houssamboukhalfa commited on
Commit
4dd20f6
·
verified ·
1 Parent(s): cb702d4

Upload folder using huggingface_hub

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. telecom_arabert_final/checkpoint-3500/config.json +47 -0
  2. telecom_arabert_final/checkpoint-3500/model.safetensors +3 -0
  3. telecom_arabert_final/checkpoint-3500/optimizer.pt +3 -0
  4. telecom_arabert_final/checkpoint-3500/rng_state.pth +3 -0
  5. telecom_arabert_final/checkpoint-3500/scheduler.pt +3 -0
  6. telecom_arabert_final/checkpoint-3500/special_tokens_map.json +37 -0
  7. telecom_arabert_final/checkpoint-3500/tokenizer.json +0 -0
  8. telecom_arabert_final/checkpoint-3500/tokenizer_config.json +339 -0
  9. telecom_arabert_final/checkpoint-3500/trainer_state.json +524 -0
  10. telecom_arabert_final/checkpoint-3500/training_args.bin +3 -0
  11. telecom_arabert_final/checkpoint-3500/vocab.txt +0 -0
  12. telecom_arabert_final/checkpoint-3570/config.json +47 -0
  13. telecom_arabert_final/checkpoint-3570/model.safetensors +3 -0
  14. telecom_arabert_final/checkpoint-3570/optimizer.pt +3 -0
  15. telecom_arabert_final/checkpoint-3570/rng_state.pth +3 -0
  16. telecom_arabert_final/checkpoint-3570/scheduler.pt +3 -0
  17. telecom_arabert_final/checkpoint-3570/special_tokens_map.json +37 -0
  18. telecom_arabert_final/checkpoint-3570/tokenizer.json +0 -0
  19. telecom_arabert_final/checkpoint-3570/tokenizer_config.json +339 -0
  20. telecom_arabert_final/checkpoint-3570/trainer_state.json +531 -0
  21. telecom_arabert_final/checkpoint-3570/training_args.bin +3 -0
  22. telecom_arabert_final/checkpoint-3570/vocab.txt +0 -0
  23. telecom_arabert_final/config.json +47 -0
  24. telecom_arabert_final/model.safetensors +3 -0
  25. telecom_arabert_final/special_tokens_map.json +37 -0
  26. telecom_arabert_final/tokenizer.json +0 -0
  27. telecom_arabert_final/tokenizer_config.json +339 -0
  28. telecom_arabert_final/training_args.bin +3 -0
  29. telecom_arabert_final/vocab.txt +0 -0
  30. telecom_arabert_large_full_pipeline/checkpoint-48/config.json +54 -0
  31. telecom_arabert_large_full_pipeline/checkpoint-48/model.safetensors +3 -0
  32. telecom_arabert_large_full_pipeline/checkpoint-48/optimizer.pt +3 -0
  33. telecom_arabert_large_full_pipeline/checkpoint-48/rng_state.pth +3 -0
  34. telecom_arabert_large_full_pipeline/checkpoint-48/scheduler.pt +3 -0
  35. telecom_arabert_large_full_pipeline/checkpoint-48/special_tokens_map.json +37 -0
  36. telecom_arabert_large_full_pipeline/checkpoint-48/tokenizer.json +0 -0
  37. telecom_arabert_large_full_pipeline/checkpoint-48/tokenizer_config.json +58 -0
  38. telecom_arabert_large_full_pipeline/checkpoint-48/trainer_state.json +242 -0
  39. telecom_arabert_large_full_pipeline/checkpoint-48/training_args.bin +3 -0
  40. telecom_arabert_large_full_pipeline/checkpoint-48/vocab.txt +0 -0
  41. telecom_arabert_large_full_pipeline/checkpoint-72/config.json +54 -0
  42. telecom_arabert_large_full_pipeline/checkpoint-72/model.safetensors +3 -0
  43. telecom_arabert_large_full_pipeline/checkpoint-72/optimizer.pt +3 -0
  44. telecom_arabert_large_full_pipeline/checkpoint-72/rng_state.pth +3 -0
  45. telecom_arabert_large_full_pipeline/checkpoint-72/scheduler.pt +3 -0
  46. telecom_arabert_large_full_pipeline/checkpoint-72/special_tokens_map.json +37 -0
  47. telecom_arabert_large_full_pipeline/checkpoint-72/tokenizer.json +0 -0
  48. telecom_arabert_large_full_pipeline/checkpoint-72/tokenizer_config.json +58 -0
  49. telecom_arabert_large_full_pipeline/checkpoint-72/trainer_state.json +345 -0
  50. telecom_arabert_large_full_pipeline/checkpoint-72/training_args.bin +3 -0
telecom_arabert_final/checkpoint-3500/config.json ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "BertForSequenceClassification"
4
+ ],
5
+ "attention_probs_dropout_prob": 0.1,
6
+ "classifier_dropout": null,
7
+ "dtype": "float32",
8
+ "hidden_act": "gelu",
9
+ "hidden_dropout_prob": 0.1,
10
+ "hidden_size": 1024,
11
+ "id2label": {
12
+ "0": 1,
13
+ "1": 2,
14
+ "2": 3,
15
+ "3": 4,
16
+ "4": 5,
17
+ "5": 6,
18
+ "6": 7,
19
+ "7": 8,
20
+ "8": 9
21
+ },
22
+ "initializer_range": 0.02,
23
+ "intermediate_size": 4096,
24
+ "label2id": {
25
+ "1": 0,
26
+ "2": 1,
27
+ "3": 2,
28
+ "4": 3,
29
+ "5": 4,
30
+ "6": 5,
31
+ "7": 6,
32
+ "8": 7,
33
+ "9": 8
34
+ },
35
+ "layer_norm_eps": 1e-12,
36
+ "max_position_embeddings": 512,
37
+ "model_type": "bert",
38
+ "num_attention_heads": 16,
39
+ "num_hidden_layers": 24,
40
+ "pad_token_id": 31,
41
+ "position_embedding_type": "absolute",
42
+ "problem_type": "single_label_classification",
43
+ "transformers_version": "4.57.3",
44
+ "type_vocab_size": 2,
45
+ "use_cache": true,
46
+ "vocab_size": 64000
47
+ }
telecom_arabert_final/checkpoint-3500/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:787abfe5bb8f3fe523e638940559ac1f36cebc8fb7a2a42a0910bbff3d00832a
3
+ size 1477777444
telecom_arabert_final/checkpoint-3500/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:73339f2e9ddcdbe35863081457469e967aed6759881ac5fa45c573344484e337
3
+ size 2955795454
telecom_arabert_final/checkpoint-3500/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e732663d20c02e7eabada2dadee86f59d804a3b68cf1423a3279d070fffc3269
3
+ size 14645
telecom_arabert_final/checkpoint-3500/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fa7ee6cd5a22d1d2a1d785ebd09e035c31cb61786fe2af98d444dfeb888b1d69
3
+ size 1465
telecom_arabert_final/checkpoint-3500/special_tokens_map.json ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "cls_token": {
3
+ "content": "[CLS]",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "mask_token": {
10
+ "content": "[MASK]",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "[PAD]",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "sep_token": {
24
+ "content": "[SEP]",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ },
30
+ "unk_token": {
31
+ "content": "[UNK]",
32
+ "lstrip": false,
33
+ "normalized": false,
34
+ "rstrip": false,
35
+ "single_word": false
36
+ }
37
+ }
telecom_arabert_final/checkpoint-3500/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
telecom_arabert_final/checkpoint-3500/tokenizer_config.json ADDED
@@ -0,0 +1,339 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "added_tokens_decoder": {
3
+ "0": {
4
+ "content": "+ا",
5
+ "lstrip": false,
6
+ "normalized": true,
7
+ "rstrip": false,
8
+ "single_word": true,
9
+ "special": true
10
+ },
11
+ "1": {
12
+ "content": "+ك",
13
+ "lstrip": false,
14
+ "normalized": true,
15
+ "rstrip": false,
16
+ "single_word": true,
17
+ "special": true
18
+ },
19
+ "2": {
20
+ "content": "ب+",
21
+ "lstrip": false,
22
+ "normalized": true,
23
+ "rstrip": false,
24
+ "single_word": true,
25
+ "special": true
26
+ },
27
+ "3": {
28
+ "content": "+هم",
29
+ "lstrip": false,
30
+ "normalized": true,
31
+ "rstrip": false,
32
+ "single_word": true,
33
+ "special": true
34
+ },
35
+ "4": {
36
+ "content": "+ات",
37
+ "lstrip": false,
38
+ "normalized": true,
39
+ "rstrip": false,
40
+ "single_word": true,
41
+ "special": true
42
+ },
43
+ "5": {
44
+ "content": "+ي",
45
+ "lstrip": false,
46
+ "normalized": true,
47
+ "rstrip": false,
48
+ "single_word": true,
49
+ "special": true
50
+ },
51
+ "6": {
52
+ "content": "ل+",
53
+ "lstrip": false,
54
+ "normalized": true,
55
+ "rstrip": false,
56
+ "single_word": true,
57
+ "special": true
58
+ },
59
+ "7": {
60
+ "content": "+هما",
61
+ "lstrip": false,
62
+ "normalized": true,
63
+ "rstrip": false,
64
+ "single_word": true,
65
+ "special": true
66
+ },
67
+ "8": {
68
+ "content": "+نا",
69
+ "lstrip": false,
70
+ "normalized": true,
71
+ "rstrip": false,
72
+ "single_word": true,
73
+ "special": true
74
+ },
75
+ "9": {
76
+ "content": "+ن",
77
+ "lstrip": false,
78
+ "normalized": true,
79
+ "rstrip": false,
80
+ "single_word": true,
81
+ "special": true
82
+ },
83
+ "10": {
84
+ "content": "+ها",
85
+ "lstrip": false,
86
+ "normalized": true,
87
+ "rstrip": false,
88
+ "single_word": true,
89
+ "special": true
90
+ },
91
+ "11": {
92
+ "content": "+كما",
93
+ "lstrip": false,
94
+ "normalized": true,
95
+ "rstrip": false,
96
+ "single_word": true,
97
+ "special": true
98
+ },
99
+ "12": {
100
+ "content": "+ة",
101
+ "lstrip": false,
102
+ "normalized": true,
103
+ "rstrip": false,
104
+ "single_word": true,
105
+ "special": true
106
+ },
107
+ "13": {
108
+ "content": "ف+",
109
+ "lstrip": false,
110
+ "normalized": true,
111
+ "rstrip": false,
112
+ "single_word": true,
113
+ "special": true
114
+ },
115
+ "14": {
116
+ "content": "+كم",
117
+ "lstrip": false,
118
+ "normalized": true,
119
+ "rstrip": false,
120
+ "single_word": true,
121
+ "special": true
122
+ },
123
+ "15": {
124
+ "content": "+كن",
125
+ "lstrip": false,
126
+ "normalized": true,
127
+ "rstrip": false,
128
+ "single_word": true,
129
+ "special": true
130
+ },
131
+ "16": {
132
+ "content": "+ت",
133
+ "lstrip": false,
134
+ "normalized": true,
135
+ "rstrip": false,
136
+ "single_word": true,
137
+ "special": true
138
+ },
139
+ "17": {
140
+ "content": "[بريد]",
141
+ "lstrip": false,
142
+ "normalized": true,
143
+ "rstrip": false,
144
+ "single_word": true,
145
+ "special": true
146
+ },
147
+ "18": {
148
+ "content": "[مستخدم]",
149
+ "lstrip": false,
150
+ "normalized": true,
151
+ "rstrip": false,
152
+ "single_word": true,
153
+ "special": true
154
+ },
155
+ "19": {
156
+ "content": "لل+",
157
+ "lstrip": false,
158
+ "normalized": true,
159
+ "rstrip": false,
160
+ "single_word": true,
161
+ "special": true
162
+ },
163
+ "20": {
164
+ "content": "ال+",
165
+ "lstrip": false,
166
+ "normalized": true,
167
+ "rstrip": false,
168
+ "single_word": true,
169
+ "special": true
170
+ },
171
+ "21": {
172
+ "content": "[رابط]",
173
+ "lstrip": false,
174
+ "normalized": true,
175
+ "rstrip": false,
176
+ "single_word": true,
177
+ "special": true
178
+ },
179
+ "22": {
180
+ "content": "س+",
181
+ "lstrip": false,
182
+ "normalized": true,
183
+ "rstrip": false,
184
+ "single_word": true,
185
+ "special": true
186
+ },
187
+ "23": {
188
+ "content": "+ان",
189
+ "lstrip": false,
190
+ "normalized": true,
191
+ "rstrip": false,
192
+ "single_word": true,
193
+ "special": true
194
+ },
195
+ "24": {
196
+ "content": "+وا",
197
+ "lstrip": false,
198
+ "normalized": true,
199
+ "rstrip": false,
200
+ "single_word": true,
201
+ "special": true
202
+ },
203
+ "25": {
204
+ "content": "+ه",
205
+ "lstrip": false,
206
+ "normalized": true,
207
+ "rstrip": false,
208
+ "single_word": true,
209
+ "special": true
210
+ },
211
+ "26": {
212
+ "content": "+ون",
213
+ "lstrip": false,
214
+ "normalized": true,
215
+ "rstrip": false,
216
+ "single_word": true,
217
+ "special": true
218
+ },
219
+ "27": {
220
+ "content": "+هن",
221
+ "lstrip": false,
222
+ "normalized": true,
223
+ "rstrip": false,
224
+ "single_word": true,
225
+ "special": true
226
+ },
227
+ "28": {
228
+ "content": "+ين",
229
+ "lstrip": false,
230
+ "normalized": true,
231
+ "rstrip": false,
232
+ "single_word": true,
233
+ "special": true
234
+ },
235
+ "29": {
236
+ "content": "��+",
237
+ "lstrip": false,
238
+ "normalized": true,
239
+ "rstrip": false,
240
+ "single_word": true,
241
+ "special": true
242
+ },
243
+ "30": {
244
+ "content": "ك+",
245
+ "lstrip": false,
246
+ "normalized": true,
247
+ "rstrip": false,
248
+ "single_word": true,
249
+ "special": true
250
+ },
251
+ "31": {
252
+ "content": "[PAD]",
253
+ "lstrip": false,
254
+ "normalized": false,
255
+ "rstrip": false,
256
+ "single_word": false,
257
+ "special": true
258
+ },
259
+ "32": {
260
+ "content": "[UNK]",
261
+ "lstrip": false,
262
+ "normalized": false,
263
+ "rstrip": false,
264
+ "single_word": false,
265
+ "special": true
266
+ },
267
+ "33": {
268
+ "content": "[CLS]",
269
+ "lstrip": false,
270
+ "normalized": false,
271
+ "rstrip": false,
272
+ "single_word": false,
273
+ "special": true
274
+ },
275
+ "34": {
276
+ "content": "[SEP]",
277
+ "lstrip": false,
278
+ "normalized": false,
279
+ "rstrip": false,
280
+ "single_word": false,
281
+ "special": true
282
+ },
283
+ "35": {
284
+ "content": "[MASK]",
285
+ "lstrip": false,
286
+ "normalized": false,
287
+ "rstrip": false,
288
+ "single_word": false,
289
+ "special": true
290
+ }
291
+ },
292
+ "clean_up_tokenization_spaces": false,
293
+ "cls_token": "[CLS]",
294
+ "do_basic_tokenize": true,
295
+ "do_lower_case": false,
296
+ "extra_special_tokens": {},
297
+ "mask_token": "[MASK]",
298
+ "max_len": 512,
299
+ "model_max_length": 512,
300
+ "never_split": [
301
+ "+ك",
302
+ "+كما",
303
+ "ك+",
304
+ "+وا",
305
+ "+ين",
306
+ "و+",
307
+ "+كن",
308
+ "+ان",
309
+ "+هم",
310
+ "+ة",
311
+ "[بريد]",
312
+ "لل+",
313
+ "+ي",
314
+ "+ت",
315
+ "+ن",
316
+ "س+",
317
+ "ل+",
318
+ "[مستخدم]",
319
+ "+كم",
320
+ "+ا",
321
+ "ب+",
322
+ "ف+",
323
+ "+نا",
324
+ "+ها",
325
+ "+ون",
326
+ "+هما",
327
+ "ال+",
328
+ "+ه",
329
+ "+هن",
330
+ "+ات",
331
+ "[رابط]"
332
+ ],
333
+ "pad_token": "[PAD]",
334
+ "sep_token": "[SEP]",
335
+ "strip_accents": null,
336
+ "tokenize_chinese_chars": true,
337
+ "tokenizer_class": "BertTokenizer",
338
+ "unk_token": "[UNK]"
339
+ }
telecom_arabert_final/checkpoint-3500/trainer_state.json ADDED
@@ -0,0 +1,524 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 68.62745098039215,
6
+ "eval_steps": 500,
7
+ "global_step": 3500,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.9803921568627451,
14
+ "grad_norm": 11.002342224121094,
15
+ "learning_rate": 1.3725490196078432e-05,
16
+ "loss": 2.3419,
17
+ "step": 50
18
+ },
19
+ {
20
+ "epoch": 1.9607843137254903,
21
+ "grad_norm": 29.423385620117188,
22
+ "learning_rate": 2.773109243697479e-05,
23
+ "loss": 2.1727,
24
+ "step": 100
25
+ },
26
+ {
27
+ "epoch": 2.9411764705882355,
28
+ "grad_norm": 26.981374740600586,
29
+ "learning_rate": 4.173669467787115e-05,
30
+ "loss": 2.0203,
31
+ "step": 150
32
+ },
33
+ {
34
+ "epoch": 3.9215686274509802,
35
+ "grad_norm": 13.149168968200684,
36
+ "learning_rate": 5.574229691876751e-05,
37
+ "loss": 1.688,
38
+ "step": 200
39
+ },
40
+ {
41
+ "epoch": 4.901960784313726,
42
+ "grad_norm": 4.1570916175842285,
43
+ "learning_rate": 6.974789915966386e-05,
44
+ "loss": 2.1775,
45
+ "step": 250
46
+ },
47
+ {
48
+ "epoch": 5.882352941176471,
49
+ "grad_norm": 7.508273124694824,
50
+ "learning_rate": 8.375350140056023e-05,
51
+ "loss": 2.2603,
52
+ "step": 300
53
+ },
54
+ {
55
+ "epoch": 6.862745098039216,
56
+ "grad_norm": 5.582854270935059,
57
+ "learning_rate": 9.775910364145658e-05,
58
+ "loss": 2.2469,
59
+ "step": 350
60
+ },
61
+ {
62
+ "epoch": 7.8431372549019605,
63
+ "grad_norm": 6.001800060272217,
64
+ "learning_rate": 9.869281045751635e-05,
65
+ "loss": 2.2533,
66
+ "step": 400
67
+ },
68
+ {
69
+ "epoch": 8.823529411764707,
70
+ "grad_norm": 6.843214511871338,
71
+ "learning_rate": 9.713663243075009e-05,
72
+ "loss": 2.2437,
73
+ "step": 450
74
+ },
75
+ {
76
+ "epoch": 9.803921568627452,
77
+ "grad_norm": 6.001797676086426,
78
+ "learning_rate": 9.558045440398382e-05,
79
+ "loss": 2.2406,
80
+ "step": 500
81
+ },
82
+ {
83
+ "epoch": 10.784313725490197,
84
+ "grad_norm": 4.675999164581299,
85
+ "learning_rate": 9.402427637721756e-05,
86
+ "loss": 2.2353,
87
+ "step": 550
88
+ },
89
+ {
90
+ "epoch": 11.764705882352942,
91
+ "grad_norm": 6.9409966468811035,
92
+ "learning_rate": 9.246809835045129e-05,
93
+ "loss": 2.2288,
94
+ "step": 600
95
+ },
96
+ {
97
+ "epoch": 12.745098039215687,
98
+ "grad_norm": 7.809481143951416,
99
+ "learning_rate": 9.091192032368503e-05,
100
+ "loss": 2.237,
101
+ "step": 650
102
+ },
103
+ {
104
+ "epoch": 13.72549019607843,
105
+ "grad_norm": 5.771924018859863,
106
+ "learning_rate": 8.935574229691877e-05,
107
+ "loss": 2.234,
108
+ "step": 700
109
+ },
110
+ {
111
+ "epoch": 14.705882352941176,
112
+ "grad_norm": 3.7695183753967285,
113
+ "learning_rate": 8.779956427015251e-05,
114
+ "loss": 2.2398,
115
+ "step": 750
116
+ },
117
+ {
118
+ "epoch": 15.686274509803921,
119
+ "grad_norm": 5.8638529777526855,
120
+ "learning_rate": 8.624338624338625e-05,
121
+ "loss": 2.2241,
122
+ "step": 800
123
+ },
124
+ {
125
+ "epoch": 16.666666666666668,
126
+ "grad_norm": 7.440635681152344,
127
+ "learning_rate": 8.468720821661998e-05,
128
+ "loss": 2.2256,
129
+ "step": 850
130
+ },
131
+ {
132
+ "epoch": 17.647058823529413,
133
+ "grad_norm": 4.2441182136535645,
134
+ "learning_rate": 8.313103018985372e-05,
135
+ "loss": 2.2298,
136
+ "step": 900
137
+ },
138
+ {
139
+ "epoch": 18.627450980392158,
140
+ "grad_norm": 7.42420768737793,
141
+ "learning_rate": 8.157485216308745e-05,
142
+ "loss": 2.2233,
143
+ "step": 950
144
+ },
145
+ {
146
+ "epoch": 19.607843137254903,
147
+ "grad_norm": 4.213704586029053,
148
+ "learning_rate": 8.001867413632121e-05,
149
+ "loss": 2.2313,
150
+ "step": 1000
151
+ },
152
+ {
153
+ "epoch": 20.58823529411765,
154
+ "grad_norm": 6.308703422546387,
155
+ "learning_rate": 7.846249610955494e-05,
156
+ "loss": 2.2259,
157
+ "step": 1050
158
+ },
159
+ {
160
+ "epoch": 21.568627450980394,
161
+ "grad_norm": 8.95936393737793,
162
+ "learning_rate": 7.690631808278868e-05,
163
+ "loss": 2.2334,
164
+ "step": 1100
165
+ },
166
+ {
167
+ "epoch": 22.54901960784314,
168
+ "grad_norm": 7.726138591766357,
169
+ "learning_rate": 7.53501400560224e-05,
170
+ "loss": 2.2271,
171
+ "step": 1150
172
+ },
173
+ {
174
+ "epoch": 23.529411764705884,
175
+ "grad_norm": 5.980637550354004,
176
+ "learning_rate": 7.379396202925615e-05,
177
+ "loss": 2.2278,
178
+ "step": 1200
179
+ },
180
+ {
181
+ "epoch": 24.509803921568626,
182
+ "grad_norm": 5.208985805511475,
183
+ "learning_rate": 7.223778400248989e-05,
184
+ "loss": 2.2258,
185
+ "step": 1250
186
+ },
187
+ {
188
+ "epoch": 25.49019607843137,
189
+ "grad_norm": 3.785893678665161,
190
+ "learning_rate": 7.068160597572363e-05,
191
+ "loss": 2.2354,
192
+ "step": 1300
193
+ },
194
+ {
195
+ "epoch": 26.470588235294116,
196
+ "grad_norm": 7.314659595489502,
197
+ "learning_rate": 6.912542794895737e-05,
198
+ "loss": 2.2371,
199
+ "step": 1350
200
+ },
201
+ {
202
+ "epoch": 27.45098039215686,
203
+ "grad_norm": 5.165799617767334,
204
+ "learning_rate": 6.75692499221911e-05,
205
+ "loss": 2.2302,
206
+ "step": 1400
207
+ },
208
+ {
209
+ "epoch": 28.431372549019606,
210
+ "grad_norm": 6.496328353881836,
211
+ "learning_rate": 6.601307189542484e-05,
212
+ "loss": 2.2252,
213
+ "step": 1450
214
+ },
215
+ {
216
+ "epoch": 29.41176470588235,
217
+ "grad_norm": 3.1437888145446777,
218
+ "learning_rate": 6.445689386865857e-05,
219
+ "loss": 2.2292,
220
+ "step": 1500
221
+ },
222
+ {
223
+ "epoch": 30.392156862745097,
224
+ "grad_norm": 5.930662631988525,
225
+ "learning_rate": 6.290071584189231e-05,
226
+ "loss": 2.2307,
227
+ "step": 1550
228
+ },
229
+ {
230
+ "epoch": 31.372549019607842,
231
+ "grad_norm": 6.53542947769165,
232
+ "learning_rate": 6.134453781512605e-05,
233
+ "loss": 2.2195,
234
+ "step": 1600
235
+ },
236
+ {
237
+ "epoch": 32.35294117647059,
238
+ "grad_norm": 6.8471198081970215,
239
+ "learning_rate": 5.9788359788359794e-05,
240
+ "loss": 2.2292,
241
+ "step": 1650
242
+ },
243
+ {
244
+ "epoch": 33.333333333333336,
245
+ "grad_norm": 5.49623441696167,
246
+ "learning_rate": 5.823218176159353e-05,
247
+ "loss": 2.2269,
248
+ "step": 1700
249
+ },
250
+ {
251
+ "epoch": 34.31372549019608,
252
+ "grad_norm": 3.214643716812134,
253
+ "learning_rate": 5.6676003734827264e-05,
254
+ "loss": 2.2251,
255
+ "step": 1750
256
+ },
257
+ {
258
+ "epoch": 35.294117647058826,
259
+ "grad_norm": 6.643034934997559,
260
+ "learning_rate": 5.5119825708061e-05,
261
+ "loss": 2.2226,
262
+ "step": 1800
263
+ },
264
+ {
265
+ "epoch": 36.27450980392157,
266
+ "grad_norm": 5.6264753341674805,
267
+ "learning_rate": 5.356364768129474e-05,
268
+ "loss": 2.221,
269
+ "step": 1850
270
+ },
271
+ {
272
+ "epoch": 37.254901960784316,
273
+ "grad_norm": 5.2604265213012695,
274
+ "learning_rate": 5.200746965452848e-05,
275
+ "loss": 2.2268,
276
+ "step": 1900
277
+ },
278
+ {
279
+ "epoch": 38.23529411764706,
280
+ "grad_norm": 3.1051926612854004,
281
+ "learning_rate": 5.045129162776222e-05,
282
+ "loss": 2.2193,
283
+ "step": 1950
284
+ },
285
+ {
286
+ "epoch": 39.21568627450981,
287
+ "grad_norm": 5.157900333404541,
288
+ "learning_rate": 4.889511360099596e-05,
289
+ "loss": 2.2209,
290
+ "step": 2000
291
+ },
292
+ {
293
+ "epoch": 40.19607843137255,
294
+ "grad_norm": 6.348704814910889,
295
+ "learning_rate": 4.7338935574229694e-05,
296
+ "loss": 2.2401,
297
+ "step": 2050
298
+ },
299
+ {
300
+ "epoch": 41.1764705882353,
301
+ "grad_norm": 6.165525436401367,
302
+ "learning_rate": 4.5782757547463436e-05,
303
+ "loss": 2.2289,
304
+ "step": 2100
305
+ },
306
+ {
307
+ "epoch": 42.15686274509804,
308
+ "grad_norm": 3.2731242179870605,
309
+ "learning_rate": 4.422657952069717e-05,
310
+ "loss": 2.222,
311
+ "step": 2150
312
+ },
313
+ {
314
+ "epoch": 43.13725490196079,
315
+ "grad_norm": 4.991629123687744,
316
+ "learning_rate": 4.2670401493930905e-05,
317
+ "loss": 2.213,
318
+ "step": 2200
319
+ },
320
+ {
321
+ "epoch": 44.11764705882353,
322
+ "grad_norm": 5.966474533081055,
323
+ "learning_rate": 4.111422346716465e-05,
324
+ "loss": 2.2211,
325
+ "step": 2250
326
+ },
327
+ {
328
+ "epoch": 45.09803921568628,
329
+ "grad_norm": 6.867234230041504,
330
+ "learning_rate": 3.955804544039838e-05,
331
+ "loss": 2.2265,
332
+ "step": 2300
333
+ },
334
+ {
335
+ "epoch": 46.07843137254902,
336
+ "grad_norm": 5.227305889129639,
337
+ "learning_rate": 3.800186741363212e-05,
338
+ "loss": 2.219,
339
+ "step": 2350
340
+ },
341
+ {
342
+ "epoch": 47.05882352941177,
343
+ "grad_norm": 4.603776931762695,
344
+ "learning_rate": 3.644568938686586e-05,
345
+ "loss": 2.22,
346
+ "step": 2400
347
+ },
348
+ {
349
+ "epoch": 48.03921568627451,
350
+ "grad_norm": 6.5035858154296875,
351
+ "learning_rate": 3.48895113600996e-05,
352
+ "loss": 2.2192,
353
+ "step": 2450
354
+ },
355
+ {
356
+ "epoch": 49.01960784313726,
357
+ "grad_norm": 7.140364170074463,
358
+ "learning_rate": 3.3333333333333335e-05,
359
+ "loss": 2.2181,
360
+ "step": 2500
361
+ },
362
+ {
363
+ "epoch": 50.0,
364
+ "grad_norm": 10.780461311340332,
365
+ "learning_rate": 3.1777155306567077e-05,
366
+ "loss": 2.2234,
367
+ "step": 2550
368
+ },
369
+ {
370
+ "epoch": 50.98039215686274,
371
+ "grad_norm": 4.444032669067383,
372
+ "learning_rate": 3.022097727980081e-05,
373
+ "loss": 2.2186,
374
+ "step": 2600
375
+ },
376
+ {
377
+ "epoch": 51.96078431372549,
378
+ "grad_norm": 3.78542160987854,
379
+ "learning_rate": 2.8664799253034546e-05,
380
+ "loss": 2.2215,
381
+ "step": 2650
382
+ },
383
+ {
384
+ "epoch": 52.94117647058823,
385
+ "grad_norm": 5.9261322021484375,
386
+ "learning_rate": 2.7108621226268288e-05,
387
+ "loss": 2.2197,
388
+ "step": 2700
389
+ },
390
+ {
391
+ "epoch": 53.92156862745098,
392
+ "grad_norm": 3.300880193710327,
393
+ "learning_rate": 2.5552443199502023e-05,
394
+ "loss": 2.2125,
395
+ "step": 2750
396
+ },
397
+ {
398
+ "epoch": 54.90196078431372,
399
+ "grad_norm": 5.05993127822876,
400
+ "learning_rate": 2.3996265172735765e-05,
401
+ "loss": 2.2114,
402
+ "step": 2800
403
+ },
404
+ {
405
+ "epoch": 55.88235294117647,
406
+ "grad_norm": 5.635678768157959,
407
+ "learning_rate": 2.24400871459695e-05,
408
+ "loss": 2.2213,
409
+ "step": 2850
410
+ },
411
+ {
412
+ "epoch": 56.86274509803921,
413
+ "grad_norm": 6.652504920959473,
414
+ "learning_rate": 2.0883909119203238e-05,
415
+ "loss": 2.2239,
416
+ "step": 2900
417
+ },
418
+ {
419
+ "epoch": 57.84313725490196,
420
+ "grad_norm": 7.9634623527526855,
421
+ "learning_rate": 1.9327731092436976e-05,
422
+ "loss": 2.2289,
423
+ "step": 2950
424
+ },
425
+ {
426
+ "epoch": 58.8235294117647,
427
+ "grad_norm": 5.01388692855835,
428
+ "learning_rate": 1.777155306567071e-05,
429
+ "loss": 2.2282,
430
+ "step": 3000
431
+ },
432
+ {
433
+ "epoch": 59.80392156862745,
434
+ "grad_norm": 4.071011066436768,
435
+ "learning_rate": 1.6215375038904453e-05,
436
+ "loss": 2.225,
437
+ "step": 3050
438
+ },
439
+ {
440
+ "epoch": 60.78431372549019,
441
+ "grad_norm": 4.984341621398926,
442
+ "learning_rate": 1.4659197012138189e-05,
443
+ "loss": 2.2174,
444
+ "step": 3100
445
+ },
446
+ {
447
+ "epoch": 61.76470588235294,
448
+ "grad_norm": 5.719054698944092,
449
+ "learning_rate": 1.3103018985371926e-05,
450
+ "loss": 2.2223,
451
+ "step": 3150
452
+ },
453
+ {
454
+ "epoch": 62.745098039215684,
455
+ "grad_norm": 4.165637016296387,
456
+ "learning_rate": 1.1546840958605664e-05,
457
+ "loss": 2.2154,
458
+ "step": 3200
459
+ },
460
+ {
461
+ "epoch": 63.72549019607843,
462
+ "grad_norm": 6.845320224761963,
463
+ "learning_rate": 9.990662931839404e-06,
464
+ "loss": 2.2144,
465
+ "step": 3250
466
+ },
467
+ {
468
+ "epoch": 64.70588235294117,
469
+ "grad_norm": 4.848325252532959,
470
+ "learning_rate": 8.43448490507314e-06,
471
+ "loss": 2.2189,
472
+ "step": 3300
473
+ },
474
+ {
475
+ "epoch": 65.68627450980392,
476
+ "grad_norm": 7.032234191894531,
477
+ "learning_rate": 6.878306878306878e-06,
478
+ "loss": 2.2217,
479
+ "step": 3350
480
+ },
481
+ {
482
+ "epoch": 66.66666666666667,
483
+ "grad_norm": 3.573167085647583,
484
+ "learning_rate": 5.322128851540616e-06,
485
+ "loss": 2.2184,
486
+ "step": 3400
487
+ },
488
+ {
489
+ "epoch": 67.6470588235294,
490
+ "grad_norm": 5.0887885093688965,
491
+ "learning_rate": 3.7659508247743545e-06,
492
+ "loss": 2.217,
493
+ "step": 3450
494
+ },
495
+ {
496
+ "epoch": 68.62745098039215,
497
+ "grad_norm": 4.107006549835205,
498
+ "learning_rate": 2.209772798008092e-06,
499
+ "loss": 2.2137,
500
+ "step": 3500
501
+ }
502
+ ],
503
+ "logging_steps": 50,
504
+ "max_steps": 3570,
505
+ "num_input_tokens_seen": 0,
506
+ "num_train_epochs": 70,
507
+ "save_steps": 500,
508
+ "stateful_callbacks": {
509
+ "TrainerControl": {
510
+ "args": {
511
+ "should_epoch_stop": false,
512
+ "should_evaluate": false,
513
+ "should_log": false,
514
+ "should_save": true,
515
+ "should_training_stop": false
516
+ },
517
+ "attributes": {}
518
+ }
519
+ },
520
+ "total_flos": 5.152397594484941e+16,
521
+ "train_batch_size": 32,
522
+ "trial_name": null,
523
+ "trial_params": null
524
+ }
telecom_arabert_final/checkpoint-3500/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f404697feee606a570b4c324874ebe1d187761105966fe2473f0e223ba2c5b60
3
+ size 5841
telecom_arabert_final/checkpoint-3500/vocab.txt ADDED
The diff for this file is too large to render. See raw diff
 
telecom_arabert_final/checkpoint-3570/config.json ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "BertForSequenceClassification"
4
+ ],
5
+ "attention_probs_dropout_prob": 0.1,
6
+ "classifier_dropout": null,
7
+ "dtype": "float32",
8
+ "hidden_act": "gelu",
9
+ "hidden_dropout_prob": 0.1,
10
+ "hidden_size": 1024,
11
+ "id2label": {
12
+ "0": 1,
13
+ "1": 2,
14
+ "2": 3,
15
+ "3": 4,
16
+ "4": 5,
17
+ "5": 6,
18
+ "6": 7,
19
+ "7": 8,
20
+ "8": 9
21
+ },
22
+ "initializer_range": 0.02,
23
+ "intermediate_size": 4096,
24
+ "label2id": {
25
+ "1": 0,
26
+ "2": 1,
27
+ "3": 2,
28
+ "4": 3,
29
+ "5": 4,
30
+ "6": 5,
31
+ "7": 6,
32
+ "8": 7,
33
+ "9": 8
34
+ },
35
+ "layer_norm_eps": 1e-12,
36
+ "max_position_embeddings": 512,
37
+ "model_type": "bert",
38
+ "num_attention_heads": 16,
39
+ "num_hidden_layers": 24,
40
+ "pad_token_id": 31,
41
+ "position_embedding_type": "absolute",
42
+ "problem_type": "single_label_classification",
43
+ "transformers_version": "4.57.3",
44
+ "type_vocab_size": 2,
45
+ "use_cache": true,
46
+ "vocab_size": 64000
47
+ }
telecom_arabert_final/checkpoint-3570/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d93707e820c2358b259f9fbc6bccdc94db28d36fdf85a1f7fee6f2d664a534a5
3
+ size 1477777444
telecom_arabert_final/checkpoint-3570/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:45e1d87035bd055c7d4208b97fce6f286bcb4d24b5038893895234fc044febae
3
+ size 2955795454
telecom_arabert_final/checkpoint-3570/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5e53609e170b8ad1794f20ce93a33016717728f19d3b7bed7de5ad7037c6d4b2
3
+ size 14645
telecom_arabert_final/checkpoint-3570/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2c9cd677a65bc06d25cfe0cd4edfa3ba4f94ffaf30bb5f6f3486d155d9f361e5
3
+ size 1465
telecom_arabert_final/checkpoint-3570/special_tokens_map.json ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "cls_token": {
3
+ "content": "[CLS]",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "mask_token": {
10
+ "content": "[MASK]",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "[PAD]",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "sep_token": {
24
+ "content": "[SEP]",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ },
30
+ "unk_token": {
31
+ "content": "[UNK]",
32
+ "lstrip": false,
33
+ "normalized": false,
34
+ "rstrip": false,
35
+ "single_word": false
36
+ }
37
+ }
telecom_arabert_final/checkpoint-3570/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
telecom_arabert_final/checkpoint-3570/tokenizer_config.json ADDED
@@ -0,0 +1,339 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "added_tokens_decoder": {
3
+ "0": {
4
+ "content": "+ا",
5
+ "lstrip": false,
6
+ "normalized": true,
7
+ "rstrip": false,
8
+ "single_word": true,
9
+ "special": true
10
+ },
11
+ "1": {
12
+ "content": "+ك",
13
+ "lstrip": false,
14
+ "normalized": true,
15
+ "rstrip": false,
16
+ "single_word": true,
17
+ "special": true
18
+ },
19
+ "2": {
20
+ "content": "ب+",
21
+ "lstrip": false,
22
+ "normalized": true,
23
+ "rstrip": false,
24
+ "single_word": true,
25
+ "special": true
26
+ },
27
+ "3": {
28
+ "content": "+هم",
29
+ "lstrip": false,
30
+ "normalized": true,
31
+ "rstrip": false,
32
+ "single_word": true,
33
+ "special": true
34
+ },
35
+ "4": {
36
+ "content": "+ات",
37
+ "lstrip": false,
38
+ "normalized": true,
39
+ "rstrip": false,
40
+ "single_word": true,
41
+ "special": true
42
+ },
43
+ "5": {
44
+ "content": "+ي",
45
+ "lstrip": false,
46
+ "normalized": true,
47
+ "rstrip": false,
48
+ "single_word": true,
49
+ "special": true
50
+ },
51
+ "6": {
52
+ "content": "ل+",
53
+ "lstrip": false,
54
+ "normalized": true,
55
+ "rstrip": false,
56
+ "single_word": true,
57
+ "special": true
58
+ },
59
+ "7": {
60
+ "content": "+هما",
61
+ "lstrip": false,
62
+ "normalized": true,
63
+ "rstrip": false,
64
+ "single_word": true,
65
+ "special": true
66
+ },
67
+ "8": {
68
+ "content": "+نا",
69
+ "lstrip": false,
70
+ "normalized": true,
71
+ "rstrip": false,
72
+ "single_word": true,
73
+ "special": true
74
+ },
75
+ "9": {
76
+ "content": "+ن",
77
+ "lstrip": false,
78
+ "normalized": true,
79
+ "rstrip": false,
80
+ "single_word": true,
81
+ "special": true
82
+ },
83
+ "10": {
84
+ "content": "+ها",
85
+ "lstrip": false,
86
+ "normalized": true,
87
+ "rstrip": false,
88
+ "single_word": true,
89
+ "special": true
90
+ },
91
+ "11": {
92
+ "content": "+كما",
93
+ "lstrip": false,
94
+ "normalized": true,
95
+ "rstrip": false,
96
+ "single_word": true,
97
+ "special": true
98
+ },
99
+ "12": {
100
+ "content": "+ة",
101
+ "lstrip": false,
102
+ "normalized": true,
103
+ "rstrip": false,
104
+ "single_word": true,
105
+ "special": true
106
+ },
107
+ "13": {
108
+ "content": "ف+",
109
+ "lstrip": false,
110
+ "normalized": true,
111
+ "rstrip": false,
112
+ "single_word": true,
113
+ "special": true
114
+ },
115
+ "14": {
116
+ "content": "+كم",
117
+ "lstrip": false,
118
+ "normalized": true,
119
+ "rstrip": false,
120
+ "single_word": true,
121
+ "special": true
122
+ },
123
+ "15": {
124
+ "content": "+كن",
125
+ "lstrip": false,
126
+ "normalized": true,
127
+ "rstrip": false,
128
+ "single_word": true,
129
+ "special": true
130
+ },
131
+ "16": {
132
+ "content": "+ت",
133
+ "lstrip": false,
134
+ "normalized": true,
135
+ "rstrip": false,
136
+ "single_word": true,
137
+ "special": true
138
+ },
139
+ "17": {
140
+ "content": "[بريد]",
141
+ "lstrip": false,
142
+ "normalized": true,
143
+ "rstrip": false,
144
+ "single_word": true,
145
+ "special": true
146
+ },
147
+ "18": {
148
+ "content": "[مستخدم]",
149
+ "lstrip": false,
150
+ "normalized": true,
151
+ "rstrip": false,
152
+ "single_word": true,
153
+ "special": true
154
+ },
155
+ "19": {
156
+ "content": "لل+",
157
+ "lstrip": false,
158
+ "normalized": true,
159
+ "rstrip": false,
160
+ "single_word": true,
161
+ "special": true
162
+ },
163
+ "20": {
164
+ "content": "ال+",
165
+ "lstrip": false,
166
+ "normalized": true,
167
+ "rstrip": false,
168
+ "single_word": true,
169
+ "special": true
170
+ },
171
+ "21": {
172
+ "content": "[رابط]",
173
+ "lstrip": false,
174
+ "normalized": true,
175
+ "rstrip": false,
176
+ "single_word": true,
177
+ "special": true
178
+ },
179
+ "22": {
180
+ "content": "س+",
181
+ "lstrip": false,
182
+ "normalized": true,
183
+ "rstrip": false,
184
+ "single_word": true,
185
+ "special": true
186
+ },
187
+ "23": {
188
+ "content": "+ان",
189
+ "lstrip": false,
190
+ "normalized": true,
191
+ "rstrip": false,
192
+ "single_word": true,
193
+ "special": true
194
+ },
195
+ "24": {
196
+ "content": "+وا",
197
+ "lstrip": false,
198
+ "normalized": true,
199
+ "rstrip": false,
200
+ "single_word": true,
201
+ "special": true
202
+ },
203
+ "25": {
204
+ "content": "+ه",
205
+ "lstrip": false,
206
+ "normalized": true,
207
+ "rstrip": false,
208
+ "single_word": true,
209
+ "special": true
210
+ },
211
+ "26": {
212
+ "content": "+ون",
213
+ "lstrip": false,
214
+ "normalized": true,
215
+ "rstrip": false,
216
+ "single_word": true,
217
+ "special": true
218
+ },
219
+ "27": {
220
+ "content": "+هن",
221
+ "lstrip": false,
222
+ "normalized": true,
223
+ "rstrip": false,
224
+ "single_word": true,
225
+ "special": true
226
+ },
227
+ "28": {
228
+ "content": "+ين",
229
+ "lstrip": false,
230
+ "normalized": true,
231
+ "rstrip": false,
232
+ "single_word": true,
233
+ "special": true
234
+ },
235
+ "29": {
236
+ "content": "��+",
237
+ "lstrip": false,
238
+ "normalized": true,
239
+ "rstrip": false,
240
+ "single_word": true,
241
+ "special": true
242
+ },
243
+ "30": {
244
+ "content": "ك+",
245
+ "lstrip": false,
246
+ "normalized": true,
247
+ "rstrip": false,
248
+ "single_word": true,
249
+ "special": true
250
+ },
251
+ "31": {
252
+ "content": "[PAD]",
253
+ "lstrip": false,
254
+ "normalized": false,
255
+ "rstrip": false,
256
+ "single_word": false,
257
+ "special": true
258
+ },
259
+ "32": {
260
+ "content": "[UNK]",
261
+ "lstrip": false,
262
+ "normalized": false,
263
+ "rstrip": false,
264
+ "single_word": false,
265
+ "special": true
266
+ },
267
+ "33": {
268
+ "content": "[CLS]",
269
+ "lstrip": false,
270
+ "normalized": false,
271
+ "rstrip": false,
272
+ "single_word": false,
273
+ "special": true
274
+ },
275
+ "34": {
276
+ "content": "[SEP]",
277
+ "lstrip": false,
278
+ "normalized": false,
279
+ "rstrip": false,
280
+ "single_word": false,
281
+ "special": true
282
+ },
283
+ "35": {
284
+ "content": "[MASK]",
285
+ "lstrip": false,
286
+ "normalized": false,
287
+ "rstrip": false,
288
+ "single_word": false,
289
+ "special": true
290
+ }
291
+ },
292
+ "clean_up_tokenization_spaces": false,
293
+ "cls_token": "[CLS]",
294
+ "do_basic_tokenize": true,
295
+ "do_lower_case": false,
296
+ "extra_special_tokens": {},
297
+ "mask_token": "[MASK]",
298
+ "max_len": 512,
299
+ "model_max_length": 512,
300
+ "never_split": [
301
+ "+ك",
302
+ "+كما",
303
+ "ك+",
304
+ "+وا",
305
+ "+ين",
306
+ "و+",
307
+ "+كن",
308
+ "+ان",
309
+ "+هم",
310
+ "+ة",
311
+ "[بريد]",
312
+ "لل+",
313
+ "+ي",
314
+ "+ت",
315
+ "+ن",
316
+ "س+",
317
+ "ل+",
318
+ "[مستخدم]",
319
+ "+كم",
320
+ "+ا",
321
+ "ب+",
322
+ "ف+",
323
+ "+نا",
324
+ "+ها",
325
+ "+ون",
326
+ "+هما",
327
+ "ال+",
328
+ "+ه",
329
+ "+هن",
330
+ "+ات",
331
+ "[رابط]"
332
+ ],
333
+ "pad_token": "[PAD]",
334
+ "sep_token": "[SEP]",
335
+ "strip_accents": null,
336
+ "tokenize_chinese_chars": true,
337
+ "tokenizer_class": "BertTokenizer",
338
+ "unk_token": "[UNK]"
339
+ }
telecom_arabert_final/checkpoint-3570/trainer_state.json ADDED
@@ -0,0 +1,531 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 70.0,
6
+ "eval_steps": 500,
7
+ "global_step": 3570,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.9803921568627451,
14
+ "grad_norm": 11.002342224121094,
15
+ "learning_rate": 1.3725490196078432e-05,
16
+ "loss": 2.3419,
17
+ "step": 50
18
+ },
19
+ {
20
+ "epoch": 1.9607843137254903,
21
+ "grad_norm": 29.423385620117188,
22
+ "learning_rate": 2.773109243697479e-05,
23
+ "loss": 2.1727,
24
+ "step": 100
25
+ },
26
+ {
27
+ "epoch": 2.9411764705882355,
28
+ "grad_norm": 26.981374740600586,
29
+ "learning_rate": 4.173669467787115e-05,
30
+ "loss": 2.0203,
31
+ "step": 150
32
+ },
33
+ {
34
+ "epoch": 3.9215686274509802,
35
+ "grad_norm": 13.149168968200684,
36
+ "learning_rate": 5.574229691876751e-05,
37
+ "loss": 1.688,
38
+ "step": 200
39
+ },
40
+ {
41
+ "epoch": 4.901960784313726,
42
+ "grad_norm": 4.1570916175842285,
43
+ "learning_rate": 6.974789915966386e-05,
44
+ "loss": 2.1775,
45
+ "step": 250
46
+ },
47
+ {
48
+ "epoch": 5.882352941176471,
49
+ "grad_norm": 7.508273124694824,
50
+ "learning_rate": 8.375350140056023e-05,
51
+ "loss": 2.2603,
52
+ "step": 300
53
+ },
54
+ {
55
+ "epoch": 6.862745098039216,
56
+ "grad_norm": 5.582854270935059,
57
+ "learning_rate": 9.775910364145658e-05,
58
+ "loss": 2.2469,
59
+ "step": 350
60
+ },
61
+ {
62
+ "epoch": 7.8431372549019605,
63
+ "grad_norm": 6.001800060272217,
64
+ "learning_rate": 9.869281045751635e-05,
65
+ "loss": 2.2533,
66
+ "step": 400
67
+ },
68
+ {
69
+ "epoch": 8.823529411764707,
70
+ "grad_norm": 6.843214511871338,
71
+ "learning_rate": 9.713663243075009e-05,
72
+ "loss": 2.2437,
73
+ "step": 450
74
+ },
75
+ {
76
+ "epoch": 9.803921568627452,
77
+ "grad_norm": 6.001797676086426,
78
+ "learning_rate": 9.558045440398382e-05,
79
+ "loss": 2.2406,
80
+ "step": 500
81
+ },
82
+ {
83
+ "epoch": 10.784313725490197,
84
+ "grad_norm": 4.675999164581299,
85
+ "learning_rate": 9.402427637721756e-05,
86
+ "loss": 2.2353,
87
+ "step": 550
88
+ },
89
+ {
90
+ "epoch": 11.764705882352942,
91
+ "grad_norm": 6.9409966468811035,
92
+ "learning_rate": 9.246809835045129e-05,
93
+ "loss": 2.2288,
94
+ "step": 600
95
+ },
96
+ {
97
+ "epoch": 12.745098039215687,
98
+ "grad_norm": 7.809481143951416,
99
+ "learning_rate": 9.091192032368503e-05,
100
+ "loss": 2.237,
101
+ "step": 650
102
+ },
103
+ {
104
+ "epoch": 13.72549019607843,
105
+ "grad_norm": 5.771924018859863,
106
+ "learning_rate": 8.935574229691877e-05,
107
+ "loss": 2.234,
108
+ "step": 700
109
+ },
110
+ {
111
+ "epoch": 14.705882352941176,
112
+ "grad_norm": 3.7695183753967285,
113
+ "learning_rate": 8.779956427015251e-05,
114
+ "loss": 2.2398,
115
+ "step": 750
116
+ },
117
+ {
118
+ "epoch": 15.686274509803921,
119
+ "grad_norm": 5.8638529777526855,
120
+ "learning_rate": 8.624338624338625e-05,
121
+ "loss": 2.2241,
122
+ "step": 800
123
+ },
124
+ {
125
+ "epoch": 16.666666666666668,
126
+ "grad_norm": 7.440635681152344,
127
+ "learning_rate": 8.468720821661998e-05,
128
+ "loss": 2.2256,
129
+ "step": 850
130
+ },
131
+ {
132
+ "epoch": 17.647058823529413,
133
+ "grad_norm": 4.2441182136535645,
134
+ "learning_rate": 8.313103018985372e-05,
135
+ "loss": 2.2298,
136
+ "step": 900
137
+ },
138
+ {
139
+ "epoch": 18.627450980392158,
140
+ "grad_norm": 7.42420768737793,
141
+ "learning_rate": 8.157485216308745e-05,
142
+ "loss": 2.2233,
143
+ "step": 950
144
+ },
145
+ {
146
+ "epoch": 19.607843137254903,
147
+ "grad_norm": 4.213704586029053,
148
+ "learning_rate": 8.001867413632121e-05,
149
+ "loss": 2.2313,
150
+ "step": 1000
151
+ },
152
+ {
153
+ "epoch": 20.58823529411765,
154
+ "grad_norm": 6.308703422546387,
155
+ "learning_rate": 7.846249610955494e-05,
156
+ "loss": 2.2259,
157
+ "step": 1050
158
+ },
159
+ {
160
+ "epoch": 21.568627450980394,
161
+ "grad_norm": 8.95936393737793,
162
+ "learning_rate": 7.690631808278868e-05,
163
+ "loss": 2.2334,
164
+ "step": 1100
165
+ },
166
+ {
167
+ "epoch": 22.54901960784314,
168
+ "grad_norm": 7.726138591766357,
169
+ "learning_rate": 7.53501400560224e-05,
170
+ "loss": 2.2271,
171
+ "step": 1150
172
+ },
173
+ {
174
+ "epoch": 23.529411764705884,
175
+ "grad_norm": 5.980637550354004,
176
+ "learning_rate": 7.379396202925615e-05,
177
+ "loss": 2.2278,
178
+ "step": 1200
179
+ },
180
+ {
181
+ "epoch": 24.509803921568626,
182
+ "grad_norm": 5.208985805511475,
183
+ "learning_rate": 7.223778400248989e-05,
184
+ "loss": 2.2258,
185
+ "step": 1250
186
+ },
187
+ {
188
+ "epoch": 25.49019607843137,
189
+ "grad_norm": 3.785893678665161,
190
+ "learning_rate": 7.068160597572363e-05,
191
+ "loss": 2.2354,
192
+ "step": 1300
193
+ },
194
+ {
195
+ "epoch": 26.470588235294116,
196
+ "grad_norm": 7.314659595489502,
197
+ "learning_rate": 6.912542794895737e-05,
198
+ "loss": 2.2371,
199
+ "step": 1350
200
+ },
201
+ {
202
+ "epoch": 27.45098039215686,
203
+ "grad_norm": 5.165799617767334,
204
+ "learning_rate": 6.75692499221911e-05,
205
+ "loss": 2.2302,
206
+ "step": 1400
207
+ },
208
+ {
209
+ "epoch": 28.431372549019606,
210
+ "grad_norm": 6.496328353881836,
211
+ "learning_rate": 6.601307189542484e-05,
212
+ "loss": 2.2252,
213
+ "step": 1450
214
+ },
215
+ {
216
+ "epoch": 29.41176470588235,
217
+ "grad_norm": 3.1437888145446777,
218
+ "learning_rate": 6.445689386865857e-05,
219
+ "loss": 2.2292,
220
+ "step": 1500
221
+ },
222
+ {
223
+ "epoch": 30.392156862745097,
224
+ "grad_norm": 5.930662631988525,
225
+ "learning_rate": 6.290071584189231e-05,
226
+ "loss": 2.2307,
227
+ "step": 1550
228
+ },
229
+ {
230
+ "epoch": 31.372549019607842,
231
+ "grad_norm": 6.53542947769165,
232
+ "learning_rate": 6.134453781512605e-05,
233
+ "loss": 2.2195,
234
+ "step": 1600
235
+ },
236
+ {
237
+ "epoch": 32.35294117647059,
238
+ "grad_norm": 6.8471198081970215,
239
+ "learning_rate": 5.9788359788359794e-05,
240
+ "loss": 2.2292,
241
+ "step": 1650
242
+ },
243
+ {
244
+ "epoch": 33.333333333333336,
245
+ "grad_norm": 5.49623441696167,
246
+ "learning_rate": 5.823218176159353e-05,
247
+ "loss": 2.2269,
248
+ "step": 1700
249
+ },
250
+ {
251
+ "epoch": 34.31372549019608,
252
+ "grad_norm": 3.214643716812134,
253
+ "learning_rate": 5.6676003734827264e-05,
254
+ "loss": 2.2251,
255
+ "step": 1750
256
+ },
257
+ {
258
+ "epoch": 35.294117647058826,
259
+ "grad_norm": 6.643034934997559,
260
+ "learning_rate": 5.5119825708061e-05,
261
+ "loss": 2.2226,
262
+ "step": 1800
263
+ },
264
+ {
265
+ "epoch": 36.27450980392157,
266
+ "grad_norm": 5.6264753341674805,
267
+ "learning_rate": 5.356364768129474e-05,
268
+ "loss": 2.221,
269
+ "step": 1850
270
+ },
271
+ {
272
+ "epoch": 37.254901960784316,
273
+ "grad_norm": 5.2604265213012695,
274
+ "learning_rate": 5.200746965452848e-05,
275
+ "loss": 2.2268,
276
+ "step": 1900
277
+ },
278
+ {
279
+ "epoch": 38.23529411764706,
280
+ "grad_norm": 3.1051926612854004,
281
+ "learning_rate": 5.045129162776222e-05,
282
+ "loss": 2.2193,
283
+ "step": 1950
284
+ },
285
+ {
286
+ "epoch": 39.21568627450981,
287
+ "grad_norm": 5.157900333404541,
288
+ "learning_rate": 4.889511360099596e-05,
289
+ "loss": 2.2209,
290
+ "step": 2000
291
+ },
292
+ {
293
+ "epoch": 40.19607843137255,
294
+ "grad_norm": 6.348704814910889,
295
+ "learning_rate": 4.7338935574229694e-05,
296
+ "loss": 2.2401,
297
+ "step": 2050
298
+ },
299
+ {
300
+ "epoch": 41.1764705882353,
301
+ "grad_norm": 6.165525436401367,
302
+ "learning_rate": 4.5782757547463436e-05,
303
+ "loss": 2.2289,
304
+ "step": 2100
305
+ },
306
+ {
307
+ "epoch": 42.15686274509804,
308
+ "grad_norm": 3.2731242179870605,
309
+ "learning_rate": 4.422657952069717e-05,
310
+ "loss": 2.222,
311
+ "step": 2150
312
+ },
313
+ {
314
+ "epoch": 43.13725490196079,
315
+ "grad_norm": 4.991629123687744,
316
+ "learning_rate": 4.2670401493930905e-05,
317
+ "loss": 2.213,
318
+ "step": 2200
319
+ },
320
+ {
321
+ "epoch": 44.11764705882353,
322
+ "grad_norm": 5.966474533081055,
323
+ "learning_rate": 4.111422346716465e-05,
324
+ "loss": 2.2211,
325
+ "step": 2250
326
+ },
327
+ {
328
+ "epoch": 45.09803921568628,
329
+ "grad_norm": 6.867234230041504,
330
+ "learning_rate": 3.955804544039838e-05,
331
+ "loss": 2.2265,
332
+ "step": 2300
333
+ },
334
+ {
335
+ "epoch": 46.07843137254902,
336
+ "grad_norm": 5.227305889129639,
337
+ "learning_rate": 3.800186741363212e-05,
338
+ "loss": 2.219,
339
+ "step": 2350
340
+ },
341
+ {
342
+ "epoch": 47.05882352941177,
343
+ "grad_norm": 4.603776931762695,
344
+ "learning_rate": 3.644568938686586e-05,
345
+ "loss": 2.22,
346
+ "step": 2400
347
+ },
348
+ {
349
+ "epoch": 48.03921568627451,
350
+ "grad_norm": 6.5035858154296875,
351
+ "learning_rate": 3.48895113600996e-05,
352
+ "loss": 2.2192,
353
+ "step": 2450
354
+ },
355
+ {
356
+ "epoch": 49.01960784313726,
357
+ "grad_norm": 7.140364170074463,
358
+ "learning_rate": 3.3333333333333335e-05,
359
+ "loss": 2.2181,
360
+ "step": 2500
361
+ },
362
+ {
363
+ "epoch": 50.0,
364
+ "grad_norm": 10.780461311340332,
365
+ "learning_rate": 3.1777155306567077e-05,
366
+ "loss": 2.2234,
367
+ "step": 2550
368
+ },
369
+ {
370
+ "epoch": 50.98039215686274,
371
+ "grad_norm": 4.444032669067383,
372
+ "learning_rate": 3.022097727980081e-05,
373
+ "loss": 2.2186,
374
+ "step": 2600
375
+ },
376
+ {
377
+ "epoch": 51.96078431372549,
378
+ "grad_norm": 3.78542160987854,
379
+ "learning_rate": 2.8664799253034546e-05,
380
+ "loss": 2.2215,
381
+ "step": 2650
382
+ },
383
+ {
384
+ "epoch": 52.94117647058823,
385
+ "grad_norm": 5.9261322021484375,
386
+ "learning_rate": 2.7108621226268288e-05,
387
+ "loss": 2.2197,
388
+ "step": 2700
389
+ },
390
+ {
391
+ "epoch": 53.92156862745098,
392
+ "grad_norm": 3.300880193710327,
393
+ "learning_rate": 2.5552443199502023e-05,
394
+ "loss": 2.2125,
395
+ "step": 2750
396
+ },
397
+ {
398
+ "epoch": 54.90196078431372,
399
+ "grad_norm": 5.05993127822876,
400
+ "learning_rate": 2.3996265172735765e-05,
401
+ "loss": 2.2114,
402
+ "step": 2800
403
+ },
404
+ {
405
+ "epoch": 55.88235294117647,
406
+ "grad_norm": 5.635678768157959,
407
+ "learning_rate": 2.24400871459695e-05,
408
+ "loss": 2.2213,
409
+ "step": 2850
410
+ },
411
+ {
412
+ "epoch": 56.86274509803921,
413
+ "grad_norm": 6.652504920959473,
414
+ "learning_rate": 2.0883909119203238e-05,
415
+ "loss": 2.2239,
416
+ "step": 2900
417
+ },
418
+ {
419
+ "epoch": 57.84313725490196,
420
+ "grad_norm": 7.9634623527526855,
421
+ "learning_rate": 1.9327731092436976e-05,
422
+ "loss": 2.2289,
423
+ "step": 2950
424
+ },
425
+ {
426
+ "epoch": 58.8235294117647,
427
+ "grad_norm": 5.01388692855835,
428
+ "learning_rate": 1.777155306567071e-05,
429
+ "loss": 2.2282,
430
+ "step": 3000
431
+ },
432
+ {
433
+ "epoch": 59.80392156862745,
434
+ "grad_norm": 4.071011066436768,
435
+ "learning_rate": 1.6215375038904453e-05,
436
+ "loss": 2.225,
437
+ "step": 3050
438
+ },
439
+ {
440
+ "epoch": 60.78431372549019,
441
+ "grad_norm": 4.984341621398926,
442
+ "learning_rate": 1.4659197012138189e-05,
443
+ "loss": 2.2174,
444
+ "step": 3100
445
+ },
446
+ {
447
+ "epoch": 61.76470588235294,
448
+ "grad_norm": 5.719054698944092,
449
+ "learning_rate": 1.3103018985371926e-05,
450
+ "loss": 2.2223,
451
+ "step": 3150
452
+ },
453
+ {
454
+ "epoch": 62.745098039215684,
455
+ "grad_norm": 4.165637016296387,
456
+ "learning_rate": 1.1546840958605664e-05,
457
+ "loss": 2.2154,
458
+ "step": 3200
459
+ },
460
+ {
461
+ "epoch": 63.72549019607843,
462
+ "grad_norm": 6.845320224761963,
463
+ "learning_rate": 9.990662931839404e-06,
464
+ "loss": 2.2144,
465
+ "step": 3250
466
+ },
467
+ {
468
+ "epoch": 64.70588235294117,
469
+ "grad_norm": 4.848325252532959,
470
+ "learning_rate": 8.43448490507314e-06,
471
+ "loss": 2.2189,
472
+ "step": 3300
473
+ },
474
+ {
475
+ "epoch": 65.68627450980392,
476
+ "grad_norm": 7.032234191894531,
477
+ "learning_rate": 6.878306878306878e-06,
478
+ "loss": 2.2217,
479
+ "step": 3350
480
+ },
481
+ {
482
+ "epoch": 66.66666666666667,
483
+ "grad_norm": 3.573167085647583,
484
+ "learning_rate": 5.322128851540616e-06,
485
+ "loss": 2.2184,
486
+ "step": 3400
487
+ },
488
+ {
489
+ "epoch": 67.6470588235294,
490
+ "grad_norm": 5.0887885093688965,
491
+ "learning_rate": 3.7659508247743545e-06,
492
+ "loss": 2.217,
493
+ "step": 3450
494
+ },
495
+ {
496
+ "epoch": 68.62745098039215,
497
+ "grad_norm": 4.107006549835205,
498
+ "learning_rate": 2.209772798008092e-06,
499
+ "loss": 2.2137,
500
+ "step": 3500
501
+ },
502
+ {
503
+ "epoch": 69.6078431372549,
504
+ "grad_norm": 5.1878886222839355,
505
+ "learning_rate": 6.535947712418301e-07,
506
+ "loss": 2.2193,
507
+ "step": 3550
508
+ }
509
+ ],
510
+ "logging_steps": 50,
511
+ "max_steps": 3570,
512
+ "num_input_tokens_seen": 0,
513
+ "num_train_epochs": 70,
514
+ "save_steps": 500,
515
+ "stateful_callbacks": {
516
+ "TrainerControl": {
517
+ "args": {
518
+ "should_epoch_stop": false,
519
+ "should_evaluate": false,
520
+ "should_log": false,
521
+ "should_save": true,
522
+ "should_training_stop": true
523
+ },
524
+ "attributes": {}
525
+ }
526
+ },
527
+ "total_flos": 5.254819273686528e+16,
528
+ "train_batch_size": 32,
529
+ "trial_name": null,
530
+ "trial_params": null
531
+ }
telecom_arabert_final/checkpoint-3570/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f404697feee606a570b4c324874ebe1d187761105966fe2473f0e223ba2c5b60
3
+ size 5841
telecom_arabert_final/checkpoint-3570/vocab.txt ADDED
The diff for this file is too large to render. See raw diff
 
telecom_arabert_final/config.json ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "BertForSequenceClassification"
4
+ ],
5
+ "attention_probs_dropout_prob": 0.1,
6
+ "classifier_dropout": null,
7
+ "dtype": "float32",
8
+ "hidden_act": "gelu",
9
+ "hidden_dropout_prob": 0.1,
10
+ "hidden_size": 1024,
11
+ "id2label": {
12
+ "0": 1,
13
+ "1": 2,
14
+ "2": 3,
15
+ "3": 4,
16
+ "4": 5,
17
+ "5": 6,
18
+ "6": 7,
19
+ "7": 8,
20
+ "8": 9
21
+ },
22
+ "initializer_range": 0.02,
23
+ "intermediate_size": 4096,
24
+ "label2id": {
25
+ "1": 0,
26
+ "2": 1,
27
+ "3": 2,
28
+ "4": 3,
29
+ "5": 4,
30
+ "6": 5,
31
+ "7": 6,
32
+ "8": 7,
33
+ "9": 8
34
+ },
35
+ "layer_norm_eps": 1e-12,
36
+ "max_position_embeddings": 512,
37
+ "model_type": "bert",
38
+ "num_attention_heads": 16,
39
+ "num_hidden_layers": 24,
40
+ "pad_token_id": 31,
41
+ "position_embedding_type": "absolute",
42
+ "problem_type": "single_label_classification",
43
+ "transformers_version": "4.57.3",
44
+ "type_vocab_size": 2,
45
+ "use_cache": true,
46
+ "vocab_size": 64000
47
+ }
telecom_arabert_final/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d93707e820c2358b259f9fbc6bccdc94db28d36fdf85a1f7fee6f2d664a534a5
3
+ size 1477777444
telecom_arabert_final/special_tokens_map.json ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "cls_token": {
3
+ "content": "[CLS]",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "mask_token": {
10
+ "content": "[MASK]",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "[PAD]",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "sep_token": {
24
+ "content": "[SEP]",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ },
30
+ "unk_token": {
31
+ "content": "[UNK]",
32
+ "lstrip": false,
33
+ "normalized": false,
34
+ "rstrip": false,
35
+ "single_word": false
36
+ }
37
+ }
telecom_arabert_final/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
telecom_arabert_final/tokenizer_config.json ADDED
@@ -0,0 +1,339 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "added_tokens_decoder": {
3
+ "0": {
4
+ "content": "+ا",
5
+ "lstrip": false,
6
+ "normalized": true,
7
+ "rstrip": false,
8
+ "single_word": true,
9
+ "special": true
10
+ },
11
+ "1": {
12
+ "content": "+ك",
13
+ "lstrip": false,
14
+ "normalized": true,
15
+ "rstrip": false,
16
+ "single_word": true,
17
+ "special": true
18
+ },
19
+ "2": {
20
+ "content": "ب+",
21
+ "lstrip": false,
22
+ "normalized": true,
23
+ "rstrip": false,
24
+ "single_word": true,
25
+ "special": true
26
+ },
27
+ "3": {
28
+ "content": "+هم",
29
+ "lstrip": false,
30
+ "normalized": true,
31
+ "rstrip": false,
32
+ "single_word": true,
33
+ "special": true
34
+ },
35
+ "4": {
36
+ "content": "+ات",
37
+ "lstrip": false,
38
+ "normalized": true,
39
+ "rstrip": false,
40
+ "single_word": true,
41
+ "special": true
42
+ },
43
+ "5": {
44
+ "content": "+ي",
45
+ "lstrip": false,
46
+ "normalized": true,
47
+ "rstrip": false,
48
+ "single_word": true,
49
+ "special": true
50
+ },
51
+ "6": {
52
+ "content": "ل+",
53
+ "lstrip": false,
54
+ "normalized": true,
55
+ "rstrip": false,
56
+ "single_word": true,
57
+ "special": true
58
+ },
59
+ "7": {
60
+ "content": "+هما",
61
+ "lstrip": false,
62
+ "normalized": true,
63
+ "rstrip": false,
64
+ "single_word": true,
65
+ "special": true
66
+ },
67
+ "8": {
68
+ "content": "+نا",
69
+ "lstrip": false,
70
+ "normalized": true,
71
+ "rstrip": false,
72
+ "single_word": true,
73
+ "special": true
74
+ },
75
+ "9": {
76
+ "content": "+ن",
77
+ "lstrip": false,
78
+ "normalized": true,
79
+ "rstrip": false,
80
+ "single_word": true,
81
+ "special": true
82
+ },
83
+ "10": {
84
+ "content": "+ها",
85
+ "lstrip": false,
86
+ "normalized": true,
87
+ "rstrip": false,
88
+ "single_word": true,
89
+ "special": true
90
+ },
91
+ "11": {
92
+ "content": "+كما",
93
+ "lstrip": false,
94
+ "normalized": true,
95
+ "rstrip": false,
96
+ "single_word": true,
97
+ "special": true
98
+ },
99
+ "12": {
100
+ "content": "+ة",
101
+ "lstrip": false,
102
+ "normalized": true,
103
+ "rstrip": false,
104
+ "single_word": true,
105
+ "special": true
106
+ },
107
+ "13": {
108
+ "content": "ف+",
109
+ "lstrip": false,
110
+ "normalized": true,
111
+ "rstrip": false,
112
+ "single_word": true,
113
+ "special": true
114
+ },
115
+ "14": {
116
+ "content": "+كم",
117
+ "lstrip": false,
118
+ "normalized": true,
119
+ "rstrip": false,
120
+ "single_word": true,
121
+ "special": true
122
+ },
123
+ "15": {
124
+ "content": "+كن",
125
+ "lstrip": false,
126
+ "normalized": true,
127
+ "rstrip": false,
128
+ "single_word": true,
129
+ "special": true
130
+ },
131
+ "16": {
132
+ "content": "+ت",
133
+ "lstrip": false,
134
+ "normalized": true,
135
+ "rstrip": false,
136
+ "single_word": true,
137
+ "special": true
138
+ },
139
+ "17": {
140
+ "content": "[بريد]",
141
+ "lstrip": false,
142
+ "normalized": true,
143
+ "rstrip": false,
144
+ "single_word": true,
145
+ "special": true
146
+ },
147
+ "18": {
148
+ "content": "[مستخدم]",
149
+ "lstrip": false,
150
+ "normalized": true,
151
+ "rstrip": false,
152
+ "single_word": true,
153
+ "special": true
154
+ },
155
+ "19": {
156
+ "content": "لل+",
157
+ "lstrip": false,
158
+ "normalized": true,
159
+ "rstrip": false,
160
+ "single_word": true,
161
+ "special": true
162
+ },
163
+ "20": {
164
+ "content": "ال+",
165
+ "lstrip": false,
166
+ "normalized": true,
167
+ "rstrip": false,
168
+ "single_word": true,
169
+ "special": true
170
+ },
171
+ "21": {
172
+ "content": "[رابط]",
173
+ "lstrip": false,
174
+ "normalized": true,
175
+ "rstrip": false,
176
+ "single_word": true,
177
+ "special": true
178
+ },
179
+ "22": {
180
+ "content": "س+",
181
+ "lstrip": false,
182
+ "normalized": true,
183
+ "rstrip": false,
184
+ "single_word": true,
185
+ "special": true
186
+ },
187
+ "23": {
188
+ "content": "+ان",
189
+ "lstrip": false,
190
+ "normalized": true,
191
+ "rstrip": false,
192
+ "single_word": true,
193
+ "special": true
194
+ },
195
+ "24": {
196
+ "content": "+وا",
197
+ "lstrip": false,
198
+ "normalized": true,
199
+ "rstrip": false,
200
+ "single_word": true,
201
+ "special": true
202
+ },
203
+ "25": {
204
+ "content": "+ه",
205
+ "lstrip": false,
206
+ "normalized": true,
207
+ "rstrip": false,
208
+ "single_word": true,
209
+ "special": true
210
+ },
211
+ "26": {
212
+ "content": "+ون",
213
+ "lstrip": false,
214
+ "normalized": true,
215
+ "rstrip": false,
216
+ "single_word": true,
217
+ "special": true
218
+ },
219
+ "27": {
220
+ "content": "+هن",
221
+ "lstrip": false,
222
+ "normalized": true,
223
+ "rstrip": false,
224
+ "single_word": true,
225
+ "special": true
226
+ },
227
+ "28": {
228
+ "content": "+ين",
229
+ "lstrip": false,
230
+ "normalized": true,
231
+ "rstrip": false,
232
+ "single_word": true,
233
+ "special": true
234
+ },
235
+ "29": {
236
+ "content": "��+",
237
+ "lstrip": false,
238
+ "normalized": true,
239
+ "rstrip": false,
240
+ "single_word": true,
241
+ "special": true
242
+ },
243
+ "30": {
244
+ "content": "ك+",
245
+ "lstrip": false,
246
+ "normalized": true,
247
+ "rstrip": false,
248
+ "single_word": true,
249
+ "special": true
250
+ },
251
+ "31": {
252
+ "content": "[PAD]",
253
+ "lstrip": false,
254
+ "normalized": false,
255
+ "rstrip": false,
256
+ "single_word": false,
257
+ "special": true
258
+ },
259
+ "32": {
260
+ "content": "[UNK]",
261
+ "lstrip": false,
262
+ "normalized": false,
263
+ "rstrip": false,
264
+ "single_word": false,
265
+ "special": true
266
+ },
267
+ "33": {
268
+ "content": "[CLS]",
269
+ "lstrip": false,
270
+ "normalized": false,
271
+ "rstrip": false,
272
+ "single_word": false,
273
+ "special": true
274
+ },
275
+ "34": {
276
+ "content": "[SEP]",
277
+ "lstrip": false,
278
+ "normalized": false,
279
+ "rstrip": false,
280
+ "single_word": false,
281
+ "special": true
282
+ },
283
+ "35": {
284
+ "content": "[MASK]",
285
+ "lstrip": false,
286
+ "normalized": false,
287
+ "rstrip": false,
288
+ "single_word": false,
289
+ "special": true
290
+ }
291
+ },
292
+ "clean_up_tokenization_spaces": false,
293
+ "cls_token": "[CLS]",
294
+ "do_basic_tokenize": true,
295
+ "do_lower_case": false,
296
+ "extra_special_tokens": {},
297
+ "mask_token": "[MASK]",
298
+ "max_len": 512,
299
+ "model_max_length": 512,
300
+ "never_split": [
301
+ "+ك",
302
+ "+كما",
303
+ "ك+",
304
+ "+وا",
305
+ "+ين",
306
+ "و+",
307
+ "+كن",
308
+ "+ان",
309
+ "+هم",
310
+ "+ة",
311
+ "[بريد]",
312
+ "لل+",
313
+ "+ي",
314
+ "+ت",
315
+ "+ن",
316
+ "س+",
317
+ "ل+",
318
+ "[مستخدم]",
319
+ "+كم",
320
+ "+ا",
321
+ "ب+",
322
+ "ف+",
323
+ "+نا",
324
+ "+ها",
325
+ "+ون",
326
+ "+هما",
327
+ "ال+",
328
+ "+ه",
329
+ "+هن",
330
+ "+ات",
331
+ "[رابط]"
332
+ ],
333
+ "pad_token": "[PAD]",
334
+ "sep_token": "[SEP]",
335
+ "strip_accents": null,
336
+ "tokenize_chinese_chars": true,
337
+ "tokenizer_class": "BertTokenizer",
338
+ "unk_token": "[UNK]"
339
+ }
telecom_arabert_final/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f404697feee606a570b4c324874ebe1d187761105966fe2473f0e223ba2c5b60
3
+ size 5841
telecom_arabert_final/vocab.txt ADDED
The diff for this file is too large to render. See raw diff
 
telecom_arabert_large_full_pipeline/checkpoint-48/config.json ADDED
@@ -0,0 +1,54 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "BertForSequenceClassification"
4
+ ],
5
+ "attention_probs_dropout_prob": 0.1,
6
+ "classifier_dropout": null,
7
+ "directionality": "bidi",
8
+ "dtype": "float32",
9
+ "gradient_checkpointing": false,
10
+ "hidden_act": "gelu",
11
+ "hidden_dropout_prob": 0.1,
12
+ "hidden_size": 768,
13
+ "id2label": {
14
+ "0": 1,
15
+ "1": 2,
16
+ "2": 3,
17
+ "3": 4,
18
+ "4": 5,
19
+ "5": 6,
20
+ "6": 7,
21
+ "7": 8,
22
+ "8": 9
23
+ },
24
+ "initializer_range": 0.02,
25
+ "intermediate_size": 3072,
26
+ "label2id": {
27
+ "1": 0,
28
+ "2": 1,
29
+ "3": 2,
30
+ "4": 3,
31
+ "5": 4,
32
+ "6": 5,
33
+ "7": 6,
34
+ "8": 7,
35
+ "9": 8
36
+ },
37
+ "layer_norm_eps": 1e-12,
38
+ "max_position_embeddings": 512,
39
+ "model_type": "bert",
40
+ "num_attention_heads": 12,
41
+ "num_hidden_layers": 12,
42
+ "pad_token_id": 0,
43
+ "pooler_fc_size": 768,
44
+ "pooler_num_attention_heads": 12,
45
+ "pooler_num_fc_layers": 3,
46
+ "pooler_size_per_head": 128,
47
+ "pooler_type": "first_token_transform",
48
+ "position_embedding_type": "absolute",
49
+ "problem_type": "single_label_classification",
50
+ "transformers_version": "4.57.3",
51
+ "type_vocab_size": 2,
52
+ "use_cache": true,
53
+ "vocab_size": 100000
54
+ }
telecom_arabert_large_full_pipeline/checkpoint-48/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:353da92582a55d807297cea6472435ef357ed14d1b3964021d78587799369c43
3
+ size 651416604
telecom_arabert_large_full_pipeline/checkpoint-48/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b8ecd0597dd4956fde48a8772a9e7c24c94eefe86d1cc29a7973479dd533b416
3
+ size 1302957451
telecom_arabert_large_full_pipeline/checkpoint-48/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ed81f7db8d606ed1bb9b292fae282ac039995f720a9d6914c62e680e24c7ca19
3
+ size 14645
telecom_arabert_large_full_pipeline/checkpoint-48/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d365d688f8b5d88411103bae117a83936714556abc6d35a086b9815020627c5a
3
+ size 1465
telecom_arabert_large_full_pipeline/checkpoint-48/special_tokens_map.json ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "cls_token": {
3
+ "content": "[CLS]",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "mask_token": {
10
+ "content": "[MASK]",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "[PAD]",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "sep_token": {
24
+ "content": "[SEP]",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ },
30
+ "unk_token": {
31
+ "content": "[UNK]",
32
+ "lstrip": false,
33
+ "normalized": false,
34
+ "rstrip": false,
35
+ "single_word": false
36
+ }
37
+ }
telecom_arabert_large_full_pipeline/checkpoint-48/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
telecom_arabert_large_full_pipeline/checkpoint-48/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": "[UNK]",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false,
17
+ "special": true
18
+ },
19
+ "2": {
20
+ "content": "[CLS]",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false,
25
+ "special": true
26
+ },
27
+ "3": {
28
+ "content": "[SEP]",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false,
33
+ "special": true
34
+ },
35
+ "4": {
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_basic_tokenize": true,
47
+ "do_lower_case": true,
48
+ "extra_special_tokens": {},
49
+ "mask_token": "[MASK]",
50
+ "model_max_length": 1000000000000000019884624838656,
51
+ "never_split": null,
52
+ "pad_token": "[PAD]",
53
+ "sep_token": "[SEP]",
54
+ "strip_accents": null,
55
+ "tokenize_chinese_chars": true,
56
+ "tokenizer_class": "BertTokenizer",
57
+ "unk_token": "[UNK]"
58
+ }
telecom_arabert_large_full_pipeline/checkpoint-48/trainer_state.json ADDED
@@ -0,0 +1,242 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": 48,
3
+ "best_metric": 0.7628623647339323,
4
+ "best_model_checkpoint": "./telecom_arabert_large_full_pipeline/checkpoint-48",
5
+ "epoch": 8.0,
6
+ "eval_steps": 500,
7
+ "global_step": 48,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 1.0,
14
+ "eval_accuracy": 0.18333333333333332,
15
+ "eval_f1_class_1": 0.5714285714285714,
16
+ "eval_f1_class_2": 0.0,
17
+ "eval_f1_class_3": 0.08695652173913043,
18
+ "eval_f1_class_4": 0.0,
19
+ "eval_f1_class_5": 0.14285714285714285,
20
+ "eval_f1_class_6": 0.0,
21
+ "eval_f1_class_7": 0.15384615384615385,
22
+ "eval_f1_class_8": 0.0,
23
+ "eval_f1_class_9": 0.4782608695652174,
24
+ "eval_f1_macro": 0.1592610288262462,
25
+ "eval_f1_weighted": 0.1646121993948081,
26
+ "eval_loss": 2.19708251953125,
27
+ "eval_precision_macro": 0.22300011411617027,
28
+ "eval_precision_weighted": 0.23096456692913386,
29
+ "eval_recall_macro": 0.20279146863815056,
30
+ "eval_recall_weighted": 0.18333333333333332,
31
+ "eval_runtime": 0.3659,
32
+ "eval_samples_per_second": 491.975,
33
+ "eval_steps_per_second": 2.733,
34
+ "step": 6
35
+ },
36
+ {
37
+ "epoch": 2.0,
38
+ "eval_accuracy": 0.32222222222222224,
39
+ "eval_f1_class_1": 0.7894736842105263,
40
+ "eval_f1_class_2": 0.0,
41
+ "eval_f1_class_3": 0.17391304347826086,
42
+ "eval_f1_class_4": 0.0,
43
+ "eval_f1_class_5": 0.22807017543859648,
44
+ "eval_f1_class_6": 0.14814814814814814,
45
+ "eval_f1_class_7": 0.22857142857142856,
46
+ "eval_f1_class_8": 0.0,
47
+ "eval_f1_class_9": 0.7719298245614035,
48
+ "eval_f1_macro": 0.26001181160092934,
49
+ "eval_f1_weighted": 0.26565195866746844,
50
+ "eval_loss": 2.146738052368164,
51
+ "eval_precision_macro": 0.2969712657540264,
52
+ "eval_precision_weighted": 0.30471977589915855,
53
+ "eval_recall_macro": 0.34401095805726306,
54
+ "eval_recall_weighted": 0.32222222222222224,
55
+ "eval_runtime": 0.3684,
56
+ "eval_samples_per_second": 488.604,
57
+ "eval_steps_per_second": 2.714,
58
+ "step": 12
59
+ },
60
+ {
61
+ "epoch": 3.0,
62
+ "eval_accuracy": 0.5611111111111111,
63
+ "eval_f1_class_1": 0.8163265306122449,
64
+ "eval_f1_class_2": 0.5882352941176471,
65
+ "eval_f1_class_3": 0.4,
66
+ "eval_f1_class_4": 0.6486486486486487,
67
+ "eval_f1_class_5": 0.35714285714285715,
68
+ "eval_f1_class_6": 0.25,
69
+ "eval_f1_class_7": 0.8181818181818182,
70
+ "eval_f1_class_8": 0.0,
71
+ "eval_f1_class_9": 0.7457627118644068,
72
+ "eval_f1_macro": 0.5138108733964025,
73
+ "eval_f1_weighted": 0.5241442923315164,
74
+ "eval_loss": 2.027998208999634,
75
+ "eval_precision_macro": 0.5503880544762977,
76
+ "eval_precision_weighted": 0.56245523793883,
77
+ "eval_recall_macro": 0.5638005023050117,
78
+ "eval_recall_weighted": 0.5611111111111111,
79
+ "eval_runtime": 0.3388,
80
+ "eval_samples_per_second": 531.312,
81
+ "eval_steps_per_second": 2.952,
82
+ "step": 18
83
+ },
84
+ {
85
+ "epoch": 4.0,
86
+ "eval_accuracy": 0.6777777777777778,
87
+ "eval_f1_class_1": 0.7916666666666666,
88
+ "eval_f1_class_2": 0.6415094339622641,
89
+ "eval_f1_class_3": 0.4,
90
+ "eval_f1_class_4": 0.8,
91
+ "eval_f1_class_5": 0.6428571428571429,
92
+ "eval_f1_class_6": 0.2727272727272727,
93
+ "eval_f1_class_7": 0.8936170212765957,
94
+ "eval_f1_class_8": 0.4878048780487805,
95
+ "eval_f1_class_9": 0.7857142857142857,
96
+ "eval_f1_macro": 0.6350996334725564,
97
+ "eval_f1_weighted": 0.6471254592295707,
98
+ "eval_loss": 1.8633366823196411,
99
+ "eval_precision_macro": 0.6883335240112735,
100
+ "eval_precision_weighted": 0.6948434226567218,
101
+ "eval_recall_macro": 0.6644582867863256,
102
+ "eval_recall_weighted": 0.6777777777777778,
103
+ "eval_runtime": 0.3623,
104
+ "eval_samples_per_second": 496.871,
105
+ "eval_steps_per_second": 2.76,
106
+ "step": 24
107
+ },
108
+ {
109
+ "epoch": 4.181818181818182,
110
+ "grad_norm": 1.3243730068206787,
111
+ "learning_rate": 1.925925925925926e-05,
112
+ "loss": 2.1096,
113
+ "step": 25
114
+ },
115
+ {
116
+ "epoch": 5.0,
117
+ "eval_accuracy": 0.7444444444444445,
118
+ "eval_f1_class_1": 0.8085106382978723,
119
+ "eval_f1_class_2": 0.68,
120
+ "eval_f1_class_3": 0.46153846153846156,
121
+ "eval_f1_class_4": 0.9,
122
+ "eval_f1_class_5": 0.782608695652174,
123
+ "eval_f1_class_6": 0.45454545454545453,
124
+ "eval_f1_class_7": 0.9166666666666666,
125
+ "eval_f1_class_8": 0.64,
126
+ "eval_f1_class_9": 0.8148148148148148,
127
+ "eval_f1_macro": 0.7176316368350493,
128
+ "eval_f1_weighted": 0.7252298335926662,
129
+ "eval_loss": 1.6966552734375,
130
+ "eval_precision_macro": 0.7965824365465943,
131
+ "eval_precision_weighted": 0.7860274061528542,
132
+ "eval_recall_macro": 0.726896653946055,
133
+ "eval_recall_weighted": 0.7444444444444445,
134
+ "eval_runtime": 0.3663,
135
+ "eval_samples_per_second": 491.368,
136
+ "eval_steps_per_second": 2.73,
137
+ "step": 30
138
+ },
139
+ {
140
+ "epoch": 6.0,
141
+ "eval_accuracy": 0.7388888888888889,
142
+ "eval_f1_class_1": 0.8085106382978723,
143
+ "eval_f1_class_2": 0.6808510638297872,
144
+ "eval_f1_class_3": 0.46153846153846156,
145
+ "eval_f1_class_4": 0.8571428571428571,
146
+ "eval_f1_class_5": 0.8695652173913043,
147
+ "eval_f1_class_6": 0.3,
148
+ "eval_f1_class_7": 0.92,
149
+ "eval_f1_class_8": 0.6153846153846154,
150
+ "eval_f1_class_9": 0.8301886792452831,
151
+ "eval_f1_macro": 0.7047979480922423,
152
+ "eval_f1_weighted": 0.7113735565144463,
153
+ "eval_loss": 1.5490903854370117,
154
+ "eval_precision_macro": 0.7956664734442512,
155
+ "eval_precision_weighted": 0.7799277677055455,
156
+ "eval_recall_macro": 0.721445841142301,
157
+ "eval_recall_weighted": 0.7388888888888889,
158
+ "eval_runtime": 0.3635,
159
+ "eval_samples_per_second": 495.151,
160
+ "eval_steps_per_second": 2.751,
161
+ "step": 36
162
+ },
163
+ {
164
+ "epoch": 7.0,
165
+ "eval_accuracy": 0.75,
166
+ "eval_f1_class_1": 0.8837209302325582,
167
+ "eval_f1_class_2": 0.6956521739130435,
168
+ "eval_f1_class_3": 0.5185185185185185,
169
+ "eval_f1_class_4": 0.8372093023255814,
170
+ "eval_f1_class_5": 0.88,
171
+ "eval_f1_class_6": 0.3,
172
+ "eval_f1_class_7": 0.9019607843137255,
173
+ "eval_f1_class_8": 0.6153846153846154,
174
+ "eval_f1_class_9": 0.8301886792452831,
175
+ "eval_f1_macro": 0.7180705559925916,
176
+ "eval_f1_weighted": 0.72352293998154,
177
+ "eval_loss": 1.4178283214569092,
178
+ "eval_precision_macro": 0.7969289656487724,
179
+ "eval_precision_weighted": 0.7836037157957447,
180
+ "eval_recall_macro": 0.7358408029056838,
181
+ "eval_recall_weighted": 0.75,
182
+ "eval_runtime": 0.367,
183
+ "eval_samples_per_second": 490.53,
184
+ "eval_steps_per_second": 2.725,
185
+ "step": 42
186
+ },
187
+ {
188
+ "epoch": 8.0,
189
+ "eval_accuracy": 0.7777777777777778,
190
+ "eval_f1_class_1": 0.8837209302325582,
191
+ "eval_f1_class_2": 0.7111111111111111,
192
+ "eval_f1_class_3": 0.5714285714285714,
193
+ "eval_f1_class_4": 0.8571428571428571,
194
+ "eval_f1_class_5": 0.9230769230769231,
195
+ "eval_f1_class_6": 0.5217391304347826,
196
+ "eval_f1_class_7": 0.9019607843137255,
197
+ "eval_f1_class_8": 0.6274509803921569,
198
+ "eval_f1_class_9": 0.8627450980392157,
199
+ "eval_f1_macro": 0.7622640429079891,
200
+ "eval_f1_weighted": 0.7628623647339323,
201
+ "eval_loss": 1.312013864517212,
202
+ "eval_precision_macro": 0.8140437018697889,
203
+ "eval_precision_weighted": 0.8017353312280849,
204
+ "eval_recall_macro": 0.7698436078063214,
205
+ "eval_recall_weighted": 0.7777777777777778,
206
+ "eval_runtime": 0.3727,
207
+ "eval_samples_per_second": 482.939,
208
+ "eval_steps_per_second": 2.683,
209
+ "step": 48
210
+ }
211
+ ],
212
+ "logging_steps": 25,
213
+ "max_steps": 180,
214
+ "num_input_tokens_seen": 0,
215
+ "num_train_epochs": 30,
216
+ "save_steps": 500,
217
+ "stateful_callbacks": {
218
+ "EarlyStoppingCallback": {
219
+ "args": {
220
+ "early_stopping_patience": 5,
221
+ "early_stopping_threshold": 0.001
222
+ },
223
+ "attributes": {
224
+ "early_stopping_patience_counter": 0
225
+ }
226
+ },
227
+ "TrainerControl": {
228
+ "args": {
229
+ "should_epoch_stop": false,
230
+ "should_evaluate": false,
231
+ "should_log": false,
232
+ "should_save": true,
233
+ "should_training_stop": false
234
+ },
235
+ "attributes": {}
236
+ }
237
+ },
238
+ "total_flos": 1695594202435584.0,
239
+ "train_batch_size": 160,
240
+ "trial_name": null,
241
+ "trial_params": null
242
+ }
telecom_arabert_large_full_pipeline/checkpoint-48/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b28c2db508479b89cb58a872b64cfbcc28b46676db066513513feaca9b31a7da
3
+ size 5905
telecom_arabert_large_full_pipeline/checkpoint-48/vocab.txt ADDED
The diff for this file is too large to render. See raw diff
 
telecom_arabert_large_full_pipeline/checkpoint-72/config.json ADDED
@@ -0,0 +1,54 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "BertForSequenceClassification"
4
+ ],
5
+ "attention_probs_dropout_prob": 0.1,
6
+ "classifier_dropout": null,
7
+ "directionality": "bidi",
8
+ "dtype": "float32",
9
+ "gradient_checkpointing": false,
10
+ "hidden_act": "gelu",
11
+ "hidden_dropout_prob": 0.1,
12
+ "hidden_size": 768,
13
+ "id2label": {
14
+ "0": 1,
15
+ "1": 2,
16
+ "2": 3,
17
+ "3": 4,
18
+ "4": 5,
19
+ "5": 6,
20
+ "6": 7,
21
+ "7": 8,
22
+ "8": 9
23
+ },
24
+ "initializer_range": 0.02,
25
+ "intermediate_size": 3072,
26
+ "label2id": {
27
+ "1": 0,
28
+ "2": 1,
29
+ "3": 2,
30
+ "4": 3,
31
+ "5": 4,
32
+ "6": 5,
33
+ "7": 6,
34
+ "8": 7,
35
+ "9": 8
36
+ },
37
+ "layer_norm_eps": 1e-12,
38
+ "max_position_embeddings": 512,
39
+ "model_type": "bert",
40
+ "num_attention_heads": 12,
41
+ "num_hidden_layers": 12,
42
+ "pad_token_id": 0,
43
+ "pooler_fc_size": 768,
44
+ "pooler_num_attention_heads": 12,
45
+ "pooler_num_fc_layers": 3,
46
+ "pooler_size_per_head": 128,
47
+ "pooler_type": "first_token_transform",
48
+ "position_embedding_type": "absolute",
49
+ "problem_type": "single_label_classification",
50
+ "transformers_version": "4.57.3",
51
+ "type_vocab_size": 2,
52
+ "use_cache": true,
53
+ "vocab_size": 100000
54
+ }
telecom_arabert_large_full_pipeline/checkpoint-72/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:95cc3fb5ea499edec915d668631bf192b5d064fc5461063832470d43f1ca1e90
3
+ size 651416604
telecom_arabert_large_full_pipeline/checkpoint-72/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b3f94719757a8fccf66b778561cc97c532248148de23e1474dc75066d7add5d8
3
+ size 1302957451
telecom_arabert_large_full_pipeline/checkpoint-72/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bb95f7d7bf153d4fa9636c2bf94a178abec6949dd10bccab105a52aa9f1a5b64
3
+ size 14645
telecom_arabert_large_full_pipeline/checkpoint-72/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9d540913d7068686cd197cdd6dad9cd0c6efcea37f2e2f13ea9b201be99bd7ac
3
+ size 1465
telecom_arabert_large_full_pipeline/checkpoint-72/special_tokens_map.json ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "cls_token": {
3
+ "content": "[CLS]",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "mask_token": {
10
+ "content": "[MASK]",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "[PAD]",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "sep_token": {
24
+ "content": "[SEP]",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ },
30
+ "unk_token": {
31
+ "content": "[UNK]",
32
+ "lstrip": false,
33
+ "normalized": false,
34
+ "rstrip": false,
35
+ "single_word": false
36
+ }
37
+ }
telecom_arabert_large_full_pipeline/checkpoint-72/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
telecom_arabert_large_full_pipeline/checkpoint-72/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": "[UNK]",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false,
17
+ "special": true
18
+ },
19
+ "2": {
20
+ "content": "[CLS]",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false,
25
+ "special": true
26
+ },
27
+ "3": {
28
+ "content": "[SEP]",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false,
33
+ "special": true
34
+ },
35
+ "4": {
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_basic_tokenize": true,
47
+ "do_lower_case": true,
48
+ "extra_special_tokens": {},
49
+ "mask_token": "[MASK]",
50
+ "model_max_length": 1000000000000000019884624838656,
51
+ "never_split": null,
52
+ "pad_token": "[PAD]",
53
+ "sep_token": "[SEP]",
54
+ "strip_accents": null,
55
+ "tokenize_chinese_chars": true,
56
+ "tokenizer_class": "BertTokenizer",
57
+ "unk_token": "[UNK]"
58
+ }
telecom_arabert_large_full_pipeline/checkpoint-72/trainer_state.json ADDED
@@ -0,0 +1,345 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": 48,
3
+ "best_metric": 0.7628623647339323,
4
+ "best_model_checkpoint": "./telecom_arabert_large_full_pipeline/checkpoint-48",
5
+ "epoch": 12.0,
6
+ "eval_steps": 500,
7
+ "global_step": 72,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 1.0,
14
+ "eval_accuracy": 0.18333333333333332,
15
+ "eval_f1_class_1": 0.5714285714285714,
16
+ "eval_f1_class_2": 0.0,
17
+ "eval_f1_class_3": 0.08695652173913043,
18
+ "eval_f1_class_4": 0.0,
19
+ "eval_f1_class_5": 0.14285714285714285,
20
+ "eval_f1_class_6": 0.0,
21
+ "eval_f1_class_7": 0.15384615384615385,
22
+ "eval_f1_class_8": 0.0,
23
+ "eval_f1_class_9": 0.4782608695652174,
24
+ "eval_f1_macro": 0.1592610288262462,
25
+ "eval_f1_weighted": 0.1646121993948081,
26
+ "eval_loss": 2.19708251953125,
27
+ "eval_precision_macro": 0.22300011411617027,
28
+ "eval_precision_weighted": 0.23096456692913386,
29
+ "eval_recall_macro": 0.20279146863815056,
30
+ "eval_recall_weighted": 0.18333333333333332,
31
+ "eval_runtime": 0.3659,
32
+ "eval_samples_per_second": 491.975,
33
+ "eval_steps_per_second": 2.733,
34
+ "step": 6
35
+ },
36
+ {
37
+ "epoch": 2.0,
38
+ "eval_accuracy": 0.32222222222222224,
39
+ "eval_f1_class_1": 0.7894736842105263,
40
+ "eval_f1_class_2": 0.0,
41
+ "eval_f1_class_3": 0.17391304347826086,
42
+ "eval_f1_class_4": 0.0,
43
+ "eval_f1_class_5": 0.22807017543859648,
44
+ "eval_f1_class_6": 0.14814814814814814,
45
+ "eval_f1_class_7": 0.22857142857142856,
46
+ "eval_f1_class_8": 0.0,
47
+ "eval_f1_class_9": 0.7719298245614035,
48
+ "eval_f1_macro": 0.26001181160092934,
49
+ "eval_f1_weighted": 0.26565195866746844,
50
+ "eval_loss": 2.146738052368164,
51
+ "eval_precision_macro": 0.2969712657540264,
52
+ "eval_precision_weighted": 0.30471977589915855,
53
+ "eval_recall_macro": 0.34401095805726306,
54
+ "eval_recall_weighted": 0.32222222222222224,
55
+ "eval_runtime": 0.3684,
56
+ "eval_samples_per_second": 488.604,
57
+ "eval_steps_per_second": 2.714,
58
+ "step": 12
59
+ },
60
+ {
61
+ "epoch": 3.0,
62
+ "eval_accuracy": 0.5611111111111111,
63
+ "eval_f1_class_1": 0.8163265306122449,
64
+ "eval_f1_class_2": 0.5882352941176471,
65
+ "eval_f1_class_3": 0.4,
66
+ "eval_f1_class_4": 0.6486486486486487,
67
+ "eval_f1_class_5": 0.35714285714285715,
68
+ "eval_f1_class_6": 0.25,
69
+ "eval_f1_class_7": 0.8181818181818182,
70
+ "eval_f1_class_8": 0.0,
71
+ "eval_f1_class_9": 0.7457627118644068,
72
+ "eval_f1_macro": 0.5138108733964025,
73
+ "eval_f1_weighted": 0.5241442923315164,
74
+ "eval_loss": 2.027998208999634,
75
+ "eval_precision_macro": 0.5503880544762977,
76
+ "eval_precision_weighted": 0.56245523793883,
77
+ "eval_recall_macro": 0.5638005023050117,
78
+ "eval_recall_weighted": 0.5611111111111111,
79
+ "eval_runtime": 0.3388,
80
+ "eval_samples_per_second": 531.312,
81
+ "eval_steps_per_second": 2.952,
82
+ "step": 18
83
+ },
84
+ {
85
+ "epoch": 4.0,
86
+ "eval_accuracy": 0.6777777777777778,
87
+ "eval_f1_class_1": 0.7916666666666666,
88
+ "eval_f1_class_2": 0.6415094339622641,
89
+ "eval_f1_class_3": 0.4,
90
+ "eval_f1_class_4": 0.8,
91
+ "eval_f1_class_5": 0.6428571428571429,
92
+ "eval_f1_class_6": 0.2727272727272727,
93
+ "eval_f1_class_7": 0.8936170212765957,
94
+ "eval_f1_class_8": 0.4878048780487805,
95
+ "eval_f1_class_9": 0.7857142857142857,
96
+ "eval_f1_macro": 0.6350996334725564,
97
+ "eval_f1_weighted": 0.6471254592295707,
98
+ "eval_loss": 1.8633366823196411,
99
+ "eval_precision_macro": 0.6883335240112735,
100
+ "eval_precision_weighted": 0.6948434226567218,
101
+ "eval_recall_macro": 0.6644582867863256,
102
+ "eval_recall_weighted": 0.6777777777777778,
103
+ "eval_runtime": 0.3623,
104
+ "eval_samples_per_second": 496.871,
105
+ "eval_steps_per_second": 2.76,
106
+ "step": 24
107
+ },
108
+ {
109
+ "epoch": 4.181818181818182,
110
+ "grad_norm": 1.3243730068206787,
111
+ "learning_rate": 1.925925925925926e-05,
112
+ "loss": 2.1096,
113
+ "step": 25
114
+ },
115
+ {
116
+ "epoch": 5.0,
117
+ "eval_accuracy": 0.7444444444444445,
118
+ "eval_f1_class_1": 0.8085106382978723,
119
+ "eval_f1_class_2": 0.68,
120
+ "eval_f1_class_3": 0.46153846153846156,
121
+ "eval_f1_class_4": 0.9,
122
+ "eval_f1_class_5": 0.782608695652174,
123
+ "eval_f1_class_6": 0.45454545454545453,
124
+ "eval_f1_class_7": 0.9166666666666666,
125
+ "eval_f1_class_8": 0.64,
126
+ "eval_f1_class_9": 0.8148148148148148,
127
+ "eval_f1_macro": 0.7176316368350493,
128
+ "eval_f1_weighted": 0.7252298335926662,
129
+ "eval_loss": 1.6966552734375,
130
+ "eval_precision_macro": 0.7965824365465943,
131
+ "eval_precision_weighted": 0.7860274061528542,
132
+ "eval_recall_macro": 0.726896653946055,
133
+ "eval_recall_weighted": 0.7444444444444445,
134
+ "eval_runtime": 0.3663,
135
+ "eval_samples_per_second": 491.368,
136
+ "eval_steps_per_second": 2.73,
137
+ "step": 30
138
+ },
139
+ {
140
+ "epoch": 6.0,
141
+ "eval_accuracy": 0.7388888888888889,
142
+ "eval_f1_class_1": 0.8085106382978723,
143
+ "eval_f1_class_2": 0.6808510638297872,
144
+ "eval_f1_class_3": 0.46153846153846156,
145
+ "eval_f1_class_4": 0.8571428571428571,
146
+ "eval_f1_class_5": 0.8695652173913043,
147
+ "eval_f1_class_6": 0.3,
148
+ "eval_f1_class_7": 0.92,
149
+ "eval_f1_class_8": 0.6153846153846154,
150
+ "eval_f1_class_9": 0.8301886792452831,
151
+ "eval_f1_macro": 0.7047979480922423,
152
+ "eval_f1_weighted": 0.7113735565144463,
153
+ "eval_loss": 1.5490903854370117,
154
+ "eval_precision_macro": 0.7956664734442512,
155
+ "eval_precision_weighted": 0.7799277677055455,
156
+ "eval_recall_macro": 0.721445841142301,
157
+ "eval_recall_weighted": 0.7388888888888889,
158
+ "eval_runtime": 0.3635,
159
+ "eval_samples_per_second": 495.151,
160
+ "eval_steps_per_second": 2.751,
161
+ "step": 36
162
+ },
163
+ {
164
+ "epoch": 7.0,
165
+ "eval_accuracy": 0.75,
166
+ "eval_f1_class_1": 0.8837209302325582,
167
+ "eval_f1_class_2": 0.6956521739130435,
168
+ "eval_f1_class_3": 0.5185185185185185,
169
+ "eval_f1_class_4": 0.8372093023255814,
170
+ "eval_f1_class_5": 0.88,
171
+ "eval_f1_class_6": 0.3,
172
+ "eval_f1_class_7": 0.9019607843137255,
173
+ "eval_f1_class_8": 0.6153846153846154,
174
+ "eval_f1_class_9": 0.8301886792452831,
175
+ "eval_f1_macro": 0.7180705559925916,
176
+ "eval_f1_weighted": 0.72352293998154,
177
+ "eval_loss": 1.4178283214569092,
178
+ "eval_precision_macro": 0.7969289656487724,
179
+ "eval_precision_weighted": 0.7836037157957447,
180
+ "eval_recall_macro": 0.7358408029056838,
181
+ "eval_recall_weighted": 0.75,
182
+ "eval_runtime": 0.367,
183
+ "eval_samples_per_second": 490.53,
184
+ "eval_steps_per_second": 2.725,
185
+ "step": 42
186
+ },
187
+ {
188
+ "epoch": 8.0,
189
+ "eval_accuracy": 0.7777777777777778,
190
+ "eval_f1_class_1": 0.8837209302325582,
191
+ "eval_f1_class_2": 0.7111111111111111,
192
+ "eval_f1_class_3": 0.5714285714285714,
193
+ "eval_f1_class_4": 0.8571428571428571,
194
+ "eval_f1_class_5": 0.9230769230769231,
195
+ "eval_f1_class_6": 0.5217391304347826,
196
+ "eval_f1_class_7": 0.9019607843137255,
197
+ "eval_f1_class_8": 0.6274509803921569,
198
+ "eval_f1_class_9": 0.8627450980392157,
199
+ "eval_f1_macro": 0.7622640429079891,
200
+ "eval_f1_weighted": 0.7628623647339323,
201
+ "eval_loss": 1.312013864517212,
202
+ "eval_precision_macro": 0.8140437018697889,
203
+ "eval_precision_weighted": 0.8017353312280849,
204
+ "eval_recall_macro": 0.7698436078063214,
205
+ "eval_recall_weighted": 0.7777777777777778,
206
+ "eval_runtime": 0.3727,
207
+ "eval_samples_per_second": 482.939,
208
+ "eval_steps_per_second": 2.683,
209
+ "step": 48
210
+ },
211
+ {
212
+ "epoch": 8.363636363636363,
213
+ "grad_norm": 1.4433997869491577,
214
+ "learning_rate": 1.617283950617284e-05,
215
+ "loss": 1.5965,
216
+ "step": 50
217
+ },
218
+ {
219
+ "epoch": 9.0,
220
+ "eval_accuracy": 0.7555555555555555,
221
+ "eval_f1_class_1": 0.8571428571428571,
222
+ "eval_f1_class_2": 0.6956521739130435,
223
+ "eval_f1_class_3": 0.5454545454545454,
224
+ "eval_f1_class_4": 0.8095238095238095,
225
+ "eval_f1_class_5": 0.88,
226
+ "eval_f1_class_6": 0.38095238095238093,
227
+ "eval_f1_class_7": 0.9583333333333334,
228
+ "eval_f1_class_8": 0.6153846153846154,
229
+ "eval_f1_class_9": 0.8627450980392157,
230
+ "eval_f1_macro": 0.7339098681937557,
231
+ "eval_f1_weighted": 0.7396587315308543,
232
+ "eval_loss": 1.2228145599365234,
233
+ "eval_precision_macro": 0.7868104118104118,
234
+ "eval_precision_weighted": 0.7780141155141155,
235
+ "eval_recall_macro": 0.7429615459397394,
236
+ "eval_recall_weighted": 0.7555555555555555,
237
+ "eval_runtime": 0.3511,
238
+ "eval_samples_per_second": 512.682,
239
+ "eval_steps_per_second": 2.848,
240
+ "step": 54
241
+ },
242
+ {
243
+ "epoch": 10.0,
244
+ "eval_accuracy": 0.7666666666666667,
245
+ "eval_f1_class_1": 0.9,
246
+ "eval_f1_class_2": 0.6818181818181818,
247
+ "eval_f1_class_3": 0.6060606060606061,
248
+ "eval_f1_class_4": 0.7804878048780488,
249
+ "eval_f1_class_5": 0.8571428571428571,
250
+ "eval_f1_class_6": 0.45454545454545453,
251
+ "eval_f1_class_7": 0.92,
252
+ "eval_f1_class_8": 0.6538461538461539,
253
+ "eval_f1_class_9": 0.88,
254
+ "eval_f1_macro": 0.7482112286990337,
255
+ "eval_f1_weighted": 0.753576160063965,
256
+ "eval_loss": 1.160414457321167,
257
+ "eval_precision_macro": 0.7897515036403926,
258
+ "eval_precision_weighted": 0.7847359019581241,
259
+ "eval_recall_macro": 0.7574109739340592,
260
+ "eval_recall_weighted": 0.7666666666666667,
261
+ "eval_runtime": 0.3614,
262
+ "eval_samples_per_second": 498.021,
263
+ "eval_steps_per_second": 2.767,
264
+ "step": 60
265
+ },
266
+ {
267
+ "epoch": 11.0,
268
+ "eval_accuracy": 0.7666666666666667,
269
+ "eval_f1_class_1": 0.9,
270
+ "eval_f1_class_2": 0.6666666666666666,
271
+ "eval_f1_class_3": 0.6060606060606061,
272
+ "eval_f1_class_4": 0.7804878048780488,
273
+ "eval_f1_class_5": 0.8461538461538461,
274
+ "eval_f1_class_6": 0.5,
275
+ "eval_f1_class_7": 0.9387755102040817,
276
+ "eval_f1_class_8": 0.6538461538461539,
277
+ "eval_f1_class_9": 0.88,
278
+ "eval_f1_macro": 0.7524433986454891,
279
+ "eval_f1_weighted": 0.757895338240286,
280
+ "eval_loss": 1.110926628112793,
281
+ "eval_precision_macro": 0.780160539049428,
282
+ "eval_precision_weighted": 0.7765173427395649,
283
+ "eval_recall_macro": 0.755399913099469,
284
+ "eval_recall_weighted": 0.7666666666666667,
285
+ "eval_runtime": 0.3601,
286
+ "eval_samples_per_second": 499.805,
287
+ "eval_steps_per_second": 2.777,
288
+ "step": 66
289
+ },
290
+ {
291
+ "epoch": 12.0,
292
+ "eval_accuracy": 0.7611111111111111,
293
+ "eval_f1_class_1": 0.9230769230769231,
294
+ "eval_f1_class_2": 0.6122448979591837,
295
+ "eval_f1_class_3": 0.5882352941176471,
296
+ "eval_f1_class_4": 0.7804878048780488,
297
+ "eval_f1_class_5": 0.8461538461538461,
298
+ "eval_f1_class_6": 0.43478260869565216,
299
+ "eval_f1_class_7": 0.96,
300
+ "eval_f1_class_8": 0.6666666666666666,
301
+ "eval_f1_class_9": 0.88,
302
+ "eval_f1_macro": 0.7435164490608853,
303
+ "eval_f1_weighted": 0.7509109303019138,
304
+ "eval_loss": 1.0815963745117188,
305
+ "eval_precision_macro": 0.7752474236644432,
306
+ "eval_precision_weighted": 0.7736567304070833,
307
+ "eval_recall_macro": 0.7488639653870506,
308
+ "eval_recall_weighted": 0.7611111111111111,
309
+ "eval_runtime": 0.3547,
310
+ "eval_samples_per_second": 507.407,
311
+ "eval_steps_per_second": 2.819,
312
+ "step": 72
313
+ }
314
+ ],
315
+ "logging_steps": 25,
316
+ "max_steps": 180,
317
+ "num_input_tokens_seen": 0,
318
+ "num_train_epochs": 30,
319
+ "save_steps": 500,
320
+ "stateful_callbacks": {
321
+ "EarlyStoppingCallback": {
322
+ "args": {
323
+ "early_stopping_patience": 5,
324
+ "early_stopping_threshold": 0.001
325
+ },
326
+ "attributes": {
327
+ "early_stopping_patience_counter": 4
328
+ }
329
+ },
330
+ "TrainerControl": {
331
+ "args": {
332
+ "should_epoch_stop": false,
333
+ "should_evaluate": false,
334
+ "should_log": false,
335
+ "should_save": true,
336
+ "should_training_stop": false
337
+ },
338
+ "attributes": {}
339
+ }
340
+ },
341
+ "total_flos": 2543391303653376.0,
342
+ "train_batch_size": 160,
343
+ "trial_name": null,
344
+ "trial_params": null
345
+ }
telecom_arabert_large_full_pipeline/checkpoint-72/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b28c2db508479b89cb58a872b64cfbcc28b46676db066513513feaca9b31a7da
3
+ size 5905