florentgbelidji HF staff commited on
Commit
8abf5a8
1 Parent(s): 8aefa3c

Model save

Browse files
README.md ADDED
@@ -0,0 +1,56 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: LeoLM/leo-hessianai-13b
3
+ tags:
4
+ - generated_from_trainer
5
+ model-index:
6
+ - name: leoLM-13b-sft-lora-oa
7
+ results: []
8
+ ---
9
+
10
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
11
+ should probably proofread and complete it, then remove this comment. -->
12
+
13
+ # leoLM-13b-sft-lora-oa
14
+
15
+ This model is a fine-tuned version of [LeoLM/leo-hessianai-13b](https://huggingface.co/LeoLM/leo-hessianai-13b) on an unknown dataset.
16
+
17
+ ## Model description
18
+
19
+ More information needed
20
+
21
+ ## Intended uses & limitations
22
+
23
+ More information needed
24
+
25
+ ## Training and evaluation data
26
+
27
+ More information needed
28
+
29
+ ## Training procedure
30
+
31
+ ### Training hyperparameters
32
+
33
+ The following hyperparameters were used during training:
34
+ - learning_rate: 2e-05
35
+ - train_batch_size: 1
36
+ - eval_batch_size: 1
37
+ - seed: 42
38
+ - distributed_type: multi-GPU
39
+ - num_devices: 4
40
+ - gradient_accumulation_steps: 4
41
+ - total_train_batch_size: 16
42
+ - total_eval_batch_size: 4
43
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
44
+ - lr_scheduler_type: cosine
45
+ - num_epochs: 1
46
+
47
+ ### Training results
48
+
49
+
50
+
51
+ ### Framework versions
52
+
53
+ - Transformers 4.35.0
54
+ - Pytorch 2.1.1
55
+ - Datasets 2.15.0
56
+ - Tokenizers 0.14.1
adapter_config.json ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "LeoLM/leo-hessianai-13b",
5
+ "bias": "none",
6
+ "fan_in_fan_out": false,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layers_pattern": null,
10
+ "layers_to_transform": null,
11
+ "lora_alpha": 16,
12
+ "lora_dropout": 0.1,
13
+ "modules_to_save": null,
14
+ "peft_type": "LORA",
15
+ "r": 64,
16
+ "rank_pattern": {},
17
+ "revision": null,
18
+ "target_modules": [
19
+ "q_proj",
20
+ "o_proj",
21
+ "k_proj",
22
+ "v_proj"
23
+ ],
24
+ "task_type": "CAUSAL_LM"
25
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:96611475611e845c7f5f00e9274f0c2505e1d5e6b3739ed3f10f4ed0daf6f711
3
+ size 419474032
all_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 0.48,
3
+ "train_loss": 1.2715962869858524,
4
+ "train_runtime": 6114.717,
5
+ "train_samples": 18192,
6
+ "train_samples_per_second": 2.975,
7
+ "train_steps_per_second": 0.186
8
+ }
special_tokens_map.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": "</s>",
17
+ "unk_token": {
18
+ "content": "<unk>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ }
24
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "added_tokens_decoder": {
3
+ "0": {
4
+ "content": "<unk>",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false,
9
+ "special": true
10
+ },
11
+ "1": {
12
+ "content": "<s>",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false,
17
+ "special": true
18
+ },
19
+ "2": {
20
+ "content": "</s>",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false,
25
+ "special": true
26
+ }
27
+ },
28
+ "bos_token": "<s>",
29
+ "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
30
+ "clean_up_tokenization_spaces": false,
31
+ "eos_token": "</s>",
32
+ "legacy": false,
33
+ "model_max_length": 2048,
34
+ "pad_token": "</s>",
35
+ "padding_side": "right",
36
+ "sp_model_kwargs": {},
37
+ "tokenizer_class": "LlamaTokenizer",
38
+ "unk_token": "<unk>",
39
+ "use_default_system_prompt": true
40
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 0.48,
3
+ "train_loss": 1.2715962869858524,
4
+ "train_runtime": 6114.717,
5
+ "train_samples": 18192,
6
+ "train_samples_per_second": 2.975,
7
+ "train_steps_per_second": 0.186
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,688 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.4793315743183817,
5
+ "eval_steps": 500,
6
+ "global_step": 545,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0,
13
+ "learning_rate": 1.999996182768104e-05,
14
+ "loss": 1.6889,
15
+ "step": 1
16
+ },
17
+ {
18
+ "epoch": 0.0,
19
+ "learning_rate": 1.9999045706597178e-05,
20
+ "loss": 1.5727,
21
+ "step": 5
22
+ },
23
+ {
24
+ "epoch": 0.01,
25
+ "learning_rate": 1.999618300852388e-05,
26
+ "loss": 1.5409,
27
+ "step": 10
28
+ },
29
+ {
30
+ "epoch": 0.01,
31
+ "learning_rate": 1.999141245215089e-05,
32
+ "loss": 1.4338,
33
+ "step": 15
34
+ },
35
+ {
36
+ "epoch": 0.02,
37
+ "learning_rate": 1.99847349479803e-05,
38
+ "loss": 1.5329,
39
+ "step": 20
40
+ },
41
+ {
42
+ "epoch": 0.02,
43
+ "learning_rate": 1.9976151770471746e-05,
44
+ "loss": 1.4317,
45
+ "step": 25
46
+ },
47
+ {
48
+ "epoch": 0.03,
49
+ "learning_rate": 1.9965664557799164e-05,
50
+ "loss": 1.518,
51
+ "step": 30
52
+ },
53
+ {
54
+ "epoch": 0.03,
55
+ "learning_rate": 1.9953275311538124e-05,
56
+ "loss": 1.4521,
57
+ "step": 35
58
+ },
59
+ {
60
+ "epoch": 0.04,
61
+ "learning_rate": 1.993898639628382e-05,
62
+ "loss": 1.46,
63
+ "step": 40
64
+ },
65
+ {
66
+ "epoch": 0.04,
67
+ "learning_rate": 1.992280053919977e-05,
68
+ "loss": 1.3848,
69
+ "step": 45
70
+ },
71
+ {
72
+ "epoch": 0.04,
73
+ "learning_rate": 1.99047208294973e-05,
74
+ "loss": 1.3426,
75
+ "step": 50
76
+ },
77
+ {
78
+ "epoch": 0.05,
79
+ "learning_rate": 1.9884750717845945e-05,
80
+ "loss": 1.3429,
81
+ "step": 55
82
+ },
83
+ {
84
+ "epoch": 0.05,
85
+ "learning_rate": 1.9862894015714866e-05,
86
+ "loss": 1.3541,
87
+ "step": 60
88
+ },
89
+ {
90
+ "epoch": 0.06,
91
+ "learning_rate": 1.9839154894645393e-05,
92
+ "loss": 1.309,
93
+ "step": 65
94
+ },
95
+ {
96
+ "epoch": 0.06,
97
+ "learning_rate": 1.9813537885454854e-05,
98
+ "loss": 1.3096,
99
+ "step": 70
100
+ },
101
+ {
102
+ "epoch": 0.07,
103
+ "learning_rate": 1.9786047877371823e-05,
104
+ "loss": 1.2657,
105
+ "step": 75
106
+ },
107
+ {
108
+ "epoch": 0.07,
109
+ "learning_rate": 1.975669011710297e-05,
110
+ "loss": 1.3209,
111
+ "step": 80
112
+ },
113
+ {
114
+ "epoch": 0.07,
115
+ "learning_rate": 1.972547020783168e-05,
116
+ "loss": 1.2896,
117
+ "step": 85
118
+ },
119
+ {
120
+ "epoch": 0.08,
121
+ "learning_rate": 1.969239410814865e-05,
122
+ "loss": 1.2634,
123
+ "step": 90
124
+ },
125
+ {
126
+ "epoch": 0.08,
127
+ "learning_rate": 1.9657468130914626e-05,
128
+ "loss": 1.2756,
129
+ "step": 95
130
+ },
131
+ {
132
+ "epoch": 0.09,
133
+ "learning_rate": 1.962069894205553e-05,
134
+ "loss": 1.2675,
135
+ "step": 100
136
+ },
137
+ {
138
+ "epoch": 0.09,
139
+ "learning_rate": 1.9582093559290242e-05,
140
+ "loss": 1.2907,
141
+ "step": 105
142
+ },
143
+ {
144
+ "epoch": 0.1,
145
+ "learning_rate": 1.9541659350791174e-05,
146
+ "loss": 1.2533,
147
+ "step": 110
148
+ },
149
+ {
150
+ "epoch": 0.1,
151
+ "learning_rate": 1.9499404033778016e-05,
152
+ "loss": 1.2639,
153
+ "step": 115
154
+ },
155
+ {
156
+ "epoch": 0.11,
157
+ "learning_rate": 1.9455335673044817e-05,
158
+ "loss": 1.3001,
159
+ "step": 120
160
+ },
161
+ {
162
+ "epoch": 0.11,
163
+ "learning_rate": 1.9409462679420757e-05,
164
+ "loss": 1.2534,
165
+ "step": 125
166
+ },
167
+ {
168
+ "epoch": 0.11,
169
+ "learning_rate": 1.9361793808164878e-05,
170
+ "loss": 1.3083,
171
+ "step": 130
172
+ },
173
+ {
174
+ "epoch": 0.12,
175
+ "learning_rate": 1.931233815729505e-05,
176
+ "loss": 1.2891,
177
+ "step": 135
178
+ },
179
+ {
180
+ "epoch": 0.12,
181
+ "learning_rate": 1.9261105165851546e-05,
182
+ "loss": 1.2565,
183
+ "step": 140
184
+ },
185
+ {
186
+ "epoch": 0.13,
187
+ "learning_rate": 1.920810461209551e-05,
188
+ "loss": 1.265,
189
+ "step": 145
190
+ },
191
+ {
192
+ "epoch": 0.13,
193
+ "learning_rate": 1.9153346611642706e-05,
194
+ "loss": 1.253,
195
+ "step": 150
196
+ },
197
+ {
198
+ "epoch": 0.14,
199
+ "learning_rate": 1.909684161553285e-05,
200
+ "loss": 1.299,
201
+ "step": 155
202
+ },
203
+ {
204
+ "epoch": 0.14,
205
+ "learning_rate": 1.903860040823494e-05,
206
+ "loss": 1.2302,
207
+ "step": 160
208
+ },
209
+ {
210
+ "epoch": 0.15,
211
+ "learning_rate": 1.8978634105588963e-05,
212
+ "loss": 1.2977,
213
+ "step": 165
214
+ },
215
+ {
216
+ "epoch": 0.15,
217
+ "learning_rate": 1.8916954152684315e-05,
218
+ "loss": 1.2638,
219
+ "step": 170
220
+ },
221
+ {
222
+ "epoch": 0.15,
223
+ "learning_rate": 1.8853572321675428e-05,
224
+ "loss": 1.2513,
225
+ "step": 175
226
+ },
227
+ {
228
+ "epoch": 0.16,
229
+ "learning_rate": 1.8788500709534934e-05,
230
+ "loss": 1.2284,
231
+ "step": 180
232
+ },
233
+ {
234
+ "epoch": 0.16,
235
+ "learning_rate": 1.8721751735744873e-05,
236
+ "loss": 1.234,
237
+ "step": 185
238
+ },
239
+ {
240
+ "epoch": 0.17,
241
+ "learning_rate": 1.8653338139926313e-05,
242
+ "loss": 1.2946,
243
+ "step": 190
244
+ },
245
+ {
246
+ "epoch": 0.17,
247
+ "learning_rate": 1.8583272979407885e-05,
248
+ "loss": 1.2923,
249
+ "step": 195
250
+ },
251
+ {
252
+ "epoch": 0.18,
253
+ "learning_rate": 1.8511569626733673e-05,
254
+ "loss": 1.3634,
255
+ "step": 200
256
+ },
257
+ {
258
+ "epoch": 0.18,
259
+ "learning_rate": 1.8438241767110972e-05,
260
+ "loss": 1.3127,
261
+ "step": 205
262
+ },
263
+ {
264
+ "epoch": 0.18,
265
+ "learning_rate": 1.8363303395798305e-05,
266
+ "loss": 1.2428,
267
+ "step": 210
268
+ },
269
+ {
270
+ "epoch": 0.19,
271
+ "learning_rate": 1.828676881543435e-05,
272
+ "loss": 1.2556,
273
+ "step": 215
274
+ },
275
+ {
276
+ "epoch": 0.19,
277
+ "learning_rate": 1.8208652633308136e-05,
278
+ "loss": 1.2945,
279
+ "step": 220
280
+ },
281
+ {
282
+ "epoch": 0.2,
283
+ "learning_rate": 1.812896975857111e-05,
284
+ "loss": 1.2345,
285
+ "step": 225
286
+ },
287
+ {
288
+ "epoch": 0.2,
289
+ "learning_rate": 1.804773539939161e-05,
290
+ "loss": 1.2595,
291
+ "step": 230
292
+ },
293
+ {
294
+ "epoch": 0.21,
295
+ "learning_rate": 1.7964965060052243e-05,
296
+ "loss": 1.3029,
297
+ "step": 235
298
+ },
299
+ {
300
+ "epoch": 0.21,
301
+ "learning_rate": 1.788067453799077e-05,
302
+ "loss": 1.2565,
303
+ "step": 240
304
+ },
305
+ {
306
+ "epoch": 0.22,
307
+ "learning_rate": 1.7794879920785015e-05,
308
+ "loss": 1.2432,
309
+ "step": 245
310
+ },
311
+ {
312
+ "epoch": 0.22,
313
+ "learning_rate": 1.770759758308241e-05,
314
+ "loss": 1.2086,
315
+ "step": 250
316
+ },
317
+ {
318
+ "epoch": 0.22,
319
+ "learning_rate": 1.7618844183474775e-05,
320
+ "loss": 1.2351,
321
+ "step": 255
322
+ },
323
+ {
324
+ "epoch": 0.23,
325
+ "learning_rate": 1.752863666131885e-05,
326
+ "loss": 1.2635,
327
+ "step": 260
328
+ },
329
+ {
330
+ "epoch": 0.23,
331
+ "learning_rate": 1.7436992233503288e-05,
332
+ "loss": 1.1707,
333
+ "step": 265
334
+ },
335
+ {
336
+ "epoch": 0.24,
337
+ "learning_rate": 1.7343928391162673e-05,
338
+ "loss": 1.2742,
339
+ "step": 270
340
+ },
341
+ {
342
+ "epoch": 0.24,
343
+ "learning_rate": 1.7249462896339153e-05,
344
+ "loss": 1.2808,
345
+ "step": 275
346
+ },
347
+ {
348
+ "epoch": 0.25,
349
+ "learning_rate": 1.7153613778592435e-05,
350
+ "loss": 1.2544,
351
+ "step": 280
352
+ },
353
+ {
354
+ "epoch": 0.25,
355
+ "learning_rate": 1.705639933155866e-05,
356
+ "loss": 1.2833,
357
+ "step": 285
358
+ },
359
+ {
360
+ "epoch": 0.26,
361
+ "learning_rate": 1.695783810945892e-05,
362
+ "loss": 1.2681,
363
+ "step": 290
364
+ },
365
+ {
366
+ "epoch": 0.26,
367
+ "learning_rate": 1.685794892355803e-05,
368
+ "loss": 1.2044,
369
+ "step": 295
370
+ },
371
+ {
372
+ "epoch": 0.26,
373
+ "learning_rate": 1.6756750838574197e-05,
374
+ "loss": 1.225,
375
+ "step": 300
376
+ },
377
+ {
378
+ "epoch": 0.27,
379
+ "learning_rate": 1.6654263169040413e-05,
380
+ "loss": 1.272,
381
+ "step": 305
382
+ },
383
+ {
384
+ "epoch": 0.27,
385
+ "learning_rate": 1.6550505475618054e-05,
386
+ "loss": 1.1861,
387
+ "step": 310
388
+ },
389
+ {
390
+ "epoch": 0.28,
391
+ "learning_rate": 1.644549756136358e-05,
392
+ "loss": 1.2229,
393
+ "step": 315
394
+ },
395
+ {
396
+ "epoch": 0.28,
397
+ "learning_rate": 1.6339259467948965e-05,
398
+ "loss": 1.2541,
399
+ "step": 320
400
+ },
401
+ {
402
+ "epoch": 0.29,
403
+ "learning_rate": 1.6231811471836535e-05,
404
+ "loss": 1.2025,
405
+ "step": 325
406
+ },
407
+ {
408
+ "epoch": 0.29,
409
+ "learning_rate": 1.6123174080409055e-05,
410
+ "loss": 1.2166,
411
+ "step": 330
412
+ },
413
+ {
414
+ "epoch": 0.29,
415
+ "learning_rate": 1.6013368028055724e-05,
416
+ "loss": 1.249,
417
+ "step": 335
418
+ },
419
+ {
420
+ "epoch": 0.3,
421
+ "learning_rate": 1.5902414272214804e-05,
422
+ "loss": 1.2098,
423
+ "step": 340
424
+ },
425
+ {
426
+ "epoch": 0.3,
427
+ "learning_rate": 1.5790333989373738e-05,
428
+ "loss": 1.2635,
429
+ "step": 345
430
+ },
431
+ {
432
+ "epoch": 0.31,
433
+ "learning_rate": 1.567714857102743e-05,
434
+ "loss": 1.2451,
435
+ "step": 350
436
+ },
437
+ {
438
+ "epoch": 0.31,
439
+ "learning_rate": 1.5562879619595486e-05,
440
+ "loss": 1.2561,
441
+ "step": 355
442
+ },
443
+ {
444
+ "epoch": 0.32,
445
+ "learning_rate": 1.5447548944299203e-05,
446
+ "loss": 1.2773,
447
+ "step": 360
448
+ },
449
+ {
450
+ "epoch": 0.32,
451
+ "learning_rate": 1.5331178556999094e-05,
452
+ "loss": 1.2215,
453
+ "step": 365
454
+ },
455
+ {
456
+ "epoch": 0.33,
457
+ "learning_rate": 1.5213790667993742e-05,
458
+ "loss": 1.1732,
459
+ "step": 370
460
+ },
461
+ {
462
+ "epoch": 0.33,
463
+ "learning_rate": 1.5095407681780753e-05,
464
+ "loss": 1.2401,
465
+ "step": 375
466
+ },
467
+ {
468
+ "epoch": 0.33,
469
+ "learning_rate": 1.497605219278068e-05,
470
+ "loss": 1.2051,
471
+ "step": 380
472
+ },
473
+ {
474
+ "epoch": 0.34,
475
+ "learning_rate": 1.4855746981024667e-05,
476
+ "loss": 1.2675,
477
+ "step": 385
478
+ },
479
+ {
480
+ "epoch": 0.34,
481
+ "learning_rate": 1.4734515007806698e-05,
482
+ "loss": 1.2195,
483
+ "step": 390
484
+ },
485
+ {
486
+ "epoch": 0.35,
487
+ "learning_rate": 1.4612379411301225e-05,
488
+ "loss": 1.2506,
489
+ "step": 395
490
+ },
491
+ {
492
+ "epoch": 0.35,
493
+ "learning_rate": 1.4489363502147045e-05,
494
+ "loss": 1.2441,
495
+ "step": 400
496
+ },
497
+ {
498
+ "epoch": 0.36,
499
+ "learning_rate": 1.4365490758998268e-05,
500
+ "loss": 1.2906,
501
+ "step": 405
502
+ },
503
+ {
504
+ "epoch": 0.36,
505
+ "learning_rate": 1.424078482404321e-05,
506
+ "loss": 1.186,
507
+ "step": 410
508
+ },
509
+ {
510
+ "epoch": 0.36,
511
+ "learning_rate": 1.4115269498492075e-05,
512
+ "loss": 1.2911,
513
+ "step": 415
514
+ },
515
+ {
516
+ "epoch": 0.37,
517
+ "learning_rate": 1.3988968738034285e-05,
518
+ "loss": 1.2135,
519
+ "step": 420
520
+ },
521
+ {
522
+ "epoch": 0.37,
523
+ "learning_rate": 1.3861906648266339e-05,
524
+ "loss": 1.2365,
525
+ "step": 425
526
+ },
527
+ {
528
+ "epoch": 0.38,
529
+ "learning_rate": 1.3734107480091041e-05,
530
+ "loss": 1.2167,
531
+ "step": 430
532
+ },
533
+ {
534
+ "epoch": 0.38,
535
+ "learning_rate": 1.3605595625089006e-05,
536
+ "loss": 1.228,
537
+ "step": 435
538
+ },
539
+ {
540
+ "epoch": 0.39,
541
+ "learning_rate": 1.3476395610863314e-05,
542
+ "loss": 1.2487,
543
+ "step": 440
544
+ },
545
+ {
546
+ "epoch": 0.39,
547
+ "learning_rate": 1.3346532096358206e-05,
548
+ "loss": 1.2096,
549
+ "step": 445
550
+ },
551
+ {
552
+ "epoch": 0.4,
553
+ "learning_rate": 1.3216029867152724e-05,
554
+ "loss": 1.2412,
555
+ "step": 450
556
+ },
557
+ {
558
+ "epoch": 0.4,
559
+ "learning_rate": 1.308491383073014e-05,
560
+ "loss": 1.2388,
561
+ "step": 455
562
+ },
563
+ {
564
+ "epoch": 0.4,
565
+ "learning_rate": 1.2953209011724159e-05,
566
+ "loss": 1.1793,
567
+ "step": 460
568
+ },
569
+ {
570
+ "epoch": 0.41,
571
+ "learning_rate": 1.2820940547142773e-05,
572
+ "loss": 1.241,
573
+ "step": 465
574
+ },
575
+ {
576
+ "epoch": 0.41,
577
+ "learning_rate": 1.2688133681570604e-05,
578
+ "loss": 1.1933,
579
+ "step": 470
580
+ },
581
+ {
582
+ "epoch": 0.42,
583
+ "learning_rate": 1.255481376235079e-05,
584
+ "loss": 1.2435,
585
+ "step": 475
586
+ },
587
+ {
588
+ "epoch": 0.42,
589
+ "learning_rate": 1.2421006234747202e-05,
590
+ "loss": 1.2284,
591
+ "step": 480
592
+ },
593
+ {
594
+ "epoch": 0.43,
595
+ "learning_rate": 1.2286736637088012e-05,
596
+ "loss": 1.2461,
597
+ "step": 485
598
+ },
599
+ {
600
+ "epoch": 0.43,
601
+ "learning_rate": 1.2152030595891467e-05,
602
+ "loss": 1.2313,
603
+ "step": 490
604
+ },
605
+ {
606
+ "epoch": 0.44,
607
+ "learning_rate": 1.2016913820974855e-05,
608
+ "loss": 1.2388,
609
+ "step": 495
610
+ },
611
+ {
612
+ "epoch": 0.44,
613
+ "learning_rate": 1.1881412100547558e-05,
614
+ "loss": 1.2047,
615
+ "step": 500
616
+ },
617
+ {
618
+ "epoch": 0.44,
619
+ "learning_rate": 1.1745551296289151e-05,
620
+ "loss": 1.2011,
621
+ "step": 505
622
+ },
623
+ {
624
+ "epoch": 0.45,
625
+ "learning_rate": 1.1609357338413476e-05,
626
+ "loss": 1.1965,
627
+ "step": 510
628
+ },
629
+ {
630
+ "epoch": 0.45,
631
+ "learning_rate": 1.147285622071963e-05,
632
+ "loss": 1.259,
633
+ "step": 515
634
+ },
635
+ {
636
+ "epoch": 0.46,
637
+ "learning_rate": 1.133607399563084e-05,
638
+ "loss": 1.2615,
639
+ "step": 520
640
+ },
641
+ {
642
+ "epoch": 0.46,
643
+ "learning_rate": 1.1199036769222104e-05,
644
+ "loss": 1.201,
645
+ "step": 525
646
+ },
647
+ {
648
+ "epoch": 0.47,
649
+ "learning_rate": 1.1061770696237648e-05,
650
+ "loss": 1.2445,
651
+ "step": 530
652
+ },
653
+ {
654
+ "epoch": 0.47,
655
+ "learning_rate": 1.0924301975099043e-05,
656
+ "loss": 1.2002,
657
+ "step": 535
658
+ },
659
+ {
660
+ "epoch": 0.47,
661
+ "learning_rate": 1.0786656842905028e-05,
662
+ "loss": 1.2267,
663
+ "step": 540
664
+ },
665
+ {
666
+ "epoch": 0.48,
667
+ "learning_rate": 1.0648861570423919e-05,
668
+ "loss": 1.2257,
669
+ "step": 545
670
+ },
671
+ {
672
+ "epoch": 0.48,
673
+ "step": 545,
674
+ "total_flos": 6.944922061693256e+17,
675
+ "train_loss": 1.2715962869858524,
676
+ "train_runtime": 6114.717,
677
+ "train_samples_per_second": 2.975,
678
+ "train_steps_per_second": 0.186
679
+ }
680
+ ],
681
+ "logging_steps": 5,
682
+ "max_steps": 1137,
683
+ "num_train_epochs": 1,
684
+ "save_steps": 200,
685
+ "total_flos": 6.944922061693256e+17,
686
+ "trial_name": null,
687
+ "trial_params": null
688
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5692df0547e891ed4dc8d71a47864c18f5fc7b1b044bdd100370f96c0272c3f4
3
+ size 4664