amodaresi commited on
Commit
48cd20c
1 Parent(s): 6ccf1fc

Add model and its dependencies

Browse files
config.json ADDED
@@ -0,0 +1,44 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "albert-base-v2",
3
+ "architectures": [
4
+ "AlbertForSequenceClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0,
7
+ "bos_token_id": 2,
8
+ "classifier_dropout_prob": 0.1,
9
+ "down_scale_factor": 1,
10
+ "embedding_size": 128,
11
+ "eos_token_id": 3,
12
+ "finetuning_task": "mnli",
13
+ "gap_size": 0,
14
+ "hidden_act": "gelu_new",
15
+ "hidden_dropout_prob": 0,
16
+ "hidden_size": 768,
17
+ "id2label": {
18
+ "0": "LABEL_0",
19
+ "1": "LABEL_1",
20
+ "2": "LABEL_2"
21
+ },
22
+ "initializer_range": 0.02,
23
+ "inner_group_num": 1,
24
+ "intermediate_size": 3072,
25
+ "label2id": {
26
+ "LABEL_0": 0,
27
+ "LABEL_1": 1,
28
+ "LABEL_2": 2
29
+ },
30
+ "layer_norm_eps": 1e-12,
31
+ "max_position_embeddings": 512,
32
+ "model_type": "albert",
33
+ "net_structure_type": 0,
34
+ "num_attention_heads": 12,
35
+ "num_hidden_groups": 1,
36
+ "num_hidden_layers": 12,
37
+ "num_memory_blocks": 0,
38
+ "pad_token_id": 0,
39
+ "position_embedding_type": "absolute",
40
+ "problem_type": "single_label_classification",
41
+ "transformers_version": "4.9.0.dev0",
42
+ "type_vocab_size": 2,
43
+ "vocab_size": 30000
44
+ }
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:96db18d6b91e03115853372caa2b59a49db9ce10ebc92df07748aab783484052
3
+ size 46758609
special_tokens_map.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "<unk>", "sep_token": "[SEP]", "pad_token": "<pad>", "cls_token": "[CLS]", "mask_token": {"content": "[MASK]", "single_word": false, "lstrip": true, "rstrip": false, "normalized": false}}
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, "remove_space": true, "keep_accents": false, "bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "<unk>", "sep_token": "[SEP]", "pad_token": "<pad>", "cls_token": "[CLS]", "mask_token": {"content": "[MASK]", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "albert-base-v2", "tokenizer_class": "AlbertTokenizer"}
trainer_state.json ADDED
@@ -0,0 +1,100 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.8472745797249108,
3
+ "best_model_checkpoint": "./outputs/albert-base-uncased/fine_tuned_models/checkpoint-9204",
4
+ "epoch": 5.0,
5
+ "global_step": 15340,
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": 2.5673640167364017e-05,
13
+ "loss": 0.5338,
14
+ "step": 3068
15
+ },
16
+ {
17
+ "epoch": 1.0,
18
+ "eval_accuracy": 0.8337238920020377,
19
+ "eval_loss": 0.42842260003089905,
20
+ "eval_runtime": 32.4611,
21
+ "eval_samples_per_second": 302.362,
22
+ "eval_steps_per_second": 37.799,
23
+ "step": 3068
24
+ },
25
+ {
26
+ "epoch": 2.0,
27
+ "learning_rate": 1.9255230125523012e-05,
28
+ "loss": 0.3616,
29
+ "step": 6136
30
+ },
31
+ {
32
+ "epoch": 2.0,
33
+ "eval_accuracy": 0.8427916454406521,
34
+ "eval_loss": 0.41475561261177063,
35
+ "eval_runtime": 32.3849,
36
+ "eval_samples_per_second": 303.074,
37
+ "eval_steps_per_second": 37.888,
38
+ "step": 6136
39
+ },
40
+ {
41
+ "epoch": 3.0,
42
+ "learning_rate": 1.2836820083682009e-05,
43
+ "loss": 0.258,
44
+ "step": 9204
45
+ },
46
+ {
47
+ "epoch": 3.0,
48
+ "eval_accuracy": 0.8472745797249108,
49
+ "eval_loss": 0.4169335663318634,
50
+ "eval_runtime": 32.3875,
51
+ "eval_samples_per_second": 303.049,
52
+ "eval_steps_per_second": 37.885,
53
+ "step": 9204
54
+ },
55
+ {
56
+ "epoch": 4.0,
57
+ "learning_rate": 6.418410041841004e-06,
58
+ "loss": 0.1629,
59
+ "step": 12272
60
+ },
61
+ {
62
+ "epoch": 4.0,
63
+ "eval_accuracy": 0.8429954151808456,
64
+ "eval_loss": 0.514365017414093,
65
+ "eval_runtime": 32.4249,
66
+ "eval_samples_per_second": 302.7,
67
+ "eval_steps_per_second": 37.841,
68
+ "step": 12272
69
+ },
70
+ {
71
+ "epoch": 5.0,
72
+ "learning_rate": 0.0,
73
+ "loss": 0.0872,
74
+ "step": 15340
75
+ },
76
+ {
77
+ "epoch": 5.0,
78
+ "eval_accuracy": 0.8393275598573612,
79
+ "eval_loss": 0.6480396389961243,
80
+ "eval_runtime": 32.4279,
81
+ "eval_samples_per_second": 302.671,
82
+ "eval_steps_per_second": 37.838,
83
+ "step": 15340
84
+ },
85
+ {
86
+ "epoch": 5.0,
87
+ "step": 15340,
88
+ "total_flos": 1.762203942713088e+16,
89
+ "train_loss": 0.2806968082194223,
90
+ "train_runtime": 15169.7185,
91
+ "train_samples_per_second": 129.436,
92
+ "train_steps_per_second": 1.011
93
+ }
94
+ ],
95
+ "max_steps": 15340,
96
+ "num_train_epochs": 5,
97
+ "total_flos": 1.762203942713088e+16,
98
+ "trial_name": null,
99
+ "trial_params": null
100
+ }