+ "step": 34113
60
+ },
61
+ {
62
+ "epoch": 4.0,
63
+ "learning_rate": 4.4444010162204425e-06,
64
+ "loss": 0.0941,
65
+ "step": 45484
66
+ },
67
+ {
68
+ "epoch": 4.0,
69
+ "eval_accuracy": 0.9188473905515706,
70
+ "eval_combined_score": 0.9048984850521007,
71
+ "eval_f1": 0.8909495795526308,
72
+ "eval_loss": 0.3024890720844269,
73
+ "eval_runtime": 184.8484,
74
+ "eval_samples_per_second": 218.72,
75
+ "eval_steps_per_second": 27.341,
76
+ "step": 45484
77
+ },
78
+ {
79
+ "epoch": 5.0,
80
+ "learning_rate": 0.0,
81
+ "loss": 0.0671,
82
+ "step": 56855
83
+ },
84
+ {
85
+ "epoch": 5.0,
86
+ "eval_accuracy": 0.9193420727182785,
87
+ "eval_combined_score": 0.9058325024314523,
88
+ "eval_f1": 0.8923229321446261,
89
+ "eval_loss": 0.34968483448028564,
90
+ "eval_runtime": 184.9351,
91
+ "eval_samples_per_second": 218.617,
92
+ "eval_steps_per_second": 27.329,
93
+ "step": 56855
94
+ },
95
+ {
96
+ "epoch": 5.0,
97
+ "step": 56855,
98
+ "total_flos": 1.196648813106432e+17,
99
+ "train_loss": 0.15893298222829733,
100
+ "train_runtime": 22957.9884,
101
+ "train_samples_per_second": 79.242,
102
+ "train_steps_per_second": 2.476
103
+ }
104
+ ],
105
+ "max_steps": 56855,
106
+ "num_train_epochs": 5,
107
+ "total_flos": 1.196648813106432e+17,
108
+ "trial_name": null,
109
+ "trial_params": null
110
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:41a78f508843b0b31f9b64bf0a0d6478947d20a4e56f02c3bc2db60a374b86db
3
+ size 2671
vocab.txt ADDED
The diff for this file is too large to render. See raw diff