alexander-sh commited on
Commit
4e8df88
·
1 Parent(s): 92c8891

Push tokenizer and the last model checkpoints

Browse files
added_tokens.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "[MASK]": 128000
3
+ }
config.json ADDED
@@ -0,0 +1,46 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "microsoft/deberta-v3-base",
3
+ "architectures": [
4
+ "DebertaV2ForSequenceClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.2,
7
+ "classifier_dropout": 0.3,
8
+ "hidden_act": "gelu",
9
+ "hidden_dropout_prob": 0.2,
10
+ "hidden_size": 768,
11
+ "id2label": {
12
+ "0": "negative",
13
+ "1": "neutral",
14
+ "2": "positive"
15
+ },
16
+ "initializer_range": 0.02,
17
+ "intermediate_size": 3072,
18
+ "label2id": {
19
+ "negative": 0,
20
+ "neutral": 1,
21
+ "positive": 2
22
+ },
23
+ "layer_norm_eps": 1e-07,
24
+ "max_position_embeddings": 512,
25
+ "max_relative_positions": -1,
26
+ "model_type": "deberta-v2",
27
+ "norm_rel_ebd": "layer_norm",
28
+ "num_attention_heads": 12,
29
+ "num_hidden_layers": 12,
30
+ "pad_token_id": 0,
31
+ "pooler_dropout": 0,
32
+ "pooler_hidden_act": "gelu",
33
+ "pooler_hidden_size": 768,
34
+ "pos_att_type": [
35
+ "p2c",
36
+ "c2p"
37
+ ],
38
+ "position_biased_input": false,
39
+ "position_buckets": 256,
40
+ "relative_attention": true,
41
+ "share_att_key": true,
42
+ "torch_dtype": "float32",
43
+ "transformers_version": "4.46.3",
44
+ "type_vocab_size": 0,
45
+ "vocab_size": 128100
46
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bdccb9a1326282ce172abc05046d8868d5a53154be6b0905220f3aa58f59e7f1
3
+ size 737722356
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d635017647497837523dbad9bcb82e9b738f9c5e7a0ffa17b00200367a854171
3
+ size 1475564538
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:793360edb51cd3988eb774af5dc5baade22c92a0feab952b0442e9f0363feb8a
3
+ size 14244
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0e1d4b62c8569136ac533bea6bd4720b618f75d960825875ab003fa764178d75
3
+ size 1064
special_tokens_map.json ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": "[CLS]",
3
+ "cls_token": "[CLS]",
4
+ "eos_token": "[SEP]",
5
+ "mask_token": "[MASK]",
6
+ "pad_token": "[PAD]",
7
+ "sep_token": "[SEP]",
8
+ "unk_token": {
9
+ "content": "[UNK]",
10
+ "lstrip": false,
11
+ "normalized": true,
12
+ "rstrip": false,
13
+ "single_word": false
14
+ }
15
+ }
spm.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c679fbf93643d19aab7ee10c0b99e460bdbc02fedf34b92b05af343b4af586fd
3
+ size 2464616
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,58 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ "1": {
12
+ "content": "[CLS]",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false,
17
+ "special": true
18
+ },
19
+ "2": {
20
+ "content": "[SEP]",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false,
25
+ "special": true
26
+ },
27
+ "3": {
28
+ "content": "[UNK]",
29
+ "lstrip": false,
30
+ "normalized": true,
31
+ "rstrip": false,
32
+ "single_word": false,
33
+ "special": true
34
+ },
35
+ "128000": {
36
+ "content": "[MASK]",
37
+ "lstrip": false,
38
+ "normalized": false,
39
+ "rstrip": false,
40
+ "single_word": false,
41
+ "special": true
42
+ }
43
+ },
44
+ "bos_token": "[CLS]",
45
+ "clean_up_tokenization_spaces": false,
46
+ "cls_token": "[CLS]",
47
+ "do_lower_case": false,
48
+ "eos_token": "[SEP]",
49
+ "mask_token": "[MASK]",
50
+ "model_max_length": 1000000000000000019884624838656,
51
+ "pad_token": "[PAD]",
52
+ "sep_token": "[SEP]",
53
+ "sp_model_kwargs": {},
54
+ "split_by_punct": false,
55
+ "tokenizer_class": "DebertaV2Tokenizer",
56
+ "unk_token": "[UNK]",
57
+ "vocab_type": "spm"
58
+ }
trainer_state.json ADDED
@@ -0,0 +1,185 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.7336740904072855,
3
+ "best_model_checkpoint": "/shevtsov/sent_results/checkpoint-55176",
4
+ "epoch": 8.0,
5
+ "eval_steps": 500,
6
+ "global_step": 55176,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 1.0,
13
+ "grad_norm": 10.982656478881836,
14
+ "learning_rate": 5e-06,
15
+ "loss": 0.278,
16
+ "step": 6897
17
+ },
18
+ {
19
+ "epoch": 1.0,
20
+ "eval_accuracy": 0.6962722394803728,
21
+ "eval_f1": 0.6954934097978532,
22
+ "eval_loss": 0.27303698658943176,
23
+ "eval_precision": 0.7032410224368593,
24
+ "eval_recall": 0.6962722394803728,
25
+ "eval_runtime": 235.2201,
26
+ "eval_samples_per_second": 90.324,
27
+ "eval_steps_per_second": 11.292,
28
+ "step": 6897
29
+ },
30
+ {
31
+ "epoch": 2.0,
32
+ "grad_norm": 3.829893112182617,
33
+ "learning_rate": 4.849231551964771e-06,
34
+ "loss": 0.1974,
35
+ "step": 13794
36
+ },
37
+ {
38
+ "epoch": 2.0,
39
+ "eval_accuracy": 0.7188176597947848,
40
+ "eval_f1": 0.7159777515871979,
41
+ "eval_loss": 0.2562166452407837,
42
+ "eval_precision": 0.7156618605155758,
43
+ "eval_recall": 0.7188176597947848,
44
+ "eval_runtime": 235.187,
45
+ "eval_samples_per_second": 90.337,
46
+ "eval_steps_per_second": 11.293,
47
+ "step": 13794
48
+ },
49
+ {
50
+ "epoch": 3.0,
51
+ "grad_norm": 7.553038597106934,
52
+ "learning_rate": 4.415111107797445e-06,
53
+ "loss": 0.172,
54
+ "step": 20691
55
+ },
56
+ {
57
+ "epoch": 3.0,
58
+ "eval_accuracy": 0.7296902946436976,
59
+ "eval_f1": 0.7289604788993475,
60
+ "eval_loss": 0.27564719319343567,
61
+ "eval_precision": 0.7285244419417612,
62
+ "eval_recall": 0.7296902946436976,
63
+ "eval_runtime": 235.2108,
64
+ "eval_samples_per_second": 90.327,
65
+ "eval_steps_per_second": 11.292,
66
+ "step": 20691
67
+ },
68
+ {
69
+ "epoch": 4.0,
70
+ "grad_norm": 5.199881076812744,
71
+ "learning_rate": 3.7500000000000005e-06,
72
+ "loss": 0.154,
73
+ "step": 27588
74
+ },
75
+ {
76
+ "epoch": 4.0,
77
+ "eval_accuracy": 0.7309611220935706,
78
+ "eval_f1": 0.7313527175830589,
79
+ "eval_loss": 0.3117690682411194,
80
+ "eval_precision": 0.7331236097784076,
81
+ "eval_recall": 0.7309611220935706,
82
+ "eval_runtime": 235.1385,
83
+ "eval_samples_per_second": 90.355,
84
+ "eval_steps_per_second": 11.295,
85
+ "step": 27588
86
+ },
87
+ {
88
+ "epoch": 5.0,
89
+ "grad_norm": 4.5583109855651855,
90
+ "learning_rate": 2.9341204441673267e-06,
91
+ "loss": 0.1405,
92
+ "step": 34485
93
+ },
94
+ {
95
+ "epoch": 5.0,
96
+ "eval_accuracy": 0.7292196178104113,
97
+ "eval_f1": 0.7306905410800046,
98
+ "eval_loss": 0.3434309661388397,
99
+ "eval_precision": 0.7340143377006256,
100
+ "eval_recall": 0.7292196178104113,
101
+ "eval_runtime": 235.1135,
102
+ "eval_samples_per_second": 90.365,
103
+ "eval_steps_per_second": 11.297,
104
+ "step": 34485
105
+ },
106
+ {
107
+ "epoch": 6.0,
108
+ "grad_norm": 5.269964218139648,
109
+ "learning_rate": 2.0658795558326745e-06,
110
+ "loss": 0.1292,
111
+ "step": 41382
112
+ },
113
+ {
114
+ "epoch": 6.0,
115
+ "eval_accuracy": 0.728372399510496,
116
+ "eval_f1": 0.7270264813978528,
117
+ "eval_loss": 0.37885233759880066,
118
+ "eval_precision": 0.7276053091596871,
119
+ "eval_recall": 0.728372399510496,
120
+ "eval_runtime": 235.0304,
121
+ "eval_samples_per_second": 90.397,
122
+ "eval_steps_per_second": 11.301,
123
+ "step": 41382
124
+ },
125
+ {
126
+ "epoch": 7.0,
127
+ "grad_norm": 5.499964714050293,
128
+ "learning_rate": 1.2500000000000007e-06,
129
+ "loss": 0.1205,
130
+ "step": 48279
131
+ },
132
+ {
133
+ "epoch": 7.0,
134
+ "eval_accuracy": 0.7335969123599736,
135
+ "eval_f1": 0.7320317760805066,
136
+ "eval_loss": 0.4042453467845917,
137
+ "eval_precision": 0.7316491391334223,
138
+ "eval_recall": 0.7335969123599736,
139
+ "eval_runtime": 235.1289,
140
+ "eval_samples_per_second": 90.359,
141
+ "eval_steps_per_second": 11.296,
142
+ "step": 48279
143
+ },
144
+ {
145
+ "epoch": 8.0,
146
+ "grad_norm": 7.1066179275512695,
147
+ "learning_rate": 5.848888922025553e-07,
148
+ "loss": 0.1145,
149
+ "step": 55176
150
+ },
151
+ {
152
+ "epoch": 8.0,
153
+ "eval_accuracy": 0.7338793184599454,
154
+ "eval_f1": 0.7336740904072855,
155
+ "eval_loss": 0.4205409288406372,
156
+ "eval_precision": 0.7335551105156711,
157
+ "eval_recall": 0.7338793184599454,
158
+ "eval_runtime": 235.1161,
159
+ "eval_samples_per_second": 90.364,
160
+ "eval_steps_per_second": 11.297,
161
+ "step": 55176
162
+ }
163
+ ],
164
+ "logging_steps": 500,
165
+ "max_steps": 68970,
166
+ "num_input_tokens_seen": 0,
167
+ "num_train_epochs": 10,
168
+ "save_steps": 500,
169
+ "stateful_callbacks": {
170
+ "TrainerControl": {
171
+ "args": {
172
+ "should_epoch_stop": false,
173
+ "should_evaluate": false,
174
+ "should_log": false,
175
+ "should_save": true,
176
+ "should_training_stop": false
177
+ },
178
+ "attributes": {}
179
+ }
180
+ },
181
+ "total_flos": 6.968525969553408e+17,
182
+ "train_batch_size": 24,
183
+ "trial_name": null,
184
+ "trial_params": null
185
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d25bd04595533c4a434f13ac4e4cfbd167bcb4a00df5bd299061065f66a73363
3
+ size 5304