LamaDiab commited on
Commit
a0acdb2
·
verified ·
1 Parent(s): 5ab4ea5

Training checkpoint - Epoch 3, Step 161476

Browse files
checkpoint-161476/1_Pooling/config.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "word_embedding_dimension": 384,
3
+ "pooling_mode_cls_token": false,
4
+ "pooling_mode_mean_tokens": true,
5
+ "pooling_mode_max_tokens": false,
6
+ "pooling_mode_mean_sqrt_len_tokens": false,
7
+ "pooling_mode_weightedmean_tokens": false,
8
+ "pooling_mode_lasttoken": false,
9
+ "include_prompt": true
10
+ }
checkpoint-161476/config.json ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "BertModel"
4
+ ],
5
+ "attention_probs_dropout_prob": 0.1,
6
+ "classifier_dropout": null,
7
+ "gradient_checkpointing": false,
8
+ "hidden_act": "gelu",
9
+ "hidden_dropout_prob": 0.1,
10
+ "hidden_size": 384,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 1536,
13
+ "layer_norm_eps": 1e-12,
14
+ "max_position_embeddings": 512,
15
+ "model_type": "bert",
16
+ "num_attention_heads": 12,
17
+ "num_hidden_layers": 6,
18
+ "pad_token_id": 0,
19
+ "position_embedding_type": "absolute",
20
+ "torch_dtype": "float32",
21
+ "transformers_version": "4.53.3",
22
+ "type_vocab_size": 2,
23
+ "use_cache": true,
24
+ "vocab_size": 30522
25
+ }
checkpoint-161476/config_sentence_transformers.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "__version__": {
3
+ "sentence_transformers": "5.2.0",
4
+ "transformers": "4.53.3",
5
+ "pytorch": "2.6.0+cu124"
6
+ },
7
+ "model_type": "SentenceTransformer",
8
+ "prompts": {
9
+ "query": "",
10
+ "document": ""
11
+ },
12
+ "default_prompt_name": null,
13
+ "similarity_fn_name": "cosine"
14
+ }
checkpoint-161476/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c1d49a537d5b9dae10506700e5dae3af46c8d8eef7763a1c38a09a1c64dfb27b
3
+ size 90864192
checkpoint-161476/modules.json ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
2
+ {
3
+ "idx": 0,
4
+ "name": "0",
5
+ "path": "",
6
+ "type": "sentence_transformers.models.Transformer"
7
+ },
8
+ {
9
+ "idx": 1,
10
+ "name": "1",
11
+ "path": "1_Pooling",
12
+ "type": "sentence_transformers.models.Pooling"
13
+ },
14
+ {
15
+ "idx": 2,
16
+ "name": "2",
17
+ "path": "2_Normalize",
18
+ "type": "sentence_transformers.models.Normalize"
19
+ }
20
+ ]
checkpoint-161476/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1e4606676ebd2d88cf6a39d69a5856217ae63c1f8e0d6119aec5347b805ea240
3
+ size 180607738
checkpoint-161476/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4dda0d6556c8f70d46ae4b692e9f5bbd487c30f456ec1ba780bc5c501c1f3dc6
3
+ size 14244
checkpoint-161476/scaler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d722e5289cb6d4e2411a12793092de9d6ba61de09d3eb720460659cf597857c5
3
+ size 988
checkpoint-161476/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2730f26ced4e3505750358e3b0656ae43f83e745493c6884e0ff0dfd96366712
3
+ size 1064
checkpoint-161476/sentence_bert_config.json ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {
2
+ "max_seq_length": 256,
3
+ "do_lower_case": false
4
+ }
checkpoint-161476/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
+ }
checkpoint-161476/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-161476/tokenizer_config.json ADDED
@@ -0,0 +1,65 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "added_tokens_decoder": {
3
+ "0": {
4
+ "content": "[PAD]",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false,
9
+ "special": true
10
+ },
11
+ "100": {
12
+ "content": "[UNK]",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false,
17
+ "special": true
18
+ },
19
+ "101": {
20
+ "content": "[CLS]",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false,
25
+ "special": true
26
+ },
27
+ "102": {
28
+ "content": "[SEP]",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false,
33
+ "special": true
34
+ },
35
+ "103": {
36
+ "content": "[MASK]",
37
+ "lstrip": false,
38
+ "normalized": false,
39
+ "rstrip": false,
40
+ "single_word": false,
41
+ "special": true
42
+ }
43
+ },
44
+ "clean_up_tokenization_spaces": false,
45
+ "cls_token": "[CLS]",
46
+ "do_basic_tokenize": true,
47
+ "do_lower_case": true,
48
+ "extra_special_tokens": {},
49
+ "mask_token": "[MASK]",
50
+ "max_length": 128,
51
+ "model_max_length": 256,
52
+ "never_split": null,
53
+ "pad_to_multiple_of": null,
54
+ "pad_token": "[PAD]",
55
+ "pad_token_type_id": 0,
56
+ "padding_side": "right",
57
+ "sep_token": "[SEP]",
58
+ "stride": 0,
59
+ "strip_accents": null,
60
+ "tokenize_chinese_chars": true,
61
+ "tokenizer_class": "BertTokenizer",
62
+ "truncation_side": "right",
63
+ "truncation_strategy": "longest_first",
64
+ "unk_token": "[UNK]"
65
+ }
checkpoint-161476/trainer_state.json ADDED
@@ -0,0 +1,297 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 3.8478040080259603,
6
+ "eval_steps": 10000,
7
+ "global_step": 161476,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 2.477148306869132e-05,
14
+ "grad_norm": 5.107126712799072,
15
+ "learning_rate": 0.0,
16
+ "loss": 4.1291,
17
+ "step": 1
18
+ },
19
+ {
20
+ "epoch": 0.24771483068691322,
21
+ "grad_norm": 3.010230541229248,
22
+ "learning_rate": 2.4762187871581455e-06,
23
+ "loss": 3.3262,
24
+ "step": 10000
25
+ },
26
+ {
27
+ "epoch": 0.24771483068691322,
28
+ "eval_cosine_accuracy": 0.9515600204467773,
29
+ "eval_loss": 0.7596105933189392,
30
+ "eval_runtime": 26.0378,
31
+ "eval_samples_per_second": 363.127,
32
+ "eval_steps_per_second": 0.73,
33
+ "step": 10000
34
+ },
35
+ {
36
+ "epoch": 0.49542966137382644,
37
+ "grad_norm": 2.8107306957244873,
38
+ "learning_rate": 4.952437574316291e-06,
39
+ "loss": 2.689,
40
+ "step": 20000
41
+ },
42
+ {
43
+ "epoch": 0.49542966137382644,
44
+ "eval_cosine_accuracy": 0.9566367268562317,
45
+ "eval_loss": 0.7294803857803345,
46
+ "eval_runtime": 26.6173,
47
+ "eval_samples_per_second": 355.22,
48
+ "eval_steps_per_second": 0.714,
49
+ "step": 20000
50
+ },
51
+ {
52
+ "epoch": 0.7431444920607396,
53
+ "grad_norm": 3.0228993892669678,
54
+ "learning_rate": 7.428408640507333e-06,
55
+ "loss": 2.4587,
56
+ "step": 30000
57
+ },
58
+ {
59
+ "epoch": 0.7431444920607396,
60
+ "eval_cosine_accuracy": 0.9584347009658813,
61
+ "eval_loss": 0.7089734077453613,
62
+ "eval_runtime": 26.6791,
63
+ "eval_samples_per_second": 354.397,
64
+ "eval_steps_per_second": 0.712,
65
+ "step": 30000
66
+ },
67
+ {
68
+ "epoch": 0.9908593227476529,
69
+ "grad_norm": 2.387526273727417,
70
+ "learning_rate": 9.904627427665479e-06,
71
+ "loss": 2.3372,
72
+ "step": 40000
73
+ },
74
+ {
75
+ "epoch": 0.9908593227476529,
76
+ "eval_cosine_accuracy": 0.9546271562576294,
77
+ "eval_loss": 0.7039511203765869,
78
+ "eval_runtime": 26.9109,
79
+ "eval_samples_per_second": 351.344,
80
+ "eval_steps_per_second": 0.706,
81
+ "step": 40000
82
+ },
83
+ {
84
+ "epoch": 1.2385741534345662,
85
+ "grad_norm": 2.3799750804901123,
86
+ "learning_rate": 1.2380846214823623e-05,
87
+ "loss": 2.2443,
88
+ "step": 50000
89
+ },
90
+ {
91
+ "epoch": 1.2385741534345662,
92
+ "eval_cosine_accuracy": 0.9624537229537964,
93
+ "eval_loss": 0.6768600344657898,
94
+ "eval_runtime": 28.1462,
95
+ "eval_samples_per_second": 335.925,
96
+ "eval_steps_per_second": 0.675,
97
+ "step": 50000
98
+ },
99
+ {
100
+ "epoch": 1.4862889841214795,
101
+ "grad_norm": 2.243985176086426,
102
+ "learning_rate": 1.4856817281014666e-05,
103
+ "loss": 2.152,
104
+ "step": 60000
105
+ },
106
+ {
107
+ "epoch": 1.4862889841214795,
108
+ "eval_cosine_accuracy": 0.9629825353622437,
109
+ "eval_loss": 0.6565244793891907,
110
+ "eval_runtime": 27.0609,
111
+ "eval_samples_per_second": 349.397,
112
+ "eval_steps_per_second": 0.702,
113
+ "step": 60000
114
+ },
115
+ {
116
+ "epoch": 1.7340038148083927,
117
+ "grad_norm": 2.473121404647827,
118
+ "learning_rate": 1.733303606817281e-05,
119
+ "loss": 2.0972,
120
+ "step": 70000
121
+ },
122
+ {
123
+ "epoch": 1.7340038148083927,
124
+ "eval_cosine_accuracy": 0.9632998704910278,
125
+ "eval_loss": 0.6459464430809021,
126
+ "eval_runtime": 26.1365,
127
+ "eval_samples_per_second": 361.754,
128
+ "eval_steps_per_second": 0.727,
129
+ "step": 70000
130
+ },
131
+ {
132
+ "epoch": 1.981718645495306,
133
+ "grad_norm": 2.185279130935669,
134
+ "learning_rate": 1.9809254855330957e-05,
135
+ "loss": 2.0551,
136
+ "step": 80000
137
+ },
138
+ {
139
+ "epoch": 1.981718645495306,
140
+ "eval_cosine_accuracy": 0.9638286828994751,
141
+ "eval_loss": 0.6375178694725037,
142
+ "eval_runtime": 27.5082,
143
+ "eval_samples_per_second": 343.716,
144
+ "eval_steps_per_second": 0.691,
145
+ "step": 80000
146
+ },
147
+ {
148
+ "epoch": 2.078079714632515,
149
+ "grad_norm": 2.0905165672302246,
150
+ "learning_rate": 1.9362954041291794e-05,
151
+ "loss": 1.357,
152
+ "step": 90000
153
+ },
154
+ {
155
+ "epoch": 2.078079714632515,
156
+ "eval_cosine_accuracy": 0.962136447429657,
157
+ "eval_loss": 0.6513386368751526,
158
+ "eval_runtime": 29.0956,
159
+ "eval_samples_per_second": 324.964,
160
+ "eval_steps_per_second": 0.653,
161
+ "step": 90000
162
+ },
163
+ {
164
+ "epoch": 2.3257945453194284,
165
+ "grad_norm": 2.303090810775757,
166
+ "learning_rate": 1.7331262229438458e-05,
167
+ "loss": 2.0044,
168
+ "step": 100000
169
+ },
170
+ {
171
+ "epoch": 2.3257945453194284,
172
+ "eval_cosine_accuracy": 0.9637228846549988,
173
+ "eval_loss": 0.6505403518676758,
174
+ "eval_runtime": 27.1804,
175
+ "eval_samples_per_second": 347.86,
176
+ "eval_steps_per_second": 0.699,
177
+ "step": 100000
178
+ },
179
+ {
180
+ "epoch": 2.5735093760063417,
181
+ "grad_norm": 2.1236724853515625,
182
+ "learning_rate": 1.4204345622420425e-05,
183
+ "loss": 1.9816,
184
+ "step": 110000
185
+ },
186
+ {
187
+ "epoch": 2.5735093760063417,
188
+ "eval_cosine_accuracy": 0.9638286828994751,
189
+ "eval_loss": 0.6360126733779907,
190
+ "eval_runtime": 27.6037,
191
+ "eval_samples_per_second": 342.527,
192
+ "eval_steps_per_second": 0.688,
193
+ "step": 110000
194
+ },
195
+ {
196
+ "epoch": 2.8212242066932545,
197
+ "grad_norm": 2.01153302192688,
198
+ "learning_rate": 1.0449259129695853e-05,
199
+ "loss": 1.9647,
200
+ "step": 120000
201
+ },
202
+ {
203
+ "epoch": 2.8212242066932545,
204
+ "eval_cosine_accuracy": 0.9639344215393066,
205
+ "eval_loss": 0.646002471446991,
206
+ "eval_runtime": 26.695,
207
+ "eval_samples_per_second": 354.186,
208
+ "eval_steps_per_second": 0.712,
209
+ "step": 120000
210
+ },
211
+ {
212
+ "epoch": 3.0680968069558325,
213
+ "grad_norm": 2.065314292907715,
214
+ "learning_rate": 6.628514213182956e-06,
215
+ "loss": 1.2997,
216
+ "step": 130000
217
+ },
218
+ {
219
+ "epoch": 3.0680968069558325,
220
+ "eval_cosine_accuracy": 0.9647805690765381,
221
+ "eval_loss": 0.6370704770088196,
222
+ "eval_runtime": 26.4596,
223
+ "eval_samples_per_second": 357.337,
224
+ "eval_steps_per_second": 0.718,
225
+ "step": 130000
226
+ },
227
+ {
228
+ "epoch": 3.315811637642746,
229
+ "grad_norm": 2.0722827911376953,
230
+ "learning_rate": 3.3090794888600374e-06,
231
+ "loss": 1.9444,
232
+ "step": 140000
233
+ },
234
+ {
235
+ "epoch": 3.315811637642746,
236
+ "eval_cosine_accuracy": 0.9648863077163696,
237
+ "eval_loss": 0.6383876204490662,
238
+ "eval_runtime": 27.6465,
239
+ "eval_samples_per_second": 341.996,
240
+ "eval_steps_per_second": 0.687,
241
+ "step": 140000
242
+ },
243
+ {
244
+ "epoch": 3.563526468329659,
245
+ "grad_norm": 2.045346975326538,
246
+ "learning_rate": 9.906007538007667e-07,
247
+ "loss": 1.9387,
248
+ "step": 150000
249
+ },
250
+ {
251
+ "epoch": 3.563526468329659,
252
+ "eval_cosine_accuracy": 0.9655208587646484,
253
+ "eval_loss": 0.6318914890289307,
254
+ "eval_runtime": 27.3467,
255
+ "eval_samples_per_second": 345.745,
256
+ "eval_steps_per_second": 0.695,
257
+ "step": 150000
258
+ },
259
+ {
260
+ "epoch": 3.8112412990165723,
261
+ "grad_norm": 2.1405978202819824,
262
+ "learning_rate": 1.7947491247399808e-08,
263
+ "loss": 1.9365,
264
+ "step": 160000
265
+ },
266
+ {
267
+ "epoch": 3.8112412990165723,
268
+ "eval_cosine_accuracy": 0.9657323956489563,
269
+ "eval_loss": 0.6346824169158936,
270
+ "eval_runtime": 27.7227,
271
+ "eval_samples_per_second": 341.057,
272
+ "eval_steps_per_second": 0.685,
273
+ "step": 160000
274
+ }
275
+ ],
276
+ "logging_steps": 10000,
277
+ "max_steps": 161476,
278
+ "num_input_tokens_seen": 0,
279
+ "num_train_epochs": 4,
280
+ "save_steps": 30000,
281
+ "stateful_callbacks": {
282
+ "TrainerControl": {
283
+ "args": {
284
+ "should_epoch_stop": false,
285
+ "should_evaluate": false,
286
+ "should_log": false,
287
+ "should_save": true,
288
+ "should_training_stop": true
289
+ },
290
+ "attributes": {}
291
+ }
292
+ },
293
+ "total_flos": 0.0,
294
+ "train_batch_size": 512,
295
+ "trial_name": null,
296
+ "trial_params": null
297
+ }
checkpoint-161476/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:921a1e58514b9aa439f909f1b000ff6ebe32e53b418fee3f07bd4da2ea654088
3
+ size 5624
checkpoint-161476/training_metrics.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metrics_history": [
3
+ {
4
+ "epoch": 3.0680968069558325,
5
+ "global_step": 130000,
6
+ "eval_loss": 0.6370704770088196,
7
+ "eval_cosine_accuracy": 0.9647805690765381
8
+ },
9
+ {
10
+ "epoch": 3.315811637642746,
11
+ "global_step": 140000,
12
+ "eval_loss": 0.6383876204490662,
13
+ "eval_cosine_accuracy": 0.9648863077163696
14
+ },
15
+ {
16
+ "epoch": 3.563526468329659,
17
+ "global_step": 150000,
18
+ "eval_loss": 0.6318914890289307,
19
+ "eval_cosine_accuracy": 0.9655208587646484
20
+ },
21
+ {
22
+ "epoch": 3.8112412990165723,
23
+ "global_step": 160000,
24
+ "eval_loss": 0.6346824169158936,
25
+ "eval_cosine_accuracy": 0.9657323956489563
26
+ }
27
+ ],
28
+ "current_epoch": 3,
29
+ "global_step": 161476
30
+ }
checkpoint-161476/vocab.txt ADDED
The diff for this file is too large to render. See raw diff