Bloch Alexandre commited on
Commit
326c354
1 Parent(s): f418cf7

Upload initial du modèle

Browse files
added_tokens.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "<unk>NOTUSED": 32005
3
+ }
config.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "camembert-base",
3
+ "architectures": [
4
+ "CamembertForTokenClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "bos_token_id": 5,
8
+ "classifier_dropout": null,
9
+ "eos_token_id": 6,
10
+ "hidden_act": "gelu",
11
+ "hidden_dropout_prob": 0.1,
12
+ "hidden_size": 768,
13
+ "initializer_range": 0.02,
14
+ "intermediate_size": 3072,
15
+ "layer_norm_eps": 1e-05,
16
+ "max_position_embeddings": 514,
17
+ "model_type": "camembert",
18
+ "num_attention_heads": 12,
19
+ "num_hidden_layers": 12,
20
+ "output_past": true,
21
+ "pad_token_id": 1,
22
+ "position_embedding_type": "absolute",
23
+ "torch_dtype": "float32",
24
+ "transformers_version": "4.46.2",
25
+ "type_vocab_size": 1,
26
+ "use_cache": true,
27
+ "vocab_size": 32005
28
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e6cd4c42f371c918349717ab13d959309e40f743154e409f17bd89a1b48acf5e
3
+ size 440155504
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d800cbf7b6342f828d4a239b38269e095d473acb4533fe3f5fa3dc9838bb948a
3
+ size 15132
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:367a25943f8d35178542bb39f72f92fdca7f741c4a88543149e08fbc5383a035
3
+ size 14244
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:81f7f6ef3079fd4929d3faa8c5baf85bff068d207dd56fc1d46d9961b1ef9246
3
+ size 1064
sentencepiece.bpe.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:988bc5a00281c6d210a5d34bd143d0363741a432fefe741bf71e61b1869d4314
3
+ size 810912
special_tokens_map.json ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<s>NOTUSED",
4
+ "</s>NOTUSED",
5
+ "<unk>NOTUSED"
6
+ ],
7
+ "bos_token": "<s>",
8
+ "cls_token": "<s>",
9
+ "eos_token": "</s>",
10
+ "mask_token": {
11
+ "content": "<mask>",
12
+ "lstrip": true,
13
+ "normalized": false,
14
+ "rstrip": false,
15
+ "single_word": false
16
+ },
17
+ "pad_token": "<pad>",
18
+ "sep_token": "</s>",
19
+ "unk_token": "<unk>"
20
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,84 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": true,
3
+ "added_tokens_decoder": {
4
+ "0": {
5
+ "content": "<s>NOTUSED",
6
+ "lstrip": false,
7
+ "normalized": false,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "1": {
13
+ "content": "<pad>",
14
+ "lstrip": false,
15
+ "normalized": false,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "2": {
21
+ "content": "</s>NOTUSED",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": true
27
+ },
28
+ "4": {
29
+ "content": "<unk>",
30
+ "lstrip": false,
31
+ "normalized": false,
32
+ "rstrip": false,
33
+ "single_word": false,
34
+ "special": true
35
+ },
36
+ "5": {
37
+ "content": "<s>",
38
+ "lstrip": false,
39
+ "normalized": false,
40
+ "rstrip": false,
41
+ "single_word": false,
42
+ "special": true
43
+ },
44
+ "6": {
45
+ "content": "</s>",
46
+ "lstrip": false,
47
+ "normalized": false,
48
+ "rstrip": false,
49
+ "single_word": false,
50
+ "special": true
51
+ },
52
+ "32004": {
53
+ "content": "<mask>",
54
+ "lstrip": true,
55
+ "normalized": false,
56
+ "rstrip": false,
57
+ "single_word": false,
58
+ "special": true
59
+ },
60
+ "32005": {
61
+ "content": "<unk>NOTUSED",
62
+ "lstrip": false,
63
+ "normalized": false,
64
+ "rstrip": false,
65
+ "single_word": false,
66
+ "special": true
67
+ }
68
+ },
69
+ "additional_special_tokens": [
70
+ "<s>NOTUSED",
71
+ "</s>NOTUSED",
72
+ "<unk>NOTUSED"
73
+ ],
74
+ "bos_token": "<s>",
75
+ "clean_up_tokenization_spaces": false,
76
+ "cls_token": "<s>",
77
+ "eos_token": "</s>",
78
+ "mask_token": "<mask>",
79
+ "model_max_length": 512,
80
+ "pad_token": "<pad>",
81
+ "sep_token": "</s>",
82
+ "tokenizer_class": "CamembertTokenizer",
83
+ "unk_token": "<unk>"
84
+ }
trainer_state.json ADDED
@@ -0,0 +1,174 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.34165722131729126,
3
+ "best_model_checkpoint": "camembert-model/checkpoint-1600",
4
+ "epoch": 10.0,
5
+ "eval_steps": 500,
6
+ "global_step": 1600,
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
+ "eval_accuracy": 0.880101905419033,
14
+ "eval_f1": 0.0,
15
+ "eval_loss": 0.6244299411773682,
16
+ "eval_precision": 0.0,
17
+ "eval_recall": 0.0,
18
+ "eval_runtime": 1.7459,
19
+ "eval_samples_per_second": 456.492,
20
+ "eval_steps_per_second": 28.638,
21
+ "step": 160
22
+ },
23
+ {
24
+ "epoch": 2.0,
25
+ "eval_accuracy": 0.949524972135237,
26
+ "eval_f1": 0.0,
27
+ "eval_loss": 0.5487059354782104,
28
+ "eval_precision": 0.0,
29
+ "eval_recall": 0.0,
30
+ "eval_runtime": 1.7233,
31
+ "eval_samples_per_second": 462.498,
32
+ "eval_steps_per_second": 29.015,
33
+ "step": 320
34
+ },
35
+ {
36
+ "epoch": 3.0,
37
+ "eval_accuracy": 0.9524972135236983,
38
+ "eval_f1": 0.0,
39
+ "eval_loss": 0.4897811710834503,
40
+ "eval_precision": 0.0,
41
+ "eval_recall": 0.0,
42
+ "eval_runtime": 1.7082,
43
+ "eval_samples_per_second": 466.564,
44
+ "eval_steps_per_second": 29.27,
45
+ "step": 480
46
+ },
47
+ {
48
+ "epoch": 3.125,
49
+ "grad_norm": 1.9320571422576904,
50
+ "learning_rate": 1.375e-05,
51
+ "loss": 0.5894,
52
+ "step": 500
53
+ },
54
+ {
55
+ "epoch": 4.0,
56
+ "eval_accuracy": 0.9527625922190966,
57
+ "eval_f1": 0.0,
58
+ "eval_loss": 0.44394731521606445,
59
+ "eval_precision": 0.0,
60
+ "eval_recall": 0.0,
61
+ "eval_runtime": 1.7198,
62
+ "eval_samples_per_second": 463.435,
63
+ "eval_steps_per_second": 29.074,
64
+ "step": 640
65
+ },
66
+ {
67
+ "epoch": 5.0,
68
+ "eval_accuracy": 0.9527625922190966,
69
+ "eval_f1": 0.0,
70
+ "eval_loss": 0.40905287861824036,
71
+ "eval_precision": 0.0,
72
+ "eval_recall": 0.0,
73
+ "eval_runtime": 1.7243,
74
+ "eval_samples_per_second": 462.226,
75
+ "eval_steps_per_second": 28.998,
76
+ "step": 800
77
+ },
78
+ {
79
+ "epoch": 6.0,
80
+ "eval_accuracy": 0.9527625922190966,
81
+ "eval_f1": 0.0,
82
+ "eval_loss": 0.38293978571891785,
83
+ "eval_precision": 0.0,
84
+ "eval_recall": 0.0,
85
+ "eval_runtime": 4.7777,
86
+ "eval_samples_per_second": 166.818,
87
+ "eval_steps_per_second": 10.465,
88
+ "step": 960
89
+ },
90
+ {
91
+ "epoch": 6.25,
92
+ "grad_norm": 1.3343875408172607,
93
+ "learning_rate": 7.500000000000001e-06,
94
+ "loss": 0.4292,
95
+ "step": 1000
96
+ },
97
+ {
98
+ "epoch": 7.0,
99
+ "eval_accuracy": 0.9527625922190966,
100
+ "eval_f1": 0.0,
101
+ "eval_loss": 0.36409473419189453,
102
+ "eval_precision": 0.0,
103
+ "eval_recall": 0.0,
104
+ "eval_runtime": 1.7395,
105
+ "eval_samples_per_second": 458.191,
106
+ "eval_steps_per_second": 28.745,
107
+ "step": 1120
108
+ },
109
+ {
110
+ "epoch": 8.0,
111
+ "eval_accuracy": 0.9527625922190966,
112
+ "eval_f1": 0.0,
113
+ "eval_loss": 0.35134562849998474,
114
+ "eval_precision": 0.0,
115
+ "eval_recall": 0.0,
116
+ "eval_runtime": 1.7277,
117
+ "eval_samples_per_second": 461.316,
118
+ "eval_steps_per_second": 28.941,
119
+ "step": 1280
120
+ },
121
+ {
122
+ "epoch": 9.0,
123
+ "eval_accuracy": 0.9527625922190966,
124
+ "eval_f1": 0.0,
125
+ "eval_loss": 0.34404492378234863,
126
+ "eval_precision": 0.0,
127
+ "eval_recall": 0.0,
128
+ "eval_runtime": 1.696,
129
+ "eval_samples_per_second": 469.941,
130
+ "eval_steps_per_second": 29.482,
131
+ "step": 1440
132
+ },
133
+ {
134
+ "epoch": 9.375,
135
+ "grad_norm": 1.457685112953186,
136
+ "learning_rate": 1.25e-06,
137
+ "loss": 0.3631,
138
+ "step": 1500
139
+ },
140
+ {
141
+ "epoch": 10.0,
142
+ "eval_accuracy": 0.9527625922190966,
143
+ "eval_f1": 0.0,
144
+ "eval_loss": 0.34165722131729126,
145
+ "eval_precision": 0.0,
146
+ "eval_recall": 0.0,
147
+ "eval_runtime": 1.8323,
148
+ "eval_samples_per_second": 434.963,
149
+ "eval_steps_per_second": 27.288,
150
+ "step": 1600
151
+ }
152
+ ],
153
+ "logging_steps": 500,
154
+ "max_steps": 1600,
155
+ "num_input_tokens_seen": 0,
156
+ "num_train_epochs": 10,
157
+ "save_steps": 500,
158
+ "stateful_callbacks": {
159
+ "TrainerControl": {
160
+ "args": {
161
+ "should_epoch_stop": false,
162
+ "should_evaluate": false,
163
+ "should_log": false,
164
+ "should_save": true,
165
+ "should_training_stop": true
166
+ },
167
+ "attributes": {}
168
+ }
169
+ },
170
+ "total_flos": 884828390782752.0,
171
+ "train_batch_size": 16,
172
+ "trial_name": null,
173
+ "trial_params": null
174
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c7ecb64fb9dc036ce5c0d01db97231428c6dec767358e4a5be44930210cabc9f
3
+ size 5304