pravin691983
commited on
Upload folder using huggingface_hub
Browse files- README.md +37 -0
- checkpoint-250/config.json +40 -0
- checkpoint-250/model.safetensors +3 -0
- checkpoint-250/optimizer.pt +3 -0
- checkpoint-250/rng_state.pth +3 -0
- checkpoint-250/scheduler.pt +3 -0
- checkpoint-250/trainer_state.json +127 -0
- checkpoint-250/training_args.bin +3 -0
- config.json +40 -0
- model.safetensors +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +55 -0
- training_args.bin +3 -0
- training_params.json +28 -0
- vocab.txt +0 -0
README.md
ADDED
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
|
2 |
+
---
|
3 |
+
tags:
|
4 |
+
- autotrain
|
5 |
+
- text-classification
|
6 |
+
widget:
|
7 |
+
- text: "I love AutoTrain"
|
8 |
+
datasets:
|
9 |
+
- few-shot-learning-classification-bert-sm-5K-32/autotrain-data
|
10 |
+
---
|
11 |
+
|
12 |
+
# Model Trained Using AutoTrain
|
13 |
+
|
14 |
+
- Problem type: Text Classification
|
15 |
+
|
16 |
+
## Validation Metrics
|
17 |
+
loss: 0.25288185477256775
|
18 |
+
|
19 |
+
f1_macro: 0.9137712253628689
|
20 |
+
|
21 |
+
f1_micro: 0.914
|
22 |
+
|
23 |
+
f1_weighted: 0.9137712253628689
|
24 |
+
|
25 |
+
precision_macro: 0.9140401620479054
|
26 |
+
|
27 |
+
precision_micro: 0.914
|
28 |
+
|
29 |
+
precision_weighted: 0.9140401620479053
|
30 |
+
|
31 |
+
recall_macro: 0.9140000000000001
|
32 |
+
|
33 |
+
recall_micro: 0.914
|
34 |
+
|
35 |
+
recall_weighted: 0.914
|
36 |
+
|
37 |
+
accuracy: 0.914
|
checkpoint-250/config.json
ADDED
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "google-bert/bert-base-uncased",
|
3 |
+
"_num_labels": 4,
|
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": "0",
|
15 |
+
"1": "1",
|
16 |
+
"2": "2",
|
17 |
+
"3": "3"
|
18 |
+
},
|
19 |
+
"initializer_range": 0.02,
|
20 |
+
"intermediate_size": 3072,
|
21 |
+
"label2id": {
|
22 |
+
"0": 0,
|
23 |
+
"1": 1,
|
24 |
+
"2": 2,
|
25 |
+
"3": 3
|
26 |
+
},
|
27 |
+
"layer_norm_eps": 1e-12,
|
28 |
+
"max_position_embeddings": 512,
|
29 |
+
"model_type": "bert",
|
30 |
+
"num_attention_heads": 12,
|
31 |
+
"num_hidden_layers": 12,
|
32 |
+
"pad_token_id": 0,
|
33 |
+
"position_embedding_type": "absolute",
|
34 |
+
"problem_type": "single_label_classification",
|
35 |
+
"torch_dtype": "float32",
|
36 |
+
"transformers_version": "4.40.1",
|
37 |
+
"type_vocab_size": 2,
|
38 |
+
"use_cache": true,
|
39 |
+
"vocab_size": 30522
|
40 |
+
}
|
checkpoint-250/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4ac550315ba901ba111b2561c819cbf1636550eab29c6695b585f0e5b0e5689b
|
3 |
+
size 437964800
|
checkpoint-250/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2e85428d82a27a5beefa10bb1b5afa8e5f6c302704cfc33565c8e3ca16806010
|
3 |
+
size 876050682
|
checkpoint-250/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5ac869828c5024d4d4a82b7cf859980dc582788f9ad94e39e9adcd052ae285a7
|
3 |
+
size 14244
|
checkpoint-250/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2510bf6ad7c05936779f61e0fa5dbd1a56f64d753f53af2641533f153a76c256
|
3 |
+
size 1064
|
checkpoint-250/trainer_state.json
ADDED
@@ -0,0 +1,127 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.25288185477256775,
|
3 |
+
"best_model_checkpoint": "few-shot-learning-classification-bert-sm-5K-32/checkpoint-250",
|
4 |
+
"epoch": 2.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 250,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.2,
|
13 |
+
"grad_norm": 4.231257915496826,
|
14 |
+
"learning_rate": 2e-05,
|
15 |
+
"loss": 1.2334,
|
16 |
+
"step": 25
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.4,
|
20 |
+
"grad_norm": 2.2730774879455566,
|
21 |
+
"learning_rate": 1.7777777777777777e-05,
|
22 |
+
"loss": 0.6694,
|
23 |
+
"step": 50
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.6,
|
27 |
+
"grad_norm": 2.707385778427124,
|
28 |
+
"learning_rate": 1.555555555555556e-05,
|
29 |
+
"loss": 0.3834,
|
30 |
+
"step": 75
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.8,
|
34 |
+
"grad_norm": 2.1450345516204834,
|
35 |
+
"learning_rate": 1.3333333333333333e-05,
|
36 |
+
"loss": 0.3034,
|
37 |
+
"step": 100
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 1.0,
|
41 |
+
"grad_norm": 3.1361820697784424,
|
42 |
+
"learning_rate": 1.1111111111111113e-05,
|
43 |
+
"loss": 0.2999,
|
44 |
+
"step": 125
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 1.0,
|
48 |
+
"eval_accuracy": 0.904,
|
49 |
+
"eval_f1_macro": 0.9036653728644836,
|
50 |
+
"eval_f1_micro": 0.904,
|
51 |
+
"eval_f1_weighted": 0.9036653728644836,
|
52 |
+
"eval_loss": 0.2839123606681824,
|
53 |
+
"eval_precision_macro": 0.9037858383571149,
|
54 |
+
"eval_precision_micro": 0.904,
|
55 |
+
"eval_precision_weighted": 0.9037858383571149,
|
56 |
+
"eval_recall_macro": 0.904,
|
57 |
+
"eval_recall_micro": 0.904,
|
58 |
+
"eval_recall_weighted": 0.904,
|
59 |
+
"eval_runtime": 9.7499,
|
60 |
+
"eval_samples_per_second": 410.262,
|
61 |
+
"eval_steps_per_second": 6.462,
|
62 |
+
"step": 125
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 1.2,
|
66 |
+
"grad_norm": 3.473186731338501,
|
67 |
+
"learning_rate": 8.888888888888888e-06,
|
68 |
+
"loss": 0.2484,
|
69 |
+
"step": 150
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 1.4,
|
73 |
+
"grad_norm": 3.498867988586426,
|
74 |
+
"learning_rate": 6.666666666666667e-06,
|
75 |
+
"loss": 0.2535,
|
76 |
+
"step": 175
|
77 |
+
},
|
78 |
+
{
|
79 |
+
"epoch": 1.6,
|
80 |
+
"grad_norm": 3.2598490715026855,
|
81 |
+
"learning_rate": 4.444444444444444e-06,
|
82 |
+
"loss": 0.2242,
|
83 |
+
"step": 200
|
84 |
+
},
|
85 |
+
{
|
86 |
+
"epoch": 1.8,
|
87 |
+
"grad_norm": 2.939223289489746,
|
88 |
+
"learning_rate": 2.222222222222222e-06,
|
89 |
+
"loss": 0.2224,
|
90 |
+
"step": 225
|
91 |
+
},
|
92 |
+
{
|
93 |
+
"epoch": 2.0,
|
94 |
+
"grad_norm": 2.8699662685394287,
|
95 |
+
"learning_rate": 0.0,
|
96 |
+
"loss": 0.2132,
|
97 |
+
"step": 250
|
98 |
+
},
|
99 |
+
{
|
100 |
+
"epoch": 2.0,
|
101 |
+
"eval_accuracy": 0.914,
|
102 |
+
"eval_f1_macro": 0.9137712253628689,
|
103 |
+
"eval_f1_micro": 0.914,
|
104 |
+
"eval_f1_weighted": 0.9137712253628689,
|
105 |
+
"eval_loss": 0.25288185477256775,
|
106 |
+
"eval_precision_macro": 0.9140401620479054,
|
107 |
+
"eval_precision_micro": 0.914,
|
108 |
+
"eval_precision_weighted": 0.9140401620479053,
|
109 |
+
"eval_recall_macro": 0.9140000000000001,
|
110 |
+
"eval_recall_micro": 0.914,
|
111 |
+
"eval_recall_weighted": 0.914,
|
112 |
+
"eval_runtime": 9.7809,
|
113 |
+
"eval_samples_per_second": 408.961,
|
114 |
+
"eval_steps_per_second": 6.441,
|
115 |
+
"step": 250
|
116 |
+
}
|
117 |
+
],
|
118 |
+
"logging_steps": 25,
|
119 |
+
"max_steps": 250,
|
120 |
+
"num_input_tokens_seen": 0,
|
121 |
+
"num_train_epochs": 2,
|
122 |
+
"save_steps": 500,
|
123 |
+
"total_flos": 8419704963072000.0,
|
124 |
+
"train_batch_size": 32,
|
125 |
+
"trial_name": null,
|
126 |
+
"trial_params": null
|
127 |
+
}
|
checkpoint-250/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c8faa3f1dfbabb7fab8de33db0059a4da000d844d786c33151bfd08b4cabd59a
|
3 |
+
size 5048
|
config.json
ADDED
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "google-bert/bert-base-uncased",
|
3 |
+
"_num_labels": 4,
|
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": "0",
|
15 |
+
"1": "1",
|
16 |
+
"2": "2",
|
17 |
+
"3": "3"
|
18 |
+
},
|
19 |
+
"initializer_range": 0.02,
|
20 |
+
"intermediate_size": 3072,
|
21 |
+
"label2id": {
|
22 |
+
"0": 0,
|
23 |
+
"1": 1,
|
24 |
+
"2": 2,
|
25 |
+
"3": 3
|
26 |
+
},
|
27 |
+
"layer_norm_eps": 1e-12,
|
28 |
+
"max_position_embeddings": 512,
|
29 |
+
"model_type": "bert",
|
30 |
+
"num_attention_heads": 12,
|
31 |
+
"num_hidden_layers": 12,
|
32 |
+
"pad_token_id": 0,
|
33 |
+
"position_embedding_type": "absolute",
|
34 |
+
"problem_type": "single_label_classification",
|
35 |
+
"torch_dtype": "float32",
|
36 |
+
"transformers_version": "4.40.1",
|
37 |
+
"type_vocab_size": 2,
|
38 |
+
"use_cache": true,
|
39 |
+
"vocab_size": 30522
|
40 |
+
}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4ac550315ba901ba111b2561c819cbf1636550eab29c6695b585f0e5b0e5689b
|
3 |
+
size 437964800
|
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:c8faa3f1dfbabb7fab8de33db0059a4da000d844d786c33151bfd08b4cabd59a
|
3 |
+
size 5048
|
training_params.json
ADDED
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"data_path": "few-shot-learning-classification-bert-sm-5K-32/autotrain-data",
|
3 |
+
"model": "google-bert/bert-base-uncased",
|
4 |
+
"lr": 2e-05,
|
5 |
+
"epochs": 2,
|
6 |
+
"max_seq_length": 512,
|
7 |
+
"batch_size": 32,
|
8 |
+
"warmup_ratio": 0.1,
|
9 |
+
"gradient_accumulation": 4,
|
10 |
+
"optimizer": "adamw_torch",
|
11 |
+
"scheduler": "linear",
|
12 |
+
"weight_decay": 0.01,
|
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": "few-shot-learning-classification-bert-sm-5K-32",
|
21 |
+
"auto_find_batch_size": false,
|
22 |
+
"mixed_precision": "fp16",
|
23 |
+
"save_total_limit": 1,
|
24 |
+
"push_to_hub": true,
|
25 |
+
"evaluation_strategy": "epoch",
|
26 |
+
"username": "pravin691983",
|
27 |
+
"log": "none"
|
28 |
+
}
|
vocab.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|