MatteoWood commited on
Commit
d59cb29
1 Parent(s): b2928d4

Upload folder using huggingface_hub

Browse files
README.md ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+
2
+ ---
3
+ tags:
4
+ - autotrain
5
+ - text-classification
6
+ widget:
7
+ - text: "I love AutoTrain"
8
+ datasets:
9
+ - MatteoWood/autotrain-data-bert-sexism-classifier-aug1000
10
+ ---
11
+
12
+ # Model Trained Using AutoTrain
13
+
14
+ - Problem type: Text Classification
15
+
16
+ ## Validation Metrics
17
+ loss: 0.40127208828926086
18
+
19
+ f1: 0.6585251291686237
20
+
21
+ precision: 0.6154521510096576
22
+
23
+ recall: 0.7080808080808081
24
+
25
+ auc: 0.8725866639820129
26
+
27
+ accuracy: 0.81825
checkpoint-2125/config.json ADDED
@@ -0,0 +1,36 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "bert-base-uncased",
3
+ "_num_labels": 2,
4
+ "architectures": [
5
+ "BertForSequenceClassification"
6
+ ],
7
+ "attention_probs_dropout_prob": 0.1,
8
+ "classifier_dropout": null,
9
+ "gradient_checkpointing": false,
10
+ "hidden_act": "gelu",
11
+ "hidden_dropout_prob": 0.1,
12
+ "hidden_size": 768,
13
+ "id2label": {
14
+ "0": "not sexist",
15
+ "1": "sexist"
16
+ },
17
+ "initializer_range": 0.02,
18
+ "intermediate_size": 3072,
19
+ "label2id": {
20
+ "not sexist": 0,
21
+ "sexist": 1
22
+ },
23
+ "layer_norm_eps": 1e-12,
24
+ "max_position_embeddings": 512,
25
+ "model_type": "bert",
26
+ "num_attention_heads": 12,
27
+ "num_hidden_layers": 12,
28
+ "pad_token_id": 0,
29
+ "position_embedding_type": "absolute",
30
+ "problem_type": "single_label_classification",
31
+ "torch_dtype": "float32",
32
+ "transformers_version": "4.36.1",
33
+ "type_vocab_size": 2,
34
+ "use_cache": true,
35
+ "vocab_size": 30522
36
+ }
checkpoint-2125/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:57426b4e39038e7c7cd53e0f234d11f3df865d431e798f040dbec54883582c10
3
+ size 437958648
checkpoint-2125/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c47a68a3c6d654512cf2c4782992279bd20006c086635ce0abb7423799639d1f
3
+ size 876032762
checkpoint-2125/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ea80c828fda242274420c31869cb79ef9697d9a196c824561751c1bf181c217f
3
+ size 13990
checkpoint-2125/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a141b17ab5b122bc9546e16075353f781c23e23a8e5a1d6643d35f05d6a7b510
3
+ size 1064
checkpoint-2125/trainer_state.json ADDED
@@ -0,0 +1,160 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.40127208828926086,
3
+ "best_model_checkpoint": "/tmp/model/checkpoint-2125",
4
+ "epoch": 1.0,
5
+ "eval_steps": 500,
6
+ "global_step": 2125,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.05,
13
+ "learning_rate": 4.703668861712135e-06,
14
+ "loss": 0.6976,
15
+ "step": 100
16
+ },
17
+ {
18
+ "epoch": 0.09,
19
+ "learning_rate": 9.40733772342427e-06,
20
+ "loss": 0.5756,
21
+ "step": 200
22
+ },
23
+ {
24
+ "epoch": 0.14,
25
+ "learning_rate": 1.4111006585136408e-05,
26
+ "loss": 0.5905,
27
+ "step": 300
28
+ },
29
+ {
30
+ "epoch": 0.19,
31
+ "learning_rate": 1.881467544684854e-05,
32
+ "loss": 0.5445,
33
+ "step": 400
34
+ },
35
+ {
36
+ "epoch": 0.24,
37
+ "learning_rate": 2.3518344308560677e-05,
38
+ "loss": 0.5061,
39
+ "step": 500
40
+ },
41
+ {
42
+ "epoch": 0.28,
43
+ "learning_rate": 2.8222013170272817e-05,
44
+ "loss": 0.4163,
45
+ "step": 600
46
+ },
47
+ {
48
+ "epoch": 0.33,
49
+ "learning_rate": 3.292568203198495e-05,
50
+ "loss": 0.4063,
51
+ "step": 700
52
+ },
53
+ {
54
+ "epoch": 0.38,
55
+ "learning_rate": 3.762935089369708e-05,
56
+ "loss": 0.4095,
57
+ "step": 800
58
+ },
59
+ {
60
+ "epoch": 0.42,
61
+ "learning_rate": 4.233301975540922e-05,
62
+ "loss": 0.4238,
63
+ "step": 900
64
+ },
65
+ {
66
+ "epoch": 0.47,
67
+ "learning_rate": 4.7036688617121355e-05,
68
+ "loss": 0.431,
69
+ "step": 1000
70
+ },
71
+ {
72
+ "epoch": 0.52,
73
+ "learning_rate": 4.9806525831416025e-05,
74
+ "loss": 0.437,
75
+ "step": 1100
76
+ },
77
+ {
78
+ "epoch": 0.56,
79
+ "learning_rate": 4.9283622673080946e-05,
80
+ "loss": 0.4363,
81
+ "step": 1200
82
+ },
83
+ {
84
+ "epoch": 0.61,
85
+ "learning_rate": 4.8760719514745873e-05,
86
+ "loss": 0.4071,
87
+ "step": 1300
88
+ },
89
+ {
90
+ "epoch": 0.66,
91
+ "learning_rate": 4.8237816356410795e-05,
92
+ "loss": 0.4217,
93
+ "step": 1400
94
+ },
95
+ {
96
+ "epoch": 0.71,
97
+ "learning_rate": 4.7714913198075716e-05,
98
+ "loss": 0.4258,
99
+ "step": 1500
100
+ },
101
+ {
102
+ "epoch": 0.75,
103
+ "learning_rate": 4.7192010039740643e-05,
104
+ "loss": 0.3626,
105
+ "step": 1600
106
+ },
107
+ {
108
+ "epoch": 0.8,
109
+ "learning_rate": 4.6669106881405564e-05,
110
+ "loss": 0.402,
111
+ "step": 1700
112
+ },
113
+ {
114
+ "epoch": 0.85,
115
+ "learning_rate": 4.614620372307049e-05,
116
+ "loss": 0.4052,
117
+ "step": 1800
118
+ },
119
+ {
120
+ "epoch": 0.89,
121
+ "learning_rate": 4.562330056473541e-05,
122
+ "loss": 0.4162,
123
+ "step": 1900
124
+ },
125
+ {
126
+ "epoch": 0.94,
127
+ "learning_rate": 4.5100397406400334e-05,
128
+ "loss": 0.4147,
129
+ "step": 2000
130
+ },
131
+ {
132
+ "epoch": 0.99,
133
+ "learning_rate": 4.457749424806526e-05,
134
+ "loss": 0.4177,
135
+ "step": 2100
136
+ },
137
+ {
138
+ "epoch": 1.0,
139
+ "eval_accuracy": 0.81825,
140
+ "eval_auc": 0.8725866639820129,
141
+ "eval_f1": 0.6585251291686237,
142
+ "eval_loss": 0.40127208828926086,
143
+ "eval_precision": 0.6154521510096576,
144
+ "eval_recall": 0.7080808080808081,
145
+ "eval_runtime": 648.355,
146
+ "eval_samples_per_second": 6.169,
147
+ "eval_steps_per_second": 0.386,
148
+ "step": 2125
149
+ }
150
+ ],
151
+ "logging_steps": 100,
152
+ "max_steps": 10625,
153
+ "num_input_tokens_seen": 0,
154
+ "num_train_epochs": 5,
155
+ "save_steps": 500,
156
+ "total_flos": 1118221985280000.0,
157
+ "train_batch_size": 8,
158
+ "trial_name": null,
159
+ "trial_params": null
160
+ }
checkpoint-2125/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1f258d7d3e60c8146d7b80339d8138fe24bd0e2cb0dd36624df653df34e0f46a
3
+ size 4728
config.json ADDED
@@ -0,0 +1,36 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "bert-base-uncased",
3
+ "_num_labels": 2,
4
+ "architectures": [
5
+ "BertForSequenceClassification"
6
+ ],
7
+ "attention_probs_dropout_prob": 0.1,
8
+ "classifier_dropout": null,
9
+ "gradient_checkpointing": false,
10
+ "hidden_act": "gelu",
11
+ "hidden_dropout_prob": 0.1,
12
+ "hidden_size": 768,
13
+ "id2label": {
14
+ "0": "not sexist",
15
+ "1": "sexist"
16
+ },
17
+ "initializer_range": 0.02,
18
+ "intermediate_size": 3072,
19
+ "label2id": {
20
+ "not sexist": 0,
21
+ "sexist": 1
22
+ },
23
+ "layer_norm_eps": 1e-12,
24
+ "max_position_embeddings": 512,
25
+ "model_type": "bert",
26
+ "num_attention_heads": 12,
27
+ "num_hidden_layers": 12,
28
+ "pad_token_id": 0,
29
+ "position_embedding_type": "absolute",
30
+ "problem_type": "single_label_classification",
31
+ "torch_dtype": "float32",
32
+ "transformers_version": "4.36.1",
33
+ "type_vocab_size": 2,
34
+ "use_cache": true,
35
+ "vocab_size": 30522
36
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:57426b4e39038e7c7cd53e0f234d11f3df865d431e798f040dbec54883582c10
3
+ size 437958648
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
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1f258d7d3e60c8146d7b80339d8138fe24bd0e2cb0dd36624df653df34e0f46a
3
+ size 4728
training_params.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "data_path": "MatteoWood/autotrain-data-bert-sexism-classifier-aug1000",
3
+ "model": "bert-base-uncased",
4
+ "lr": 5e-05,
5
+ "epochs": 5,
6
+ "max_seq_length": 128,
7
+ "batch_size": 8,
8
+ "warmup_ratio": 0.1,
9
+ "gradient_accumulation": 1,
10
+ "optimizer": "adamw_torch",
11
+ "scheduler": "linear",
12
+ "weight_decay": 0.0,
13
+ "max_grad_norm": 1.0,
14
+ "seed": 42,
15
+ "train_split": "train",
16
+ "valid_split": "validation",
17
+ "text_column": "autotrain_text",
18
+ "target_column": "autotrain_label",
19
+ "logging_steps": -1,
20
+ "project_name": "/tmp/model",
21
+ "auto_find_batch_size": false,
22
+ "mixed_precision": null,
23
+ "save_total_limit": 1,
24
+ "save_strategy": "epoch",
25
+ "push_to_hub": true,
26
+ "repo_id": "MatteoWood/bert-sexism-classifier-aug1000-0",
27
+ "evaluation_strategy": "epoch",
28
+ "username": "MatteoWood",
29
+ "log": "none"
30
+ }
vocab.txt ADDED
The diff for this file is too large to render. See raw diff