pszemraj commited on
Commit
7a56f4d
1 Parent(s): e247069

adding model files

Browse files
Files changed (6) hide show
  1. .gitignore +1 -0
  2. README.md +64 -0
  3. config.json +46 -0
  4. pytorch_model.bin +3 -0
  5. trainer_state.json +1553 -0
  6. training_args.bin +3 -0
.gitignore ADDED
@@ -0,0 +1 @@
 
 
1
+ checkpoint-*/
README.md ADDED
@@ -0,0 +1,64 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ tags:
4
+ - generated_from_trainer
5
+ model-index:
6
+ - name: distilgpt2-emailgen_DS-multi_Ep-5_Bs-8
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
+ # distilgpt2-emailgen_DS-multi_Ep-5_Bs-8
14
+
15
+ This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the None dataset.
16
+ It achieves the following results on the evaluation set:
17
+ - Loss: 2.6247
18
+
19
+ ## Model description
20
+
21
+ More information needed
22
+
23
+ ## Intended uses & limitations
24
+
25
+ More information needed
26
+
27
+ ## Training and evaluation data
28
+
29
+ More information needed
30
+
31
+ ## Training procedure
32
+
33
+ ### Training hyperparameters
34
+
35
+ The following hyperparameters were used during training:
36
+ - learning_rate: 6e-05
37
+ - train_batch_size: 8
38
+ - eval_batch_size: 8
39
+ - seed: 42
40
+ - distributed_type: multi-GPU
41
+ - gradient_accumulation_steps: 32
42
+ - total_train_batch_size: 256
43
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
44
+ - lr_scheduler_type: cosine
45
+ - lr_scheduler_warmup_ratio: 0.02
46
+ - num_epochs: 5
47
+
48
+ ### Training results
49
+
50
+ | Training Loss | Epoch | Step | Validation Loss |
51
+ |:-------------:|:-----:|:----:|:---------------:|
52
+ | 2.8299 | 1.0 | 248 | 2.7971 |
53
+ | 2.6984 | 2.0 | 496 | 2.6826 |
54
+ | 2.7022 | 3.0 | 744 | 2.6361 |
55
+ | 2.6436 | 4.0 | 992 | 2.6245 |
56
+ | 2.6195 | 5.0 | 1240 | 2.6247 |
57
+
58
+
59
+ ### Framework versions
60
+
61
+ - Transformers 4.21.1
62
+ - Pytorch 1.12.0+cu113
63
+ - Datasets 2.4.0
64
+ - Tokenizers 0.12.1
config.json ADDED
@@ -0,0 +1,46 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "distilgpt2",
3
+ "_num_labels": 1,
4
+ "activation_function": "gelu_new",
5
+ "architectures": [
6
+ "GPT2LMHeadModel"
7
+ ],
8
+ "attn_pdrop": 0.1,
9
+ "bos_token_id": 50256,
10
+ "embd_pdrop": 0.1,
11
+ "eos_token_id": 50256,
12
+ "id2label": {
13
+ "0": "LABEL_0"
14
+ },
15
+ "initializer_range": 0.02,
16
+ "label2id": {
17
+ "LABEL_0": 0
18
+ },
19
+ "layer_norm_epsilon": 1e-05,
20
+ "model_type": "gpt2",
21
+ "n_ctx": 1024,
22
+ "n_embd": 768,
23
+ "n_head": 12,
24
+ "n_inner": null,
25
+ "n_layer": 6,
26
+ "n_positions": 1024,
27
+ "reorder_and_upcast_attn": false,
28
+ "resid_pdrop": 0.1,
29
+ "scale_attn_by_inverse_layer_idx": false,
30
+ "scale_attn_weights": true,
31
+ "summary_activation": null,
32
+ "summary_first_dropout": 0.1,
33
+ "summary_proj_to_labels": true,
34
+ "summary_type": "cls_index",
35
+ "summary_use_proj": true,
36
+ "task_specific_params": {
37
+ "text-generation": {
38
+ "do_sample": true,
39
+ "max_length": 50
40
+ }
41
+ },
42
+ "torch_dtype": "float32",
43
+ "transformers_version": "4.21.1",
44
+ "use_cache": false,
45
+ "vocab_size": 50257
46
+ }
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fad802183788f166a8b6f8f9c0e4230c82058cfb9f4a6dcfed3701dd2bce0505
3
+ size 333954750
trainer_state.json ADDED
@@ -0,0 +1,1553 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 4.9984901862103674,
5
+ "global_step": 1240,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.02,
12
+ "learning_rate": 1.2e-05,
13
+ "loss": 6.4085,
14
+ "step": 5
15
+ },
16
+ {
17
+ "epoch": 0.04,
18
+ "learning_rate": 2.4e-05,
19
+ "loss": 5.2039,
20
+ "step": 10
21
+ },
22
+ {
23
+ "epoch": 0.06,
24
+ "learning_rate": 3.6e-05,
25
+ "loss": 4.8094,
26
+ "step": 15
27
+ },
28
+ {
29
+ "epoch": 0.08,
30
+ "learning_rate": 4.8e-05,
31
+ "loss": 4.3557,
32
+ "step": 20
33
+ },
34
+ {
35
+ "epoch": 0.1,
36
+ "learning_rate": 6e-05,
37
+ "loss": 4.0778,
38
+ "step": 25
39
+ },
40
+ {
41
+ "epoch": 0.12,
42
+ "learning_rate": 5.999749289566312e-05,
43
+ "loss": 3.9019,
44
+ "step": 30
45
+ },
46
+ {
47
+ "epoch": 0.14,
48
+ "learning_rate": 5.998997200169063e-05,
49
+ "loss": 3.744,
50
+ "step": 35
51
+ },
52
+ {
53
+ "epoch": 0.16,
54
+ "learning_rate": 5.9977438575126904e-05,
55
+ "loss": 3.5981,
56
+ "step": 40
57
+ },
58
+ {
59
+ "epoch": 0.18,
60
+ "learning_rate": 5.99598947108125e-05,
61
+ "loss": 3.4746,
62
+ "step": 45
63
+ },
64
+ {
65
+ "epoch": 0.2,
66
+ "learning_rate": 5.993734334103397e-05,
67
+ "loss": 3.3712,
68
+ "step": 50
69
+ },
70
+ {
71
+ "epoch": 0.22,
72
+ "learning_rate": 5.990978823503376e-05,
73
+ "loss": 3.3405,
74
+ "step": 55
75
+ },
76
+ {
77
+ "epoch": 0.24,
78
+ "learning_rate": 5.987723399838028e-05,
79
+ "loss": 3.3019,
80
+ "step": 60
81
+ },
82
+ {
83
+ "epoch": 0.26,
84
+ "learning_rate": 5.983968607219804e-05,
85
+ "loss": 3.2548,
86
+ "step": 65
87
+ },
88
+ {
89
+ "epoch": 0.28,
90
+ "learning_rate": 5.979715073225829e-05,
91
+ "loss": 3.2847,
92
+ "step": 70
93
+ },
94
+ {
95
+ "epoch": 0.3,
96
+ "learning_rate": 5.974963508793003e-05,
97
+ "loss": 3.2371,
98
+ "step": 75
99
+ },
100
+ {
101
+ "epoch": 0.32,
102
+ "learning_rate": 5.9697147080991817e-05,
103
+ "loss": 3.1677,
104
+ "step": 80
105
+ },
106
+ {
107
+ "epoch": 0.34,
108
+ "learning_rate": 5.963969548430428e-05,
109
+ "loss": 3.1617,
110
+ "step": 85
111
+ },
112
+ {
113
+ "epoch": 0.36,
114
+ "learning_rate": 5.957728990034389e-05,
115
+ "loss": 3.2266,
116
+ "step": 90
117
+ },
118
+ {
119
+ "epoch": 0.38,
120
+ "learning_rate": 5.950994075959803e-05,
121
+ "loss": 3.1008,
122
+ "step": 95
123
+ },
124
+ {
125
+ "epoch": 0.4,
126
+ "learning_rate": 5.9437659318821544e-05,
127
+ "loss": 3.0858,
128
+ "step": 100
129
+ },
130
+ {
131
+ "epoch": 0.42,
132
+ "learning_rate": 5.9360457659155325e-05,
133
+ "loss": 3.018,
134
+ "step": 105
135
+ },
136
+ {
137
+ "epoch": 0.44,
138
+ "learning_rate": 5.927834868410711e-05,
139
+ "loss": 3.0951,
140
+ "step": 110
141
+ },
142
+ {
143
+ "epoch": 0.46,
144
+ "learning_rate": 5.919134611739472e-05,
145
+ "loss": 3.1038,
146
+ "step": 115
147
+ },
148
+ {
149
+ "epoch": 0.48,
150
+ "learning_rate": 5.90994645006523e-05,
151
+ "loss": 3.0275,
152
+ "step": 120
153
+ },
154
+ {
155
+ "epoch": 0.5,
156
+ "learning_rate": 5.900271919099987e-05,
157
+ "loss": 3.0632,
158
+ "step": 125
159
+ },
160
+ {
161
+ "epoch": 0.52,
162
+ "learning_rate": 5.8901126358476414e-05,
163
+ "loss": 3.0435,
164
+ "step": 130
165
+ },
166
+ {
167
+ "epoch": 0.54,
168
+ "learning_rate": 5.8794702983337354e-05,
169
+ "loss": 3.0403,
170
+ "step": 135
171
+ },
172
+ {
173
+ "epoch": 0.56,
174
+ "learning_rate": 5.868346685321639e-05,
175
+ "loss": 3.0174,
176
+ "step": 140
177
+ },
178
+ {
179
+ "epoch": 0.58,
180
+ "learning_rate": 5.856743656015246e-05,
181
+ "loss": 2.9917,
182
+ "step": 145
183
+ },
184
+ {
185
+ "epoch": 0.6,
186
+ "learning_rate": 5.844663149748229e-05,
187
+ "loss": 2.9663,
188
+ "step": 150
189
+ },
190
+ {
191
+ "epoch": 0.62,
192
+ "learning_rate": 5.8321071856599e-05,
193
+ "loss": 2.8901,
194
+ "step": 155
195
+ },
196
+ {
197
+ "epoch": 0.64,
198
+ "learning_rate": 5.819077862357725e-05,
199
+ "loss": 2.9219,
200
+ "step": 160
201
+ },
202
+ {
203
+ "epoch": 0.66,
204
+ "learning_rate": 5.8055773575665695e-05,
205
+ "loss": 2.9779,
206
+ "step": 165
207
+ },
208
+ {
209
+ "epoch": 0.68,
210
+ "learning_rate": 5.791607927764706e-05,
211
+ "loss": 2.8977,
212
+ "step": 170
213
+ },
214
+ {
215
+ "epoch": 0.7,
216
+ "learning_rate": 5.777171907806672e-05,
217
+ "loss": 2.8961,
218
+ "step": 175
219
+ },
220
+ {
221
+ "epoch": 0.72,
222
+ "learning_rate": 5.762271710533015e-05,
223
+ "loss": 2.8841,
224
+ "step": 180
225
+ },
226
+ {
227
+ "epoch": 0.74,
228
+ "learning_rate": 5.746909826367018e-05,
229
+ "loss": 2.8661,
230
+ "step": 185
231
+ },
232
+ {
233
+ "epoch": 0.76,
234
+ "learning_rate": 5.73108882289844e-05,
235
+ "loss": 2.8671,
236
+ "step": 190
237
+ },
238
+ {
239
+ "epoch": 0.79,
240
+ "learning_rate": 5.714811344454376e-05,
241
+ "loss": 2.9775,
242
+ "step": 195
243
+ },
244
+ {
245
+ "epoch": 0.81,
246
+ "learning_rate": 5.698080111657279e-05,
247
+ "loss": 2.9726,
248
+ "step": 200
249
+ },
250
+ {
251
+ "epoch": 0.83,
252
+ "learning_rate": 5.680897920970237e-05,
253
+ "loss": 2.9081,
254
+ "step": 205
255
+ },
256
+ {
257
+ "epoch": 0.85,
258
+ "learning_rate": 5.663267644229568e-05,
259
+ "loss": 2.8349,
260
+ "step": 210
261
+ },
262
+ {
263
+ "epoch": 0.87,
264
+ "learning_rate": 5.645192228164824e-05,
265
+ "loss": 2.9355,
266
+ "step": 215
267
+ },
268
+ {
269
+ "epoch": 0.89,
270
+ "learning_rate": 5.6266746939062725e-05,
271
+ "loss": 2.904,
272
+ "step": 220
273
+ },
274
+ {
275
+ "epoch": 0.91,
276
+ "learning_rate": 5.607718136479943e-05,
277
+ "loss": 2.9315,
278
+ "step": 225
279
+ },
280
+ {
281
+ "epoch": 0.93,
282
+ "learning_rate": 5.5883257242903255e-05,
283
+ "loss": 2.8953,
284
+ "step": 230
285
+ },
286
+ {
287
+ "epoch": 0.95,
288
+ "learning_rate": 5.568500698590799e-05,
289
+ "loss": 2.818,
290
+ "step": 235
291
+ },
292
+ {
293
+ "epoch": 0.97,
294
+ "learning_rate": 5.548246372941892e-05,
295
+ "loss": 2.8779,
296
+ "step": 240
297
+ },
298
+ {
299
+ "epoch": 0.99,
300
+ "learning_rate": 5.5275661326574485e-05,
301
+ "loss": 2.8299,
302
+ "step": 245
303
+ },
304
+ {
305
+ "epoch": 1.0,
306
+ "eval_loss": 2.7971479892730713,
307
+ "eval_runtime": 163.2621,
308
+ "eval_samples_per_second": 49.638,
309
+ "eval_steps_per_second": 6.205,
310
+ "step": 248
311
+ },
312
+ {
313
+ "epoch": 1.01,
314
+ "learning_rate": 5.50646343423881e-05,
315
+ "loss": 3.1054,
316
+ "step": 250
317
+ },
318
+ {
319
+ "epoch": 1.03,
320
+ "learning_rate": 5.48494180479709e-05,
321
+ "loss": 2.8559,
322
+ "step": 255
323
+ },
324
+ {
325
+ "epoch": 1.05,
326
+ "learning_rate": 5.463004841463656e-05,
327
+ "loss": 2.8828,
328
+ "step": 260
329
+ },
330
+ {
331
+ "epoch": 1.07,
332
+ "learning_rate": 5.4406562107889024e-05,
333
+ "loss": 2.8264,
334
+ "step": 265
335
+ },
336
+ {
337
+ "epoch": 1.09,
338
+ "learning_rate": 5.417899648129423e-05,
339
+ "loss": 2.8157,
340
+ "step": 270
341
+ },
342
+ {
343
+ "epoch": 1.11,
344
+ "learning_rate": 5.3947389570236784e-05,
345
+ "loss": 2.8592,
346
+ "step": 275
347
+ },
348
+ {
349
+ "epoch": 1.13,
350
+ "learning_rate": 5.371178008556278e-05,
351
+ "loss": 2.8296,
352
+ "step": 280
353
+ },
354
+ {
355
+ "epoch": 1.15,
356
+ "learning_rate": 5.347220740710959e-05,
357
+ "loss": 2.8519,
358
+ "step": 285
359
+ },
360
+ {
361
+ "epoch": 1.17,
362
+ "learning_rate": 5.322871157712397e-05,
363
+ "loss": 2.8342,
364
+ "step": 290
365
+ },
366
+ {
367
+ "epoch": 1.19,
368
+ "learning_rate": 5.298133329356934e-05,
369
+ "loss": 2.8232,
370
+ "step": 295
371
+ },
372
+ {
373
+ "epoch": 1.21,
374
+ "learning_rate": 5.273011390332354e-05,
375
+ "loss": 2.7835,
376
+ "step": 300
377
+ },
378
+ {
379
+ "epoch": 1.23,
380
+ "learning_rate": 5.247509539526808e-05,
381
+ "loss": 2.8445,
382
+ "step": 305
383
+ },
384
+ {
385
+ "epoch": 1.25,
386
+ "learning_rate": 5.221632039327014e-05,
387
+ "loss": 2.8093,
388
+ "step": 310
389
+ },
390
+ {
391
+ "epoch": 1.27,
392
+ "learning_rate": 5.195383214905837e-05,
393
+ "loss": 2.8389,
394
+ "step": 315
395
+ },
396
+ {
397
+ "epoch": 1.29,
398
+ "learning_rate": 5.168767453499379e-05,
399
+ "loss": 2.8264,
400
+ "step": 320
401
+ },
402
+ {
403
+ "epoch": 1.31,
404
+ "learning_rate": 5.141789203673698e-05,
405
+ "loss": 2.7895,
406
+ "step": 325
407
+ },
408
+ {
409
+ "epoch": 1.33,
410
+ "learning_rate": 5.114452974581269e-05,
411
+ "loss": 2.7584,
412
+ "step": 330
413
+ },
414
+ {
415
+ "epoch": 1.35,
416
+ "learning_rate": 5.0867633352073254e-05,
417
+ "loss": 2.7946,
418
+ "step": 335
419
+ },
420
+ {
421
+ "epoch": 1.37,
422
+ "learning_rate": 5.0587249136062016e-05,
423
+ "loss": 2.7828,
424
+ "step": 340
425
+ },
426
+ {
427
+ "epoch": 1.39,
428
+ "learning_rate": 5.0303423961277864e-05,
429
+ "loss": 2.833,
430
+ "step": 345
431
+ },
432
+ {
433
+ "epoch": 1.41,
434
+ "learning_rate": 5.001620526634258e-05,
435
+ "loss": 2.7956,
436
+ "step": 350
437
+ },
438
+ {
439
+ "epoch": 1.43,
440
+ "learning_rate": 4.972564105707191e-05,
441
+ "loss": 2.8566,
442
+ "step": 355
443
+ },
444
+ {
445
+ "epoch": 1.45,
446
+ "learning_rate": 4.943177989845176e-05,
447
+ "loss": 2.7128,
448
+ "step": 360
449
+ },
450
+ {
451
+ "epoch": 1.47,
452
+ "learning_rate": 4.9134670906521176e-05,
453
+ "loss": 2.7443,
454
+ "step": 365
455
+ },
456
+ {
457
+ "epoch": 1.49,
458
+ "learning_rate": 4.883436374016296e-05,
459
+ "loss": 2.8008,
460
+ "step": 370
461
+ },
462
+ {
463
+ "epoch": 1.51,
464
+ "learning_rate": 4.8530908592803714e-05,
465
+ "loss": 2.7743,
466
+ "step": 375
467
+ },
468
+ {
469
+ "epoch": 1.53,
470
+ "learning_rate": 4.8224356184024506e-05,
471
+ "loss": 2.7487,
472
+ "step": 380
473
+ },
474
+ {
475
+ "epoch": 1.55,
476
+ "learning_rate": 4.791475775108359e-05,
477
+ "loss": 2.7707,
478
+ "step": 385
479
+ },
480
+ {
481
+ "epoch": 1.57,
482
+ "learning_rate": 4.760216504035254e-05,
483
+ "loss": 2.7924,
484
+ "step": 390
485
+ },
486
+ {
487
+ "epoch": 1.59,
488
+ "learning_rate": 4.7286630298667406e-05,
489
+ "loss": 2.8114,
490
+ "step": 395
491
+ },
492
+ {
493
+ "epoch": 1.61,
494
+ "learning_rate": 4.6968206264596164e-05,
495
+ "loss": 2.7762,
496
+ "step": 400
497
+ },
498
+ {
499
+ "epoch": 1.63,
500
+ "learning_rate": 4.664694615962391e-05,
501
+ "loss": 2.7792,
502
+ "step": 405
503
+ },
504
+ {
505
+ "epoch": 1.65,
506
+ "learning_rate": 4.632290367925748e-05,
507
+ "loss": 2.8243,
508
+ "step": 410
509
+ },
510
+ {
511
+ "epoch": 1.67,
512
+ "learning_rate": 4.5996132984050744e-05,
513
+ "loss": 2.7644,
514
+ "step": 415
515
+ },
516
+ {
517
+ "epoch": 1.69,
518
+ "learning_rate": 4.566668869055216e-05,
519
+ "loss": 2.7652,
520
+ "step": 420
521
+ },
522
+ {
523
+ "epoch": 1.71,
524
+ "learning_rate": 4.5334625862176195e-05,
525
+ "loss": 2.7722,
526
+ "step": 425
527
+ },
528
+ {
529
+ "epoch": 1.73,
530
+ "learning_rate": 4.5e-05,
531
+ "loss": 2.7455,
532
+ "step": 430
533
+ },
534
+ {
535
+ "epoch": 1.75,
536
+ "learning_rate": 4.4662867033486924e-05,
537
+ "loss": 2.7365,
538
+ "step": 435
539
+ },
540
+ {
541
+ "epoch": 1.77,
542
+ "learning_rate": 4.4323283311138474e-05,
543
+ "loss": 2.7176,
544
+ "step": 440
545
+ },
546
+ {
547
+ "epoch": 1.79,
548
+ "learning_rate": 4.398130559107617e-05,
549
+ "loss": 2.7344,
550
+ "step": 445
551
+ },
552
+ {
553
+ "epoch": 1.81,
554
+ "learning_rate": 4.363699103155502e-05,
555
+ "loss": 2.7425,
556
+ "step": 450
557
+ },
558
+ {
559
+ "epoch": 1.83,
560
+ "learning_rate": 4.3290397181410056e-05,
561
+ "loss": 2.7304,
562
+ "step": 455
563
+ },
564
+ {
565
+ "epoch": 1.85,
566
+ "learning_rate": 4.294158197043761e-05,
567
+ "loss": 2.7893,
568
+ "step": 460
569
+ },
570
+ {
571
+ "epoch": 1.87,
572
+ "learning_rate": 4.259060369971287e-05,
573
+ "loss": 2.7134,
574
+ "step": 465
575
+ },
576
+ {
577
+ "epoch": 1.89,
578
+ "learning_rate": 4.2237521031845506e-05,
579
+ "loss": 2.82,
580
+ "step": 470
581
+ },
582
+ {
583
+ "epoch": 1.91,
584
+ "learning_rate": 4.1882392981174704e-05,
585
+ "loss": 2.7194,
586
+ "step": 475
587
+ },
588
+ {
589
+ "epoch": 1.93,
590
+ "learning_rate": 4.152527890390553e-05,
591
+ "loss": 2.7565,
592
+ "step": 480
593
+ },
594
+ {
595
+ "epoch": 1.95,
596
+ "learning_rate": 4.11662384881881e-05,
597
+ "loss": 2.7037,
598
+ "step": 485
599
+ },
600
+ {
601
+ "epoch": 1.97,
602
+ "learning_rate": 4.080533174414131e-05,
603
+ "loss": 2.7439,
604
+ "step": 490
605
+ },
606
+ {
607
+ "epoch": 1.99,
608
+ "learning_rate": 4.0442618993822714e-05,
609
+ "loss": 2.6984,
610
+ "step": 495
611
+ },
612
+ {
613
+ "epoch": 2.0,
614
+ "eval_loss": 2.6826047897338867,
615
+ "eval_runtime": 163.0962,
616
+ "eval_samples_per_second": 49.688,
617
+ "eval_steps_per_second": 6.211,
618
+ "step": 496
619
+ },
620
+ {
621
+ "epoch": 2.02,
622
+ "learning_rate": 4.007816086114627e-05,
623
+ "loss": 2.8637,
624
+ "step": 500
625
+ },
626
+ {
627
+ "epoch": 2.04,
628
+ "learning_rate": 3.971201826174964e-05,
629
+ "loss": 2.709,
630
+ "step": 505
631
+ },
632
+ {
633
+ "epoch": 2.06,
634
+ "learning_rate": 3.934425239281274e-05,
635
+ "loss": 2.6646,
636
+ "step": 510
637
+ },
638
+ {
639
+ "epoch": 2.08,
640
+ "learning_rate": 3.897492472282926e-05,
641
+ "loss": 2.7183,
642
+ "step": 515
643
+ },
644
+ {
645
+ "epoch": 2.1,
646
+ "learning_rate": 3.860409698133271e-05,
647
+ "loss": 2.7506,
648
+ "step": 520
649
+ },
650
+ {
651
+ "epoch": 2.12,
652
+ "learning_rate": 3.8231831148579046e-05,
653
+ "loss": 2.7579,
654
+ "step": 525
655
+ },
656
+ {
657
+ "epoch": 2.14,
658
+ "learning_rate": 3.785818944518718e-05,
659
+ "loss": 2.685,
660
+ "step": 530
661
+ },
662
+ {
663
+ "epoch": 2.16,
664
+ "learning_rate": 3.748323432173944e-05,
665
+ "loss": 2.6694,
666
+ "step": 535
667
+ },
668
+ {
669
+ "epoch": 2.18,
670
+ "learning_rate": 3.710702844834357e-05,
671
+ "loss": 2.7386,
672
+ "step": 540
673
+ },
674
+ {
675
+ "epoch": 2.2,
676
+ "learning_rate": 3.672963470415803e-05,
677
+ "loss": 2.692,
678
+ "step": 545
679
+ },
680
+ {
681
+ "epoch": 2.22,
682
+ "learning_rate": 3.6351116166882325e-05,
683
+ "loss": 2.7219,
684
+ "step": 550
685
+ },
686
+ {
687
+ "epoch": 2.24,
688
+ "learning_rate": 3.5971536102214215e-05,
689
+ "loss": 2.769,
690
+ "step": 555
691
+ },
692
+ {
693
+ "epoch": 2.26,
694
+ "learning_rate": 3.559095795327547e-05,
695
+ "loss": 2.7076,
696
+ "step": 560
697
+ },
698
+ {
699
+ "epoch": 2.28,
700
+ "learning_rate": 3.520944533000792e-05,
701
+ "loss": 2.7279,
702
+ "step": 565
703
+ },
704
+ {
705
+ "epoch": 2.3,
706
+ "learning_rate": 3.482706199854172e-05,
707
+ "loss": 2.7273,
708
+ "step": 570
709
+ },
710
+ {
711
+ "epoch": 2.32,
712
+ "learning_rate": 3.444387187053747e-05,
713
+ "loss": 2.6949,
714
+ "step": 575
715
+ },
716
+ {
717
+ "epoch": 2.34,
718
+ "learning_rate": 3.405993899250394e-05,
719
+ "loss": 2.681,
720
+ "step": 580
721
+ },
722
+ {
723
+ "epoch": 2.36,
724
+ "learning_rate": 3.3675327535093366e-05,
725
+ "loss": 2.8151,
726
+ "step": 585
727
+ },
728
+ {
729
+ "epoch": 2.38,
730
+ "learning_rate": 3.329010178237595e-05,
731
+ "loss": 2.7137,
732
+ "step": 590
733
+ },
734
+ {
735
+ "epoch": 2.4,
736
+ "learning_rate": 3.2904326121095375e-05,
737
+ "loss": 2.6656,
738
+ "step": 595
739
+ },
740
+ {
741
+ "epoch": 2.42,
742
+ "learning_rate": 3.25180650299072e-05,
743
+ "loss": 2.7158,
744
+ "step": 600
745
+ },
746
+ {
747
+ "epoch": 2.44,
748
+ "learning_rate": 3.2131383068601905e-05,
749
+ "loss": 2.7081,
750
+ "step": 605
751
+ },
752
+ {
753
+ "epoch": 2.46,
754
+ "learning_rate": 3.174434486731428e-05,
755
+ "loss": 2.644,
756
+ "step": 610
757
+ },
758
+ {
759
+ "epoch": 2.48,
760
+ "learning_rate": 3.135701511572119e-05,
761
+ "loss": 2.698,
762
+ "step": 615
763
+ },
764
+ {
765
+ "epoch": 2.5,
766
+ "learning_rate": 3.0969458552229324e-05,
767
+ "loss": 2.6591,
768
+ "step": 620
769
+ },
770
+ {
771
+ "epoch": 2.52,
772
+ "learning_rate": 3.058173995315473e-05,
773
+ "loss": 2.6591,
774
+ "step": 625
775
+ },
776
+ {
777
+ "epoch": 2.54,
778
+ "learning_rate": 3.019392412189618e-05,
779
+ "loss": 2.7327,
780
+ "step": 630
781
+ },
782
+ {
783
+ "epoch": 2.56,
784
+ "learning_rate": 2.9806075878103817e-05,
785
+ "loss": 2.6711,
786
+ "step": 635
787
+ },
788
+ {
789
+ "epoch": 2.58,
790
+ "learning_rate": 2.9418260046845272e-05,
791
+ "loss": 2.7034,
792
+ "step": 640
793
+ },
794
+ {
795
+ "epoch": 2.6,
796
+ "learning_rate": 2.9030541447770684e-05,
797
+ "loss": 2.6119,
798
+ "step": 645
799
+ },
800
+ {
801
+ "epoch": 2.62,
802
+ "learning_rate": 2.8642984884278812e-05,
803
+ "loss": 2.641,
804
+ "step": 650
805
+ },
806
+ {
807
+ "epoch": 2.64,
808
+ "learning_rate": 2.8255655132685727e-05,
809
+ "loss": 2.6479,
810
+ "step": 655
811
+ },
812
+ {
813
+ "epoch": 2.66,
814
+ "learning_rate": 2.7868616931398106e-05,
815
+ "loss": 2.6298,
816
+ "step": 660
817
+ },
818
+ {
819
+ "epoch": 2.68,
820
+ "learning_rate": 2.7481934970092792e-05,
821
+ "loss": 2.6951,
822
+ "step": 665
823
+ },
824
+ {
825
+ "epoch": 2.7,
826
+ "learning_rate": 2.709567387890463e-05,
827
+ "loss": 2.681,
828
+ "step": 670
829
+ },
830
+ {
831
+ "epoch": 2.72,
832
+ "learning_rate": 2.6709898217624053e-05,
833
+ "loss": 2.6787,
834
+ "step": 675
835
+ },
836
+ {
837
+ "epoch": 2.74,
838
+ "learning_rate": 2.6324672464906643e-05,
839
+ "loss": 2.7171,
840
+ "step": 680
841
+ },
842
+ {
843
+ "epoch": 2.76,
844
+ "learning_rate": 2.5940061007496078e-05,
845
+ "loss": 2.7116,
846
+ "step": 685
847
+ },
848
+ {
849
+ "epoch": 2.78,
850
+ "learning_rate": 2.5556128129462543e-05,
851
+ "loss": 2.6834,
852
+ "step": 690
853
+ },
854
+ {
855
+ "epoch": 2.8,
856
+ "learning_rate": 2.517293800145828e-05,
857
+ "loss": 2.6827,
858
+ "step": 695
859
+ },
860
+ {
861
+ "epoch": 2.82,
862
+ "learning_rate": 2.479055466999209e-05,
863
+ "loss": 2.6158,
864
+ "step": 700
865
+ },
866
+ {
867
+ "epoch": 2.84,
868
+ "learning_rate": 2.4409042046724537e-05,
869
+ "loss": 2.7102,
870
+ "step": 705
871
+ },
872
+ {
873
+ "epoch": 2.86,
874
+ "learning_rate": 2.4028463897785787e-05,
875
+ "loss": 2.6505,
876
+ "step": 710
877
+ },
878
+ {
879
+ "epoch": 2.88,
880
+ "learning_rate": 2.3648883833117687e-05,
881
+ "loss": 2.6876,
882
+ "step": 715
883
+ },
884
+ {
885
+ "epoch": 2.9,
886
+ "learning_rate": 2.327036529584198e-05,
887
+ "loss": 2.6841,
888
+ "step": 720
889
+ },
890
+ {
891
+ "epoch": 2.92,
892
+ "learning_rate": 2.2892971551656424e-05,
893
+ "loss": 2.683,
894
+ "step": 725
895
+ },
896
+ {
897
+ "epoch": 2.94,
898
+ "learning_rate": 2.2516765678260564e-05,
899
+ "loss": 2.714,
900
+ "step": 730
901
+ },
902
+ {
903
+ "epoch": 2.96,
904
+ "learning_rate": 2.2141810554812824e-05,
905
+ "loss": 2.6786,
906
+ "step": 735
907
+ },
908
+ {
909
+ "epoch": 2.98,
910
+ "learning_rate": 2.176816885142096e-05,
911
+ "loss": 2.7022,
912
+ "step": 740
913
+ },
914
+ {
915
+ "epoch": 3.0,
916
+ "eval_loss": 2.6361331939697266,
917
+ "eval_runtime": 163.5049,
918
+ "eval_samples_per_second": 49.564,
919
+ "eval_steps_per_second": 6.196,
920
+ "step": 744
921
+ },
922
+ {
923
+ "epoch": 3.0,
924
+ "learning_rate": 2.132162043617224e-05,
925
+ "loss": 2.8742,
926
+ "step": 745
927
+ },
928
+ {
929
+ "epoch": 3.02,
930
+ "learning_rate": 2.0951087758432035e-05,
931
+ "loss": 2.6404,
932
+ "step": 750
933
+ },
934
+ {
935
+ "epoch": 3.04,
936
+ "learning_rate": 2.0582067518500164e-05,
937
+ "loss": 2.7206,
938
+ "step": 755
939
+ },
940
+ {
941
+ "epoch": 3.06,
942
+ "learning_rate": 2.0214621394526204e-05,
943
+ "loss": 2.6592,
944
+ "step": 760
945
+ },
946
+ {
947
+ "epoch": 3.08,
948
+ "learning_rate": 1.984881080156157e-05,
949
+ "loss": 2.6667,
950
+ "step": 765
951
+ },
952
+ {
953
+ "epoch": 3.1,
954
+ "learning_rate": 1.9484696881294518e-05,
955
+ "loss": 2.6568,
956
+ "step": 770
957
+ },
958
+ {
959
+ "epoch": 3.12,
960
+ "learning_rate": 1.9122340491830983e-05,
961
+ "loss": 2.645,
962
+ "step": 775
963
+ },
964
+ {
965
+ "epoch": 3.14,
966
+ "learning_rate": 1.8761802197522638e-05,
967
+ "loss": 2.5945,
968
+ "step": 780
969
+ },
970
+ {
971
+ "epoch": 3.17,
972
+ "learning_rate": 1.8403142258844258e-05,
973
+ "loss": 2.6536,
974
+ "step": 785
975
+ },
976
+ {
977
+ "epoch": 3.19,
978
+ "learning_rate": 1.8046420622321678e-05,
979
+ "loss": 2.6664,
980
+ "step": 790
981
+ },
982
+ {
983
+ "epoch": 3.21,
984
+ "learning_rate": 1.769169691051236e-05,
985
+ "loss": 2.6797,
986
+ "step": 795
987
+ },
988
+ {
989
+ "epoch": 3.23,
990
+ "learning_rate": 1.733903041204006e-05,
991
+ "loss": 2.6706,
992
+ "step": 800
993
+ },
994
+ {
995
+ "epoch": 3.25,
996
+ "learning_rate": 1.6988480071685293e-05,
997
+ "loss": 2.7273,
998
+ "step": 805
999
+ },
1000
+ {
1001
+ "epoch": 3.27,
1002
+ "learning_rate": 1.664010448053332e-05,
1003
+ "loss": 2.6833,
1004
+ "step": 810
1005
+ },
1006
+ {
1007
+ "epoch": 3.29,
1008
+ "learning_rate": 1.6293961866181154e-05,
1009
+ "loss": 2.7188,
1010
+ "step": 815
1011
+ },
1012
+ {
1013
+ "epoch": 3.31,
1014
+ "learning_rate": 1.5950110083005433e-05,
1015
+ "loss": 2.6276,
1016
+ "step": 820
1017
+ },
1018
+ {
1019
+ "epoch": 3.33,
1020
+ "learning_rate": 1.5608606602492622e-05,
1021
+ "loss": 2.7026,
1022
+ "step": 825
1023
+ },
1024
+ {
1025
+ "epoch": 3.35,
1026
+ "learning_rate": 1.526950850363318e-05,
1027
+ "loss": 2.6412,
1028
+ "step": 830
1029
+ },
1030
+ {
1031
+ "epoch": 3.37,
1032
+ "learning_rate": 1.4932872463381392e-05,
1033
+ "loss": 2.6308,
1034
+ "step": 835
1035
+ },
1036
+ {
1037
+ "epoch": 3.39,
1038
+ "learning_rate": 1.4598754747182377e-05,
1039
+ "loss": 2.5865,
1040
+ "step": 840
1041
+ },
1042
+ {
1043
+ "epoch": 3.41,
1044
+ "learning_rate": 1.4267211199567806e-05,
1045
+ "loss": 2.7103,
1046
+ "step": 845
1047
+ },
1048
+ {
1049
+ "epoch": 3.43,
1050
+ "learning_rate": 1.3938297234822089e-05,
1051
+ "loss": 2.6321,
1052
+ "step": 850
1053
+ },
1054
+ {
1055
+ "epoch": 3.45,
1056
+ "learning_rate": 1.361206782772039e-05,
1057
+ "loss": 2.6398,
1058
+ "step": 855
1059
+ },
1060
+ {
1061
+ "epoch": 3.47,
1062
+ "learning_rate": 1.328857750434012e-05,
1063
+ "loss": 2.6513,
1064
+ "step": 860
1065
+ },
1066
+ {
1067
+ "epoch": 3.49,
1068
+ "learning_rate": 1.2967880332947474e-05,
1069
+ "loss": 2.692,
1070
+ "step": 865
1071
+ },
1072
+ {
1073
+ "epoch": 3.51,
1074
+ "learning_rate": 1.2650029914960406e-05,
1075
+ "loss": 2.5955,
1076
+ "step": 870
1077
+ },
1078
+ {
1079
+ "epoch": 3.53,
1080
+ "learning_rate": 1.2335079375989666e-05,
1081
+ "loss": 2.6501,
1082
+ "step": 875
1083
+ },
1084
+ {
1085
+ "epoch": 3.55,
1086
+ "learning_rate": 1.2023081356959398e-05,
1087
+ "loss": 2.646,
1088
+ "step": 880
1089
+ },
1090
+ {
1091
+ "epoch": 3.57,
1092
+ "learning_rate": 1.1714088005308714e-05,
1093
+ "loss": 2.6988,
1094
+ "step": 885
1095
+ },
1096
+ {
1097
+ "epoch": 3.59,
1098
+ "learning_rate": 1.140815096627573e-05,
1099
+ "loss": 2.6395,
1100
+ "step": 890
1101
+ },
1102
+ {
1103
+ "epoch": 3.61,
1104
+ "learning_rate": 1.1105321374265619e-05,
1105
+ "loss": 2.7236,
1106
+ "step": 895
1107
+ },
1108
+ {
1109
+ "epoch": 3.63,
1110
+ "learning_rate": 1.0805649844303954e-05,
1111
+ "loss": 2.7175,
1112
+ "step": 900
1113
+ },
1114
+ {
1115
+ "epoch": 3.65,
1116
+ "learning_rate": 1.0509186463576888e-05,
1117
+ "loss": 2.7241,
1118
+ "step": 905
1119
+ },
1120
+ {
1121
+ "epoch": 3.67,
1122
+ "learning_rate": 1.0215980783059585e-05,
1123
+ "loss": 2.6334,
1124
+ "step": 910
1125
+ },
1126
+ {
1127
+ "epoch": 3.69,
1128
+ "learning_rate": 9.926081809234262e-06,
1129
+ "loss": 2.6283,
1130
+ "step": 915
1131
+ },
1132
+ {
1133
+ "epoch": 3.71,
1134
+ "learning_rate": 9.639537995899214e-06,
1135
+ "loss": 2.6598,
1136
+ "step": 920
1137
+ },
1138
+ {
1139
+ "epoch": 3.73,
1140
+ "learning_rate": 9.356397236070267e-06,
1141
+ "loss": 2.6099,
1142
+ "step": 925
1143
+ },
1144
+ {
1145
+ "epoch": 3.75,
1146
+ "learning_rate": 9.076706853975862e-06,
1147
+ "loss": 2.613,
1148
+ "step": 930
1149
+ },
1150
+ {
1151
+ "epoch": 3.77,
1152
+ "learning_rate": 8.800513597147349e-06,
1153
+ "loss": 2.5609,
1154
+ "step": 935
1155
+ },
1156
+ {
1157
+ "epoch": 3.79,
1158
+ "learning_rate": 8.527863628605514e-06,
1159
+ "loss": 2.7093,
1160
+ "step": 940
1161
+ },
1162
+ {
1163
+ "epoch": 3.81,
1164
+ "learning_rate": 8.258802519144935e-06,
1165
+ "loss": 2.5844,
1166
+ "step": 945
1167
+ },
1168
+ {
1169
+ "epoch": 3.83,
1170
+ "learning_rate": 7.993375239717228e-06,
1171
+ "loss": 2.6648,
1172
+ "step": 950
1173
+ },
1174
+ {
1175
+ "epoch": 3.85,
1176
+ "learning_rate": 7.731626153914636e-06,
1177
+ "loss": 2.6364,
1178
+ "step": 955
1179
+ },
1180
+ {
1181
+ "epoch": 3.87,
1182
+ "learning_rate": 7.473599010555025e-06,
1183
+ "loss": 2.738,
1184
+ "step": 960
1185
+ },
1186
+ {
1187
+ "epoch": 3.89,
1188
+ "learning_rate": 7.219336936369749e-06,
1189
+ "loss": 2.6826,
1190
+ "step": 965
1191
+ },
1192
+ {
1193
+ "epoch": 3.91,
1194
+ "learning_rate": 6.968882428795393e-06,
1195
+ "loss": 2.717,
1196
+ "step": 970
1197
+ },
1198
+ {
1199
+ "epoch": 3.93,
1200
+ "learning_rate": 6.722277348870772e-06,
1201
+ "loss": 2.7357,
1202
+ "step": 975
1203
+ },
1204
+ {
1205
+ "epoch": 3.95,
1206
+ "learning_rate": 6.47956291424023e-06,
1207
+ "loss": 2.648,
1208
+ "step": 980
1209
+ },
1210
+ {
1211
+ "epoch": 3.97,
1212
+ "learning_rate": 6.240779692264567e-06,
1213
+ "loss": 2.6178,
1214
+ "step": 985
1215
+ },
1216
+ {
1217
+ "epoch": 3.99,
1218
+ "learning_rate": 6.005967593240522e-06,
1219
+ "loss": 2.6436,
1220
+ "step": 990
1221
+ },
1222
+ {
1223
+ "epoch": 4.0,
1224
+ "eval_loss": 2.6245498657226562,
1225
+ "eval_runtime": 163.5799,
1226
+ "eval_samples_per_second": 49.542,
1227
+ "eval_steps_per_second": 6.193,
1228
+ "step": 992
1229
+ },
1230
+ {
1231
+ "epoch": 4.01,
1232
+ "learning_rate": 5.7751658637302344e-06,
1233
+ "loss": 2.8379,
1234
+ "step": 995
1235
+ },
1236
+ {
1237
+ "epoch": 4.03,
1238
+ "learning_rate": 5.548413080001497e-06,
1239
+ "loss": 2.6199,
1240
+ "step": 1000
1241
+ },
1242
+ {
1243
+ "epoch": 4.05,
1244
+ "learning_rate": 5.325747141580131e-06,
1245
+ "loss": 2.6231,
1246
+ "step": 1005
1247
+ },
1248
+ {
1249
+ "epoch": 4.07,
1250
+ "learning_rate": 5.107205264915482e-06,
1251
+ "loss": 2.6267,
1252
+ "step": 1010
1253
+ },
1254
+ {
1255
+ "epoch": 4.09,
1256
+ "learning_rate": 4.8928239771599935e-06,
1257
+ "loss": 2.69,
1258
+ "step": 1015
1259
+ },
1260
+ {
1261
+ "epoch": 4.11,
1262
+ "learning_rate": 4.6826391100640785e-06,
1263
+ "loss": 2.7156,
1264
+ "step": 1020
1265
+ },
1266
+ {
1267
+ "epoch": 4.13,
1268
+ "learning_rate": 4.476685793987202e-06,
1269
+ "loss": 2.729,
1270
+ "step": 1025
1271
+ },
1272
+ {
1273
+ "epoch": 4.15,
1274
+ "learning_rate": 4.274998452026159e-06,
1275
+ "loss": 2.6732,
1276
+ "step": 1030
1277
+ },
1278
+ {
1279
+ "epoch": 4.17,
1280
+ "learning_rate": 4.0776107942615855e-06,
1281
+ "loss": 2.6484,
1282
+ "step": 1035
1283
+ },
1284
+ {
1285
+ "epoch": 4.19,
1286
+ "learning_rate": 3.884555812123685e-06,
1287
+ "loss": 2.6133,
1288
+ "step": 1040
1289
+ },
1290
+ {
1291
+ "epoch": 4.21,
1292
+ "learning_rate": 3.6958657728779856e-06,
1293
+ "loss": 2.6863,
1294
+ "step": 1045
1295
+ },
1296
+ {
1297
+ "epoch": 4.23,
1298
+ "learning_rate": 3.5115722142321906e-06,
1299
+ "loss": 2.6385,
1300
+ "step": 1050
1301
+ },
1302
+ {
1303
+ "epoch": 4.25,
1304
+ "learning_rate": 3.3317059390649906e-06,
1305
+ "loss": 2.6193,
1306
+ "step": 1055
1307
+ },
1308
+ {
1309
+ "epoch": 4.27,
1310
+ "learning_rate": 3.1562970102776177e-06,
1311
+ "loss": 2.655,
1312
+ "step": 1060
1313
+ },
1314
+ {
1315
+ "epoch": 4.29,
1316
+ "learning_rate": 2.985374745769134e-06,
1317
+ "loss": 2.6629,
1318
+ "step": 1065
1319
+ },
1320
+ {
1321
+ "epoch": 4.31,
1322
+ "learning_rate": 2.8189677135362635e-06,
1323
+ "loss": 2.6214,
1324
+ "step": 1070
1325
+ },
1326
+ {
1327
+ "epoch": 4.33,
1328
+ "learning_rate": 2.6571037268984742e-06,
1329
+ "loss": 2.7275,
1330
+ "step": 1075
1331
+ },
1332
+ {
1333
+ "epoch": 4.35,
1334
+ "learning_rate": 2.499809839849292e-06,
1335
+ "loss": 2.6338,
1336
+ "step": 1080
1337
+ },
1338
+ {
1339
+ "epoch": 4.37,
1340
+ "learning_rate": 2.3471123425344863e-06,
1341
+ "loss": 2.6312,
1342
+ "step": 1085
1343
+ },
1344
+ {
1345
+ "epoch": 4.39,
1346
+ "learning_rate": 2.1990367568578982e-06,
1347
+ "loss": 2.5713,
1348
+ "step": 1090
1349
+ },
1350
+ {
1351
+ "epoch": 4.41,
1352
+ "learning_rate": 2.055607832215727e-06,
1353
+ "loss": 2.708,
1354
+ "step": 1095
1355
+ },
1356
+ {
1357
+ "epoch": 4.43,
1358
+ "learning_rate": 1.9168495413599183e-06,
1359
+ "loss": 2.6313,
1360
+ "step": 1100
1361
+ },
1362
+ {
1363
+ "epoch": 4.45,
1364
+ "learning_rate": 1.7827850763913167e-06,
1365
+ "loss": 2.5938,
1366
+ "step": 1105
1367
+ },
1368
+ {
1369
+ "epoch": 4.48,
1370
+ "learning_rate": 1.6534368448833581e-06,
1371
+ "loss": 2.6137,
1372
+ "step": 1110
1373
+ },
1374
+ {
1375
+ "epoch": 4.5,
1376
+ "learning_rate": 1.5288264661368523e-06,
1377
+ "loss": 2.6919,
1378
+ "step": 1115
1379
+ },
1380
+ {
1381
+ "epoch": 4.52,
1382
+ "learning_rate": 1.4089747675665387e-06,
1383
+ "loss": 2.6168,
1384
+ "step": 1120
1385
+ },
1386
+ {
1387
+ "epoch": 4.54,
1388
+ "learning_rate": 1.2939017812199584e-06,
1389
+ "loss": 2.6687,
1390
+ "step": 1125
1391
+ },
1392
+ {
1393
+ "epoch": 4.56,
1394
+ "learning_rate": 1.1836267404293311e-06,
1395
+ "loss": 2.5993,
1396
+ "step": 1130
1397
+ },
1398
+ {
1399
+ "epoch": 4.58,
1400
+ "learning_rate": 1.0781680765968515e-06,
1401
+ "loss": 2.6695,
1402
+ "step": 1135
1403
+ },
1404
+ {
1405
+ "epoch": 4.6,
1406
+ "learning_rate": 9.775434161140861e-07,
1407
+ "loss": 2.6461,
1408
+ "step": 1140
1409
+ },
1410
+ {
1411
+ "epoch": 4.62,
1412
+ "learning_rate": 8.817695774158729e-07,
1413
+ "loss": 2.6796,
1414
+ "step": 1145
1415
+ },
1416
+ {
1417
+ "epoch": 4.64,
1418
+ "learning_rate": 7.908625681693138e-07,
1419
+ "loss": 2.6503,
1420
+ "step": 1150
1421
+ },
1422
+ {
1423
+ "epoch": 4.66,
1424
+ "learning_rate": 7.048375825982112e-07,
1425
+ "loss": 2.6532,
1426
+ "step": 1155
1427
+ },
1428
+ {
1429
+ "epoch": 4.68,
1430
+ "learning_rate": 6.237089989435263e-07,
1431
+ "loss": 2.6171,
1432
+ "step": 1160
1433
+ },
1434
+ {
1435
+ "epoch": 4.7,
1436
+ "learning_rate": 5.474903770601913e-07,
1437
+ "loss": 2.6785,
1438
+ "step": 1165
1439
+ },
1440
+ {
1441
+ "epoch": 4.72,
1442
+ "learning_rate": 4.7619445615070256e-07,
1443
+ "loss": 2.7045,
1444
+ "step": 1170
1445
+ },
1446
+ {
1447
+ "epoch": 4.74,
1448
+ "learning_rate": 4.0983315263589004e-07,
1449
+ "loss": 2.7024,
1450
+ "step": 1175
1451
+ },
1452
+ {
1453
+ "epoch": 4.76,
1454
+ "learning_rate": 3.484175581632143e-07,
1455
+ "loss": 2.648,
1456
+ "step": 1180
1457
+ },
1458
+ {
1459
+ "epoch": 4.78,
1460
+ "learning_rate": 2.9195793775288916e-07,
1461
+ "loss": 2.6865,
1462
+ "step": 1185
1463
+ },
1464
+ {
1465
+ "epoch": 4.8,
1466
+ "learning_rate": 2.4046372808220084e-07,
1467
+ "loss": 2.6769,
1468
+ "step": 1190
1469
+ },
1470
+ {
1471
+ "epoch": 4.82,
1472
+ "learning_rate": 1.939435359082331e-07,
1473
+ "loss": 2.6381,
1474
+ "step": 1195
1475
+ },
1476
+ {
1477
+ "epoch": 4.84,
1478
+ "learning_rate": 1.524051366293644e-07,
1479
+ "loss": 2.6804,
1480
+ "step": 1200
1481
+ },
1482
+ {
1483
+ "epoch": 4.86,
1484
+ "learning_rate": 1.1585547298565091e-07,
1485
+ "loss": 2.5962,
1486
+ "step": 1205
1487
+ },
1488
+ {
1489
+ "epoch": 4.88,
1490
+ "learning_rate": 8.43006538984481e-08,
1491
+ "loss": 2.6744,
1492
+ "step": 1210
1493
+ },
1494
+ {
1495
+ "epoch": 4.9,
1496
+ "learning_rate": 5.774595344934075e-08,
1497
+ "loss": 2.6654,
1498
+ "step": 1215
1499
+ },
1500
+ {
1501
+ "epoch": 4.92,
1502
+ "learning_rate": 3.6195809998638144e-08,
1503
+ "loss": 2.673,
1504
+ "step": 1220
1505
+ },
1506
+ {
1507
+ "epoch": 4.94,
1508
+ "learning_rate": 1.9653825443547435e-08,
1509
+ "loss": 2.6151,
1510
+ "step": 1225
1511
+ },
1512
+ {
1513
+ "epoch": 4.96,
1514
+ "learning_rate": 8.122764616148581e-09,
1515
+ "loss": 2.7565,
1516
+ "step": 1230
1517
+ },
1518
+ {
1519
+ "epoch": 4.98,
1520
+ "learning_rate": 1.6045548212872963e-09,
1521
+ "loss": 2.6162,
1522
+ "step": 1235
1523
+ },
1524
+ {
1525
+ "epoch": 5.0,
1526
+ "learning_rate": 1.0028551442609057e-10,
1527
+ "loss": 2.6195,
1528
+ "step": 1240
1529
+ },
1530
+ {
1531
+ "epoch": 5.0,
1532
+ "eval_loss": 2.62469482421875,
1533
+ "eval_runtime": 163.7545,
1534
+ "eval_samples_per_second": 49.489,
1535
+ "eval_steps_per_second": 6.186,
1536
+ "step": 1240
1537
+ },
1538
+ {
1539
+ "epoch": 5.0,
1540
+ "step": 1240,
1541
+ "total_flos": 8.30390621259694e+16,
1542
+ "train_loss": 2.8163739796607725,
1543
+ "train_runtime": 27047.4241,
1544
+ "train_samples_per_second": 11.753,
1545
+ "train_steps_per_second": 0.046
1546
+ }
1547
+ ],
1548
+ "max_steps": 1240,
1549
+ "num_train_epochs": 5,
1550
+ "total_flos": 8.30390621259694e+16,
1551
+ "trial_name": null,
1552
+ "trial_params": null
1553
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5faf230624239da33ce9fa7402078f1feb8fe63e989383c38f0ba875e0a88772
3
+ size 4719