ahmedselhady commited on
Commit
d480456
·
verified ·
1 Parent(s): 1492c50

Uploaded model file with tokenizer

Browse files
config.json ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "google-bert/bert-base-uncased",
3
+ "architectures": [
4
+ "BertForSequenceClassification"
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
+ "id2label": {
13
+ "0": "NEGATIVE",
14
+ "1": "POSITIVE"
15
+ },
16
+ "initializer_range": 0.02,
17
+ "intermediate_size": 3072,
18
+ "label2id": {
19
+ "NEGATIVE": 0,
20
+ "POSITIVE": 1
21
+ },
22
+ "layer_norm_eps": 1e-12,
23
+ "max_position_embeddings": 512,
24
+ "model_type": "bert",
25
+ "num_attention_heads": 12,
26
+ "num_hidden_layers": 12,
27
+ "pad_token_id": 0,
28
+ "position_embedding_type": "absolute",
29
+ "problem_type": "single_label_classification",
30
+ "torch_dtype": "float32",
31
+ "transformers_version": "4.44.2",
32
+ "type_vocab_size": 2,
33
+ "use_cache": true,
34
+ "vocab_size": 30522
35
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c9055401d5b8d7294c841dacf538f5aa81e8385e9474e4aff128577905204b42
3
+ size 437958648
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7adebf14e1421752d45a09e1d3e3eb11e542219e9aded4319cf0eacf91165f6a
3
+ size 876038330
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5e90a2955f05b63cfd96b4d5119bfe7f4d26057f6be6c2ba7642a2f471308adb
3
+ size 14244
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a349edb35b5503ce6d135f00b98c525c3a6a2d2acf3c6736b55484bebcbd2d91
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 +1,56 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ "truncate": true,
55
+ "unk_token": "[UNK]"
56
+ }
trainer_state.json ADDED
@@ -0,0 +1,109 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.10429740697145462,
3
+ "best_model_checkpoint": "./classifier/checkpoint-40",
4
+ "epoch": 1.2903225806451613,
5
+ "eval_steps": 10,
6
+ "global_step": 40,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.3225806451612903,
13
+ "grad_norm": 1.5601885318756104,
14
+ "learning_rate": 9.35483870967742e-05,
15
+ "loss": 0.1631,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.3225806451612903,
20
+ "eval_accuracy": 0.9565217391304348,
21
+ "eval_f1": 0.8979591836734694,
22
+ "eval_loss": 0.15750479698181152,
23
+ "eval_precision": 0.9705882352941176,
24
+ "eval_recall": 0.8354430379746836,
25
+ "eval_runtime": 0.9626,
26
+ "eval_samples_per_second": 358.397,
27
+ "eval_steps_per_second": 6.233,
28
+ "step": 10
29
+ },
30
+ {
31
+ "epoch": 0.6451612903225806,
32
+ "grad_norm": 3.452174663543701,
33
+ "learning_rate": 8.709677419354839e-05,
34
+ "loss": 0.0953,
35
+ "step": 20
36
+ },
37
+ {
38
+ "epoch": 0.6451612903225806,
39
+ "eval_accuracy": 0.9710144927536232,
40
+ "eval_f1": 0.9375,
41
+ "eval_loss": 0.11482395976781845,
42
+ "eval_precision": 0.9259259259259259,
43
+ "eval_recall": 0.9493670886075949,
44
+ "eval_runtime": 0.6977,
45
+ "eval_samples_per_second": 494.448,
46
+ "eval_steps_per_second": 8.599,
47
+ "step": 20
48
+ },
49
+ {
50
+ "epoch": 0.967741935483871,
51
+ "grad_norm": 4.141051769256592,
52
+ "learning_rate": 8.064516129032258e-05,
53
+ "loss": 0.0984,
54
+ "step": 30
55
+ },
56
+ {
57
+ "epoch": 0.967741935483871,
58
+ "eval_accuracy": 0.9710144927536232,
59
+ "eval_f1": 0.935064935064935,
60
+ "eval_loss": 0.11602061241865158,
61
+ "eval_precision": 0.96,
62
+ "eval_recall": 0.9113924050632911,
63
+ "eval_runtime": 0.8289,
64
+ "eval_samples_per_second": 416.231,
65
+ "eval_steps_per_second": 7.239,
66
+ "step": 30
67
+ },
68
+ {
69
+ "epoch": 1.2903225806451613,
70
+ "grad_norm": 0.5622131824493408,
71
+ "learning_rate": 7.419354838709677e-05,
72
+ "loss": 0.0316,
73
+ "step": 40
74
+ },
75
+ {
76
+ "epoch": 1.2903225806451613,
77
+ "eval_accuracy": 0.9826086956521739,
78
+ "eval_f1": 0.9620253164556962,
79
+ "eval_loss": 0.10429740697145462,
80
+ "eval_precision": 0.9620253164556962,
81
+ "eval_recall": 0.9620253164556962,
82
+ "eval_runtime": 0.6866,
83
+ "eval_samples_per_second": 502.488,
84
+ "eval_steps_per_second": 8.739,
85
+ "step": 40
86
+ }
87
+ ],
88
+ "logging_steps": 10,
89
+ "max_steps": 155,
90
+ "num_input_tokens_seen": 0,
91
+ "num_train_epochs": 5,
92
+ "save_steps": 20,
93
+ "stateful_callbacks": {
94
+ "TrainerControl": {
95
+ "args": {
96
+ "should_epoch_stop": false,
97
+ "should_evaluate": false,
98
+ "should_log": false,
99
+ "should_save": true,
100
+ "should_training_stop": false
101
+ },
102
+ "attributes": {}
103
+ }
104
+ },
105
+ "total_flos": 455444722939380.0,
106
+ "train_batch_size": 64,
107
+ "trial_name": null,
108
+ "trial_params": null
109
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:56ad9775fed237924f766f86149fdd411b355a421294e47ff26768509cc70154
3
+ size 5176
vocab.txt ADDED
The diff for this file is too large to render. See raw diff