Expert68 commited on
Commit
1f19bf7
1 Parent(s): fdc7c18

Upload folder using huggingface_hub

Browse files
README.md ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ ---
4
+ ## Training procedure
5
+
6
+
7
+ The following `bitsandbytes` quantization config was used during training:
8
+ - quant_method: bitsandbytes
9
+ - load_in_8bit: False
10
+ - load_in_4bit: True
11
+ - llm_int8_threshold: 6.0
12
+ - llm_int8_skip_modules: None
13
+ - llm_int8_enable_fp32_cpu_offload: False
14
+ - llm_int8_has_fp16_weight: False
15
+ - bnb_4bit_quant_type: nf4
16
+ - bnb_4bit_use_double_quant: True
17
+ - bnb_4bit_compute_dtype: float32
18
+ ### Framework versions
19
+
20
+
21
+ - PEFT 0.4.0
adapter_config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "auto_mapping": null,
3
+ "base_model_name_or_path": "/root/lm_weights/llama2_13b_hf",
4
+ "bias": "none",
5
+ "fan_in_fan_out": false,
6
+ "inference_mode": true,
7
+ "init_lora_weights": true,
8
+ "layers_pattern": null,
9
+ "layers_to_transform": null,
10
+ "lora_alpha": 16,
11
+ "lora_dropout": 0.0,
12
+ "modules_to_save": null,
13
+ "peft_type": "LORA",
14
+ "r": 64,
15
+ "revision": null,
16
+ "target_modules": [
17
+ "v_proj",
18
+ "gate_proj",
19
+ "down_proj",
20
+ "o_proj",
21
+ "k_proj",
22
+ "q_proj",
23
+ "up_proj"
24
+ ],
25
+ "task_type": "CAUSAL_LM"
26
+ }
adapter_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2a36bb3d6697f76a4b231097b38a01365c472fe0a8481e7fb42eee504ac08e9f
3
+ size 1001592141
added_tokens.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "[PAD]": 32000
3
+ }
special_tokens_map.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": "<s>",
3
+ "eos_token": "</s>",
4
+ "pad_token": "[PAD]",
5
+ "unk_token": "[PAD]"
6
+ }
tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
3
+ size 499723
tokenizer_config.json ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "bos_token": {
5
+ "__type": "AddedToken",
6
+ "content": "<s>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false
11
+ },
12
+ "clean_up_tokenization_spaces": false,
13
+ "eos_token": {
14
+ "__type": "AddedToken",
15
+ "content": "</s>",
16
+ "lstrip": false,
17
+ "normalized": false,
18
+ "rstrip": false,
19
+ "single_word": false
20
+ },
21
+ "legacy": false,
22
+ "model_max_length": 1000000000000000019884624838656,
23
+ "pad_token": null,
24
+ "padding_side": "right",
25
+ "sp_model_kwargs": {},
26
+ "spaces_between_special_tokens": false,
27
+ "tokenizer_class": "LlamaTokenizer",
28
+ "unk_token": {
29
+ "__type": "AddedToken",
30
+ "content": "<unk>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false
35
+ },
36
+ "use_default_system_prompt": true
37
+ }
trainer_state.json ADDED
@@ -0,0 +1,1827 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 58.67970660146699,
5
+ "eval_steps": 2000,
6
+ "global_step": 3000,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.2,
13
+ "learning_rate": 8e-05,
14
+ "loss": 0.8756,
15
+ "step": 10
16
+ },
17
+ {
18
+ "epoch": 0.39,
19
+ "learning_rate": 8e-05,
20
+ "loss": 0.8401,
21
+ "step": 20
22
+ },
23
+ {
24
+ "epoch": 0.59,
25
+ "learning_rate": 8e-05,
26
+ "loss": 0.8574,
27
+ "step": 30
28
+ },
29
+ {
30
+ "epoch": 0.78,
31
+ "learning_rate": 8e-05,
32
+ "loss": 0.8282,
33
+ "step": 40
34
+ },
35
+ {
36
+ "epoch": 0.98,
37
+ "learning_rate": 8e-05,
38
+ "loss": 0.7797,
39
+ "step": 50
40
+ },
41
+ {
42
+ "epoch": 1.17,
43
+ "learning_rate": 8e-05,
44
+ "loss": 0.7198,
45
+ "step": 60
46
+ },
47
+ {
48
+ "epoch": 1.37,
49
+ "learning_rate": 8e-05,
50
+ "loss": 0.6546,
51
+ "step": 70
52
+ },
53
+ {
54
+ "epoch": 1.56,
55
+ "learning_rate": 8e-05,
56
+ "loss": 0.6477,
57
+ "step": 80
58
+ },
59
+ {
60
+ "epoch": 1.76,
61
+ "learning_rate": 8e-05,
62
+ "loss": 0.6173,
63
+ "step": 90
64
+ },
65
+ {
66
+ "epoch": 1.96,
67
+ "learning_rate": 8e-05,
68
+ "loss": 0.6119,
69
+ "step": 100
70
+ },
71
+ {
72
+ "epoch": 2.15,
73
+ "learning_rate": 8e-05,
74
+ "loss": 0.5535,
75
+ "step": 110
76
+ },
77
+ {
78
+ "epoch": 2.35,
79
+ "learning_rate": 8e-05,
80
+ "loss": 0.4959,
81
+ "step": 120
82
+ },
83
+ {
84
+ "epoch": 2.54,
85
+ "learning_rate": 8e-05,
86
+ "loss": 0.5077,
87
+ "step": 130
88
+ },
89
+ {
90
+ "epoch": 2.74,
91
+ "learning_rate": 8e-05,
92
+ "loss": 0.5021,
93
+ "step": 140
94
+ },
95
+ {
96
+ "epoch": 2.93,
97
+ "learning_rate": 8e-05,
98
+ "loss": 0.4717,
99
+ "step": 150
100
+ },
101
+ {
102
+ "epoch": 3.13,
103
+ "learning_rate": 8e-05,
104
+ "loss": 0.427,
105
+ "step": 160
106
+ },
107
+ {
108
+ "epoch": 3.33,
109
+ "learning_rate": 8e-05,
110
+ "loss": 0.361,
111
+ "step": 170
112
+ },
113
+ {
114
+ "epoch": 3.52,
115
+ "learning_rate": 8e-05,
116
+ "loss": 0.3622,
117
+ "step": 180
118
+ },
119
+ {
120
+ "epoch": 3.72,
121
+ "learning_rate": 8e-05,
122
+ "loss": 0.3425,
123
+ "step": 190
124
+ },
125
+ {
126
+ "epoch": 3.91,
127
+ "learning_rate": 8e-05,
128
+ "loss": 0.3531,
129
+ "step": 200
130
+ },
131
+ {
132
+ "epoch": 4.11,
133
+ "learning_rate": 8e-05,
134
+ "loss": 0.3376,
135
+ "step": 210
136
+ },
137
+ {
138
+ "epoch": 4.3,
139
+ "learning_rate": 8e-05,
140
+ "loss": 0.2356,
141
+ "step": 220
142
+ },
143
+ {
144
+ "epoch": 4.5,
145
+ "learning_rate": 8e-05,
146
+ "loss": 0.2514,
147
+ "step": 230
148
+ },
149
+ {
150
+ "epoch": 4.69,
151
+ "learning_rate": 8e-05,
152
+ "loss": 0.2369,
153
+ "step": 240
154
+ },
155
+ {
156
+ "epoch": 4.89,
157
+ "learning_rate": 8e-05,
158
+ "loss": 0.2485,
159
+ "step": 250
160
+ },
161
+ {
162
+ "epoch": 5.09,
163
+ "learning_rate": 8e-05,
164
+ "loss": 0.2164,
165
+ "step": 260
166
+ },
167
+ {
168
+ "epoch": 5.28,
169
+ "learning_rate": 8e-05,
170
+ "loss": 0.1498,
171
+ "step": 270
172
+ },
173
+ {
174
+ "epoch": 5.48,
175
+ "learning_rate": 8e-05,
176
+ "loss": 0.1495,
177
+ "step": 280
178
+ },
179
+ {
180
+ "epoch": 5.67,
181
+ "learning_rate": 8e-05,
182
+ "loss": 0.166,
183
+ "step": 290
184
+ },
185
+ {
186
+ "epoch": 5.87,
187
+ "learning_rate": 8e-05,
188
+ "loss": 0.2012,
189
+ "step": 300
190
+ },
191
+ {
192
+ "epoch": 6.06,
193
+ "learning_rate": 8e-05,
194
+ "loss": 0.1569,
195
+ "step": 310
196
+ },
197
+ {
198
+ "epoch": 6.26,
199
+ "learning_rate": 8e-05,
200
+ "loss": 0.0878,
201
+ "step": 320
202
+ },
203
+ {
204
+ "epoch": 6.45,
205
+ "learning_rate": 8e-05,
206
+ "loss": 0.0969,
207
+ "step": 330
208
+ },
209
+ {
210
+ "epoch": 6.65,
211
+ "learning_rate": 8e-05,
212
+ "loss": 0.1229,
213
+ "step": 340
214
+ },
215
+ {
216
+ "epoch": 6.85,
217
+ "learning_rate": 8e-05,
218
+ "loss": 0.1199,
219
+ "step": 350
220
+ },
221
+ {
222
+ "epoch": 7.04,
223
+ "learning_rate": 8e-05,
224
+ "loss": 0.0996,
225
+ "step": 360
226
+ },
227
+ {
228
+ "epoch": 7.24,
229
+ "learning_rate": 8e-05,
230
+ "loss": 0.0568,
231
+ "step": 370
232
+ },
233
+ {
234
+ "epoch": 7.43,
235
+ "learning_rate": 8e-05,
236
+ "loss": 0.0792,
237
+ "step": 380
238
+ },
239
+ {
240
+ "epoch": 7.63,
241
+ "learning_rate": 8e-05,
242
+ "loss": 0.0781,
243
+ "step": 390
244
+ },
245
+ {
246
+ "epoch": 7.82,
247
+ "learning_rate": 8e-05,
248
+ "loss": 0.0852,
249
+ "step": 400
250
+ },
251
+ {
252
+ "epoch": 8.02,
253
+ "learning_rate": 8e-05,
254
+ "loss": 0.0611,
255
+ "step": 410
256
+ },
257
+ {
258
+ "epoch": 8.22,
259
+ "learning_rate": 8e-05,
260
+ "loss": 0.0399,
261
+ "step": 420
262
+ },
263
+ {
264
+ "epoch": 8.41,
265
+ "learning_rate": 8e-05,
266
+ "loss": 0.0597,
267
+ "step": 430
268
+ },
269
+ {
270
+ "epoch": 8.61,
271
+ "learning_rate": 8e-05,
272
+ "loss": 0.0502,
273
+ "step": 440
274
+ },
275
+ {
276
+ "epoch": 8.8,
277
+ "learning_rate": 8e-05,
278
+ "loss": 0.0535,
279
+ "step": 450
280
+ },
281
+ {
282
+ "epoch": 9.0,
283
+ "learning_rate": 8e-05,
284
+ "loss": 0.0347,
285
+ "step": 460
286
+ },
287
+ {
288
+ "epoch": 9.19,
289
+ "learning_rate": 8e-05,
290
+ "loss": 0.0323,
291
+ "step": 470
292
+ },
293
+ {
294
+ "epoch": 9.39,
295
+ "learning_rate": 8e-05,
296
+ "loss": 0.039,
297
+ "step": 480
298
+ },
299
+ {
300
+ "epoch": 9.58,
301
+ "learning_rate": 8e-05,
302
+ "loss": 0.0335,
303
+ "step": 490
304
+ },
305
+ {
306
+ "epoch": 9.78,
307
+ "learning_rate": 8e-05,
308
+ "loss": 0.0364,
309
+ "step": 500
310
+ },
311
+ {
312
+ "epoch": 9.98,
313
+ "learning_rate": 8e-05,
314
+ "loss": 0.0268,
315
+ "step": 510
316
+ },
317
+ {
318
+ "epoch": 10.17,
319
+ "learning_rate": 8e-05,
320
+ "loss": 0.0245,
321
+ "step": 520
322
+ },
323
+ {
324
+ "epoch": 10.37,
325
+ "learning_rate": 8e-05,
326
+ "loss": 0.0229,
327
+ "step": 530
328
+ },
329
+ {
330
+ "epoch": 10.56,
331
+ "learning_rate": 8e-05,
332
+ "loss": 0.0256,
333
+ "step": 540
334
+ },
335
+ {
336
+ "epoch": 10.76,
337
+ "learning_rate": 8e-05,
338
+ "loss": 0.0217,
339
+ "step": 550
340
+ },
341
+ {
342
+ "epoch": 10.95,
343
+ "learning_rate": 8e-05,
344
+ "loss": 0.0204,
345
+ "step": 560
346
+ },
347
+ {
348
+ "epoch": 11.15,
349
+ "learning_rate": 8e-05,
350
+ "loss": 0.0173,
351
+ "step": 570
352
+ },
353
+ {
354
+ "epoch": 11.34,
355
+ "learning_rate": 8e-05,
356
+ "loss": 0.0173,
357
+ "step": 580
358
+ },
359
+ {
360
+ "epoch": 11.54,
361
+ "learning_rate": 8e-05,
362
+ "loss": 0.0171,
363
+ "step": 590
364
+ },
365
+ {
366
+ "epoch": 11.74,
367
+ "learning_rate": 8e-05,
368
+ "loss": 0.0123,
369
+ "step": 600
370
+ },
371
+ {
372
+ "epoch": 11.93,
373
+ "learning_rate": 8e-05,
374
+ "loss": 0.0146,
375
+ "step": 610
376
+ },
377
+ {
378
+ "epoch": 12.13,
379
+ "learning_rate": 8e-05,
380
+ "loss": 0.0145,
381
+ "step": 620
382
+ },
383
+ {
384
+ "epoch": 12.32,
385
+ "learning_rate": 8e-05,
386
+ "loss": 0.0156,
387
+ "step": 630
388
+ },
389
+ {
390
+ "epoch": 12.52,
391
+ "learning_rate": 8e-05,
392
+ "loss": 0.0096,
393
+ "step": 640
394
+ },
395
+ {
396
+ "epoch": 12.71,
397
+ "learning_rate": 8e-05,
398
+ "loss": 0.0103,
399
+ "step": 650
400
+ },
401
+ {
402
+ "epoch": 12.91,
403
+ "learning_rate": 8e-05,
404
+ "loss": 0.0104,
405
+ "step": 660
406
+ },
407
+ {
408
+ "epoch": 13.11,
409
+ "learning_rate": 8e-05,
410
+ "loss": 0.0096,
411
+ "step": 670
412
+ },
413
+ {
414
+ "epoch": 13.3,
415
+ "learning_rate": 8e-05,
416
+ "loss": 0.0074,
417
+ "step": 680
418
+ },
419
+ {
420
+ "epoch": 13.5,
421
+ "learning_rate": 8e-05,
422
+ "loss": 0.0095,
423
+ "step": 690
424
+ },
425
+ {
426
+ "epoch": 13.69,
427
+ "learning_rate": 8e-05,
428
+ "loss": 0.0087,
429
+ "step": 700
430
+ },
431
+ {
432
+ "epoch": 13.89,
433
+ "learning_rate": 8e-05,
434
+ "loss": 0.0084,
435
+ "step": 710
436
+ },
437
+ {
438
+ "epoch": 14.08,
439
+ "learning_rate": 8e-05,
440
+ "loss": 0.0081,
441
+ "step": 720
442
+ },
443
+ {
444
+ "epoch": 14.28,
445
+ "learning_rate": 8e-05,
446
+ "loss": 0.0048,
447
+ "step": 730
448
+ },
449
+ {
450
+ "epoch": 14.47,
451
+ "learning_rate": 8e-05,
452
+ "loss": 0.0044,
453
+ "step": 740
454
+ },
455
+ {
456
+ "epoch": 14.67,
457
+ "learning_rate": 8e-05,
458
+ "loss": 0.008,
459
+ "step": 750
460
+ },
461
+ {
462
+ "epoch": 14.87,
463
+ "learning_rate": 8e-05,
464
+ "loss": 0.0067,
465
+ "step": 760
466
+ },
467
+ {
468
+ "epoch": 15.06,
469
+ "learning_rate": 8e-05,
470
+ "loss": 0.0065,
471
+ "step": 770
472
+ },
473
+ {
474
+ "epoch": 15.26,
475
+ "learning_rate": 8e-05,
476
+ "loss": 0.0061,
477
+ "step": 780
478
+ },
479
+ {
480
+ "epoch": 15.45,
481
+ "learning_rate": 8e-05,
482
+ "loss": 0.0074,
483
+ "step": 790
484
+ },
485
+ {
486
+ "epoch": 15.65,
487
+ "learning_rate": 8e-05,
488
+ "loss": 0.0062,
489
+ "step": 800
490
+ },
491
+ {
492
+ "epoch": 15.84,
493
+ "learning_rate": 8e-05,
494
+ "loss": 0.008,
495
+ "step": 810
496
+ },
497
+ {
498
+ "epoch": 16.04,
499
+ "learning_rate": 8e-05,
500
+ "loss": 0.0071,
501
+ "step": 820
502
+ },
503
+ {
504
+ "epoch": 16.23,
505
+ "learning_rate": 8e-05,
506
+ "loss": 0.0055,
507
+ "step": 830
508
+ },
509
+ {
510
+ "epoch": 16.43,
511
+ "learning_rate": 8e-05,
512
+ "loss": 0.0057,
513
+ "step": 840
514
+ },
515
+ {
516
+ "epoch": 16.63,
517
+ "learning_rate": 8e-05,
518
+ "loss": 0.0073,
519
+ "step": 850
520
+ },
521
+ {
522
+ "epoch": 16.82,
523
+ "learning_rate": 8e-05,
524
+ "loss": 0.0066,
525
+ "step": 860
526
+ },
527
+ {
528
+ "epoch": 17.02,
529
+ "learning_rate": 8e-05,
530
+ "loss": 0.0067,
531
+ "step": 870
532
+ },
533
+ {
534
+ "epoch": 17.21,
535
+ "learning_rate": 8e-05,
536
+ "loss": 0.0039,
537
+ "step": 880
538
+ },
539
+ {
540
+ "epoch": 17.41,
541
+ "learning_rate": 8e-05,
542
+ "loss": 0.0062,
543
+ "step": 890
544
+ },
545
+ {
546
+ "epoch": 17.6,
547
+ "learning_rate": 8e-05,
548
+ "loss": 0.0062,
549
+ "step": 900
550
+ },
551
+ {
552
+ "epoch": 17.8,
553
+ "learning_rate": 8e-05,
554
+ "loss": 0.0065,
555
+ "step": 910
556
+ },
557
+ {
558
+ "epoch": 18.0,
559
+ "learning_rate": 8e-05,
560
+ "loss": 0.0047,
561
+ "step": 920
562
+ },
563
+ {
564
+ "epoch": 18.19,
565
+ "learning_rate": 8e-05,
566
+ "loss": 0.0051,
567
+ "step": 930
568
+ },
569
+ {
570
+ "epoch": 18.39,
571
+ "learning_rate": 8e-05,
572
+ "loss": 0.0044,
573
+ "step": 940
574
+ },
575
+ {
576
+ "epoch": 18.58,
577
+ "learning_rate": 8e-05,
578
+ "loss": 0.0041,
579
+ "step": 950
580
+ },
581
+ {
582
+ "epoch": 18.78,
583
+ "learning_rate": 8e-05,
584
+ "loss": 0.0039,
585
+ "step": 960
586
+ },
587
+ {
588
+ "epoch": 18.97,
589
+ "learning_rate": 8e-05,
590
+ "loss": 0.0027,
591
+ "step": 970
592
+ },
593
+ {
594
+ "epoch": 19.17,
595
+ "learning_rate": 8e-05,
596
+ "loss": 0.0046,
597
+ "step": 980
598
+ },
599
+ {
600
+ "epoch": 19.36,
601
+ "learning_rate": 8e-05,
602
+ "loss": 0.0051,
603
+ "step": 990
604
+ },
605
+ {
606
+ "epoch": 19.56,
607
+ "learning_rate": 8e-05,
608
+ "loss": 0.0071,
609
+ "step": 1000
610
+ },
611
+ {
612
+ "epoch": 19.76,
613
+ "learning_rate": 8e-05,
614
+ "loss": 0.0064,
615
+ "step": 1010
616
+ },
617
+ {
618
+ "epoch": 19.95,
619
+ "learning_rate": 8e-05,
620
+ "loss": 0.0065,
621
+ "step": 1020
622
+ },
623
+ {
624
+ "epoch": 20.15,
625
+ "learning_rate": 8e-05,
626
+ "loss": 0.0056,
627
+ "step": 1030
628
+ },
629
+ {
630
+ "epoch": 20.34,
631
+ "learning_rate": 8e-05,
632
+ "loss": 0.0073,
633
+ "step": 1040
634
+ },
635
+ {
636
+ "epoch": 20.54,
637
+ "learning_rate": 8e-05,
638
+ "loss": 0.0078,
639
+ "step": 1050
640
+ },
641
+ {
642
+ "epoch": 20.73,
643
+ "learning_rate": 8e-05,
644
+ "loss": 0.0062,
645
+ "step": 1060
646
+ },
647
+ {
648
+ "epoch": 20.93,
649
+ "learning_rate": 8e-05,
650
+ "loss": 0.0045,
651
+ "step": 1070
652
+ },
653
+ {
654
+ "epoch": 21.12,
655
+ "learning_rate": 8e-05,
656
+ "loss": 0.0048,
657
+ "step": 1080
658
+ },
659
+ {
660
+ "epoch": 21.32,
661
+ "learning_rate": 8e-05,
662
+ "loss": 0.0036,
663
+ "step": 1090
664
+ },
665
+ {
666
+ "epoch": 21.52,
667
+ "learning_rate": 8e-05,
668
+ "loss": 0.005,
669
+ "step": 1100
670
+ },
671
+ {
672
+ "epoch": 21.71,
673
+ "learning_rate": 8e-05,
674
+ "loss": 0.0048,
675
+ "step": 1110
676
+ },
677
+ {
678
+ "epoch": 21.91,
679
+ "learning_rate": 8e-05,
680
+ "loss": 0.007,
681
+ "step": 1120
682
+ },
683
+ {
684
+ "epoch": 22.1,
685
+ "learning_rate": 8e-05,
686
+ "loss": 0.0061,
687
+ "step": 1130
688
+ },
689
+ {
690
+ "epoch": 22.3,
691
+ "learning_rate": 8e-05,
692
+ "loss": 0.0086,
693
+ "step": 1140
694
+ },
695
+ {
696
+ "epoch": 22.49,
697
+ "learning_rate": 8e-05,
698
+ "loss": 0.0049,
699
+ "step": 1150
700
+ },
701
+ {
702
+ "epoch": 22.69,
703
+ "learning_rate": 8e-05,
704
+ "loss": 0.008,
705
+ "step": 1160
706
+ },
707
+ {
708
+ "epoch": 22.89,
709
+ "learning_rate": 8e-05,
710
+ "loss": 0.0058,
711
+ "step": 1170
712
+ },
713
+ {
714
+ "epoch": 23.08,
715
+ "learning_rate": 8e-05,
716
+ "loss": 0.0078,
717
+ "step": 1180
718
+ },
719
+ {
720
+ "epoch": 23.28,
721
+ "learning_rate": 8e-05,
722
+ "loss": 0.0051,
723
+ "step": 1190
724
+ },
725
+ {
726
+ "epoch": 23.47,
727
+ "learning_rate": 8e-05,
728
+ "loss": 0.0051,
729
+ "step": 1200
730
+ },
731
+ {
732
+ "epoch": 23.67,
733
+ "learning_rate": 8e-05,
734
+ "loss": 0.0061,
735
+ "step": 1210
736
+ },
737
+ {
738
+ "epoch": 23.86,
739
+ "learning_rate": 8e-05,
740
+ "loss": 0.0072,
741
+ "step": 1220
742
+ },
743
+ {
744
+ "epoch": 24.06,
745
+ "learning_rate": 8e-05,
746
+ "loss": 0.0048,
747
+ "step": 1230
748
+ },
749
+ {
750
+ "epoch": 24.25,
751
+ "learning_rate": 8e-05,
752
+ "loss": 0.0041,
753
+ "step": 1240
754
+ },
755
+ {
756
+ "epoch": 24.45,
757
+ "learning_rate": 8e-05,
758
+ "loss": 0.0036,
759
+ "step": 1250
760
+ },
761
+ {
762
+ "epoch": 24.65,
763
+ "learning_rate": 8e-05,
764
+ "loss": 0.0043,
765
+ "step": 1260
766
+ },
767
+ {
768
+ "epoch": 24.84,
769
+ "learning_rate": 8e-05,
770
+ "loss": 0.0046,
771
+ "step": 1270
772
+ },
773
+ {
774
+ "epoch": 25.04,
775
+ "learning_rate": 8e-05,
776
+ "loss": 0.0055,
777
+ "step": 1280
778
+ },
779
+ {
780
+ "epoch": 25.23,
781
+ "learning_rate": 8e-05,
782
+ "loss": 0.0026,
783
+ "step": 1290
784
+ },
785
+ {
786
+ "epoch": 25.43,
787
+ "learning_rate": 8e-05,
788
+ "loss": 0.0043,
789
+ "step": 1300
790
+ },
791
+ {
792
+ "epoch": 25.62,
793
+ "learning_rate": 8e-05,
794
+ "loss": 0.0044,
795
+ "step": 1310
796
+ },
797
+ {
798
+ "epoch": 25.82,
799
+ "learning_rate": 8e-05,
800
+ "loss": 0.0041,
801
+ "step": 1320
802
+ },
803
+ {
804
+ "epoch": 26.01,
805
+ "learning_rate": 8e-05,
806
+ "loss": 0.0041,
807
+ "step": 1330
808
+ },
809
+ {
810
+ "epoch": 26.21,
811
+ "learning_rate": 8e-05,
812
+ "loss": 0.003,
813
+ "step": 1340
814
+ },
815
+ {
816
+ "epoch": 26.41,
817
+ "learning_rate": 8e-05,
818
+ "loss": 0.0021,
819
+ "step": 1350
820
+ },
821
+ {
822
+ "epoch": 26.6,
823
+ "learning_rate": 8e-05,
824
+ "loss": 0.0028,
825
+ "step": 1360
826
+ },
827
+ {
828
+ "epoch": 26.8,
829
+ "learning_rate": 8e-05,
830
+ "loss": 0.0036,
831
+ "step": 1370
832
+ },
833
+ {
834
+ "epoch": 26.99,
835
+ "learning_rate": 8e-05,
836
+ "loss": 0.0036,
837
+ "step": 1380
838
+ },
839
+ {
840
+ "epoch": 27.19,
841
+ "learning_rate": 8e-05,
842
+ "loss": 0.0024,
843
+ "step": 1390
844
+ },
845
+ {
846
+ "epoch": 27.38,
847
+ "learning_rate": 8e-05,
848
+ "loss": 0.0031,
849
+ "step": 1400
850
+ },
851
+ {
852
+ "epoch": 27.58,
853
+ "learning_rate": 8e-05,
854
+ "loss": 0.0021,
855
+ "step": 1410
856
+ },
857
+ {
858
+ "epoch": 27.78,
859
+ "learning_rate": 8e-05,
860
+ "loss": 0.0032,
861
+ "step": 1420
862
+ },
863
+ {
864
+ "epoch": 27.97,
865
+ "learning_rate": 8e-05,
866
+ "loss": 0.0024,
867
+ "step": 1430
868
+ },
869
+ {
870
+ "epoch": 28.17,
871
+ "learning_rate": 8e-05,
872
+ "loss": 0.0027,
873
+ "step": 1440
874
+ },
875
+ {
876
+ "epoch": 28.36,
877
+ "learning_rate": 8e-05,
878
+ "loss": 0.0014,
879
+ "step": 1450
880
+ },
881
+ {
882
+ "epoch": 28.56,
883
+ "learning_rate": 8e-05,
884
+ "loss": 0.0022,
885
+ "step": 1460
886
+ },
887
+ {
888
+ "epoch": 28.75,
889
+ "learning_rate": 8e-05,
890
+ "loss": 0.0025,
891
+ "step": 1470
892
+ },
893
+ {
894
+ "epoch": 28.95,
895
+ "learning_rate": 8e-05,
896
+ "loss": 0.0021,
897
+ "step": 1480
898
+ },
899
+ {
900
+ "epoch": 29.14,
901
+ "learning_rate": 8e-05,
902
+ "loss": 0.0024,
903
+ "step": 1490
904
+ },
905
+ {
906
+ "epoch": 29.34,
907
+ "learning_rate": 8e-05,
908
+ "loss": 0.0024,
909
+ "step": 1500
910
+ },
911
+ {
912
+ "epoch": 29.54,
913
+ "learning_rate": 8e-05,
914
+ "loss": 0.0023,
915
+ "step": 1510
916
+ },
917
+ {
918
+ "epoch": 29.73,
919
+ "learning_rate": 8e-05,
920
+ "loss": 0.0015,
921
+ "step": 1520
922
+ },
923
+ {
924
+ "epoch": 29.93,
925
+ "learning_rate": 8e-05,
926
+ "loss": 0.0013,
927
+ "step": 1530
928
+ },
929
+ {
930
+ "epoch": 30.12,
931
+ "learning_rate": 8e-05,
932
+ "loss": 0.0018,
933
+ "step": 1540
934
+ },
935
+ {
936
+ "epoch": 30.32,
937
+ "learning_rate": 8e-05,
938
+ "loss": 0.001,
939
+ "step": 1550
940
+ },
941
+ {
942
+ "epoch": 30.51,
943
+ "learning_rate": 8e-05,
944
+ "loss": 0.0019,
945
+ "step": 1560
946
+ },
947
+ {
948
+ "epoch": 30.71,
949
+ "learning_rate": 8e-05,
950
+ "loss": 0.0014,
951
+ "step": 1570
952
+ },
953
+ {
954
+ "epoch": 30.9,
955
+ "learning_rate": 8e-05,
956
+ "loss": 0.0019,
957
+ "step": 1580
958
+ },
959
+ {
960
+ "epoch": 31.1,
961
+ "learning_rate": 8e-05,
962
+ "loss": 0.0031,
963
+ "step": 1590
964
+ },
965
+ {
966
+ "epoch": 31.3,
967
+ "learning_rate": 8e-05,
968
+ "loss": 0.0014,
969
+ "step": 1600
970
+ },
971
+ {
972
+ "epoch": 31.49,
973
+ "learning_rate": 8e-05,
974
+ "loss": 0.0007,
975
+ "step": 1610
976
+ },
977
+ {
978
+ "epoch": 31.69,
979
+ "learning_rate": 8e-05,
980
+ "loss": 0.0016,
981
+ "step": 1620
982
+ },
983
+ {
984
+ "epoch": 31.88,
985
+ "learning_rate": 8e-05,
986
+ "loss": 0.0018,
987
+ "step": 1630
988
+ },
989
+ {
990
+ "epoch": 32.08,
991
+ "learning_rate": 8e-05,
992
+ "loss": 0.0017,
993
+ "step": 1640
994
+ },
995
+ {
996
+ "epoch": 32.27,
997
+ "learning_rate": 8e-05,
998
+ "loss": 0.0011,
999
+ "step": 1650
1000
+ },
1001
+ {
1002
+ "epoch": 32.47,
1003
+ "learning_rate": 8e-05,
1004
+ "loss": 0.0021,
1005
+ "step": 1660
1006
+ },
1007
+ {
1008
+ "epoch": 32.67,
1009
+ "learning_rate": 8e-05,
1010
+ "loss": 0.0023,
1011
+ "step": 1670
1012
+ },
1013
+ {
1014
+ "epoch": 32.86,
1015
+ "learning_rate": 8e-05,
1016
+ "loss": 0.0013,
1017
+ "step": 1680
1018
+ },
1019
+ {
1020
+ "epoch": 33.06,
1021
+ "learning_rate": 8e-05,
1022
+ "loss": 0.002,
1023
+ "step": 1690
1024
+ },
1025
+ {
1026
+ "epoch": 33.25,
1027
+ "learning_rate": 8e-05,
1028
+ "loss": 0.0017,
1029
+ "step": 1700
1030
+ },
1031
+ {
1032
+ "epoch": 33.45,
1033
+ "learning_rate": 8e-05,
1034
+ "loss": 0.0034,
1035
+ "step": 1710
1036
+ },
1037
+ {
1038
+ "epoch": 33.64,
1039
+ "learning_rate": 8e-05,
1040
+ "loss": 0.0024,
1041
+ "step": 1720
1042
+ },
1043
+ {
1044
+ "epoch": 33.84,
1045
+ "learning_rate": 8e-05,
1046
+ "loss": 0.003,
1047
+ "step": 1730
1048
+ },
1049
+ {
1050
+ "epoch": 34.03,
1051
+ "learning_rate": 8e-05,
1052
+ "loss": 0.0036,
1053
+ "step": 1740
1054
+ },
1055
+ {
1056
+ "epoch": 34.23,
1057
+ "learning_rate": 8e-05,
1058
+ "loss": 0.0029,
1059
+ "step": 1750
1060
+ },
1061
+ {
1062
+ "epoch": 34.43,
1063
+ "learning_rate": 8e-05,
1064
+ "loss": 0.0035,
1065
+ "step": 1760
1066
+ },
1067
+ {
1068
+ "epoch": 34.62,
1069
+ "learning_rate": 8e-05,
1070
+ "loss": 0.004,
1071
+ "step": 1770
1072
+ },
1073
+ {
1074
+ "epoch": 34.82,
1075
+ "learning_rate": 8e-05,
1076
+ "loss": 0.0035,
1077
+ "step": 1780
1078
+ },
1079
+ {
1080
+ "epoch": 35.01,
1081
+ "learning_rate": 8e-05,
1082
+ "loss": 0.0051,
1083
+ "step": 1790
1084
+ },
1085
+ {
1086
+ "epoch": 35.21,
1087
+ "learning_rate": 8e-05,
1088
+ "loss": 0.0038,
1089
+ "step": 1800
1090
+ },
1091
+ {
1092
+ "epoch": 35.4,
1093
+ "learning_rate": 8e-05,
1094
+ "loss": 0.0035,
1095
+ "step": 1810
1096
+ },
1097
+ {
1098
+ "epoch": 35.6,
1099
+ "learning_rate": 8e-05,
1100
+ "loss": 0.004,
1101
+ "step": 1820
1102
+ },
1103
+ {
1104
+ "epoch": 35.79,
1105
+ "learning_rate": 8e-05,
1106
+ "loss": 0.0037,
1107
+ "step": 1830
1108
+ },
1109
+ {
1110
+ "epoch": 35.99,
1111
+ "learning_rate": 8e-05,
1112
+ "loss": 0.0055,
1113
+ "step": 1840
1114
+ },
1115
+ {
1116
+ "epoch": 36.19,
1117
+ "learning_rate": 8e-05,
1118
+ "loss": 0.0112,
1119
+ "step": 1850
1120
+ },
1121
+ {
1122
+ "epoch": 36.38,
1123
+ "learning_rate": 8e-05,
1124
+ "loss": 0.0031,
1125
+ "step": 1860
1126
+ },
1127
+ {
1128
+ "epoch": 36.58,
1129
+ "learning_rate": 8e-05,
1130
+ "loss": 0.0044,
1131
+ "step": 1870
1132
+ },
1133
+ {
1134
+ "epoch": 36.77,
1135
+ "learning_rate": 8e-05,
1136
+ "loss": 0.0057,
1137
+ "step": 1880
1138
+ },
1139
+ {
1140
+ "epoch": 36.97,
1141
+ "learning_rate": 8e-05,
1142
+ "loss": 0.0083,
1143
+ "step": 1890
1144
+ },
1145
+ {
1146
+ "epoch": 37.16,
1147
+ "learning_rate": 8e-05,
1148
+ "loss": 0.0043,
1149
+ "step": 1900
1150
+ },
1151
+ {
1152
+ "epoch": 37.36,
1153
+ "learning_rate": 8e-05,
1154
+ "loss": 0.0047,
1155
+ "step": 1910
1156
+ },
1157
+ {
1158
+ "epoch": 37.56,
1159
+ "learning_rate": 8e-05,
1160
+ "loss": 0.0048,
1161
+ "step": 1920
1162
+ },
1163
+ {
1164
+ "epoch": 37.75,
1165
+ "learning_rate": 8e-05,
1166
+ "loss": 0.0068,
1167
+ "step": 1930
1168
+ },
1169
+ {
1170
+ "epoch": 37.95,
1171
+ "learning_rate": 8e-05,
1172
+ "loss": 0.0068,
1173
+ "step": 1940
1174
+ },
1175
+ {
1176
+ "epoch": 38.14,
1177
+ "learning_rate": 8e-05,
1178
+ "loss": 0.006,
1179
+ "step": 1950
1180
+ },
1181
+ {
1182
+ "epoch": 38.34,
1183
+ "learning_rate": 8e-05,
1184
+ "loss": 0.0069,
1185
+ "step": 1960
1186
+ },
1187
+ {
1188
+ "epoch": 38.53,
1189
+ "learning_rate": 8e-05,
1190
+ "loss": 0.0069,
1191
+ "step": 1970
1192
+ },
1193
+ {
1194
+ "epoch": 38.73,
1195
+ "learning_rate": 8e-05,
1196
+ "loss": 0.005,
1197
+ "step": 1980
1198
+ },
1199
+ {
1200
+ "epoch": 38.92,
1201
+ "learning_rate": 8e-05,
1202
+ "loss": 0.0084,
1203
+ "step": 1990
1204
+ },
1205
+ {
1206
+ "epoch": 39.12,
1207
+ "learning_rate": 8e-05,
1208
+ "loss": 0.0067,
1209
+ "step": 2000
1210
+ },
1211
+ {
1212
+ "epoch": 39.12,
1213
+ "eval_loss": 0.8936046361923218,
1214
+ "eval_runtime": 0.3385,
1215
+ "eval_samples_per_second": 2.954,
1216
+ "eval_steps_per_second": 2.954,
1217
+ "step": 2000
1218
+ },
1219
+ {
1220
+ "epoch": 39.32,
1221
+ "learning_rate": 8e-05,
1222
+ "loss": 0.0051,
1223
+ "step": 2010
1224
+ },
1225
+ {
1226
+ "epoch": 39.51,
1227
+ "learning_rate": 8e-05,
1228
+ "loss": 0.0059,
1229
+ "step": 2020
1230
+ },
1231
+ {
1232
+ "epoch": 39.71,
1233
+ "learning_rate": 8e-05,
1234
+ "loss": 0.0069,
1235
+ "step": 2030
1236
+ },
1237
+ {
1238
+ "epoch": 39.9,
1239
+ "learning_rate": 8e-05,
1240
+ "loss": 0.0076,
1241
+ "step": 2040
1242
+ },
1243
+ {
1244
+ "epoch": 40.1,
1245
+ "learning_rate": 8e-05,
1246
+ "loss": 0.0061,
1247
+ "step": 2050
1248
+ },
1249
+ {
1250
+ "epoch": 40.29,
1251
+ "learning_rate": 8e-05,
1252
+ "loss": 0.0075,
1253
+ "step": 2060
1254
+ },
1255
+ {
1256
+ "epoch": 40.49,
1257
+ "learning_rate": 8e-05,
1258
+ "loss": 0.0066,
1259
+ "step": 2070
1260
+ },
1261
+ {
1262
+ "epoch": 40.68,
1263
+ "learning_rate": 8e-05,
1264
+ "loss": 0.0081,
1265
+ "step": 2080
1266
+ },
1267
+ {
1268
+ "epoch": 40.88,
1269
+ "learning_rate": 8e-05,
1270
+ "loss": 0.0062,
1271
+ "step": 2090
1272
+ },
1273
+ {
1274
+ "epoch": 41.08,
1275
+ "learning_rate": 8e-05,
1276
+ "loss": 0.0059,
1277
+ "step": 2100
1278
+ },
1279
+ {
1280
+ "epoch": 41.27,
1281
+ "learning_rate": 8e-05,
1282
+ "loss": 0.0035,
1283
+ "step": 2110
1284
+ },
1285
+ {
1286
+ "epoch": 41.47,
1287
+ "learning_rate": 8e-05,
1288
+ "loss": 0.0032,
1289
+ "step": 2120
1290
+ },
1291
+ {
1292
+ "epoch": 41.66,
1293
+ "learning_rate": 8e-05,
1294
+ "loss": 0.0061,
1295
+ "step": 2130
1296
+ },
1297
+ {
1298
+ "epoch": 41.86,
1299
+ "learning_rate": 8e-05,
1300
+ "loss": 0.0048,
1301
+ "step": 2140
1302
+ },
1303
+ {
1304
+ "epoch": 42.05,
1305
+ "learning_rate": 8e-05,
1306
+ "loss": 0.0079,
1307
+ "step": 2150
1308
+ },
1309
+ {
1310
+ "epoch": 42.25,
1311
+ "learning_rate": 8e-05,
1312
+ "loss": 0.0055,
1313
+ "step": 2160
1314
+ },
1315
+ {
1316
+ "epoch": 42.44,
1317
+ "learning_rate": 8e-05,
1318
+ "loss": 0.0038,
1319
+ "step": 2170
1320
+ },
1321
+ {
1322
+ "epoch": 42.64,
1323
+ "learning_rate": 8e-05,
1324
+ "loss": 0.0047,
1325
+ "step": 2180
1326
+ },
1327
+ {
1328
+ "epoch": 42.84,
1329
+ "learning_rate": 8e-05,
1330
+ "loss": 0.0032,
1331
+ "step": 2190
1332
+ },
1333
+ {
1334
+ "epoch": 43.03,
1335
+ "learning_rate": 8e-05,
1336
+ "loss": 0.0073,
1337
+ "step": 2200
1338
+ },
1339
+ {
1340
+ "epoch": 43.23,
1341
+ "learning_rate": 8e-05,
1342
+ "loss": 0.004,
1343
+ "step": 2210
1344
+ },
1345
+ {
1346
+ "epoch": 43.42,
1347
+ "learning_rate": 8e-05,
1348
+ "loss": 0.0058,
1349
+ "step": 2220
1350
+ },
1351
+ {
1352
+ "epoch": 43.62,
1353
+ "learning_rate": 8e-05,
1354
+ "loss": 0.0042,
1355
+ "step": 2230
1356
+ },
1357
+ {
1358
+ "epoch": 43.81,
1359
+ "learning_rate": 8e-05,
1360
+ "loss": 0.0045,
1361
+ "step": 2240
1362
+ },
1363
+ {
1364
+ "epoch": 44.01,
1365
+ "learning_rate": 8e-05,
1366
+ "loss": 0.0033,
1367
+ "step": 2250
1368
+ },
1369
+ {
1370
+ "epoch": 44.21,
1371
+ "learning_rate": 8e-05,
1372
+ "loss": 0.0025,
1373
+ "step": 2260
1374
+ },
1375
+ {
1376
+ "epoch": 44.4,
1377
+ "learning_rate": 8e-05,
1378
+ "loss": 0.0051,
1379
+ "step": 2270
1380
+ },
1381
+ {
1382
+ "epoch": 44.6,
1383
+ "learning_rate": 8e-05,
1384
+ "loss": 0.0049,
1385
+ "step": 2280
1386
+ },
1387
+ {
1388
+ "epoch": 44.79,
1389
+ "learning_rate": 8e-05,
1390
+ "loss": 0.004,
1391
+ "step": 2290
1392
+ },
1393
+ {
1394
+ "epoch": 44.99,
1395
+ "learning_rate": 8e-05,
1396
+ "loss": 0.0035,
1397
+ "step": 2300
1398
+ },
1399
+ {
1400
+ "epoch": 45.18,
1401
+ "learning_rate": 8e-05,
1402
+ "loss": 0.0023,
1403
+ "step": 2310
1404
+ },
1405
+ {
1406
+ "epoch": 45.38,
1407
+ "learning_rate": 8e-05,
1408
+ "loss": 0.0036,
1409
+ "step": 2320
1410
+ },
1411
+ {
1412
+ "epoch": 45.57,
1413
+ "learning_rate": 8e-05,
1414
+ "loss": 0.0035,
1415
+ "step": 2330
1416
+ },
1417
+ {
1418
+ "epoch": 45.77,
1419
+ "learning_rate": 8e-05,
1420
+ "loss": 0.0043,
1421
+ "step": 2340
1422
+ },
1423
+ {
1424
+ "epoch": 45.97,
1425
+ "learning_rate": 8e-05,
1426
+ "loss": 0.0041,
1427
+ "step": 2350
1428
+ },
1429
+ {
1430
+ "epoch": 46.16,
1431
+ "learning_rate": 8e-05,
1432
+ "loss": 0.0032,
1433
+ "step": 2360
1434
+ },
1435
+ {
1436
+ "epoch": 46.36,
1437
+ "learning_rate": 8e-05,
1438
+ "loss": 0.0026,
1439
+ "step": 2370
1440
+ },
1441
+ {
1442
+ "epoch": 46.55,
1443
+ "learning_rate": 8e-05,
1444
+ "loss": 0.0055,
1445
+ "step": 2380
1446
+ },
1447
+ {
1448
+ "epoch": 46.75,
1449
+ "learning_rate": 8e-05,
1450
+ "loss": 0.0038,
1451
+ "step": 2390
1452
+ },
1453
+ {
1454
+ "epoch": 46.94,
1455
+ "learning_rate": 8e-05,
1456
+ "loss": 0.0038,
1457
+ "step": 2400
1458
+ },
1459
+ {
1460
+ "epoch": 47.14,
1461
+ "learning_rate": 8e-05,
1462
+ "loss": 0.0017,
1463
+ "step": 2410
1464
+ },
1465
+ {
1466
+ "epoch": 47.33,
1467
+ "learning_rate": 8e-05,
1468
+ "loss": 0.002,
1469
+ "step": 2420
1470
+ },
1471
+ {
1472
+ "epoch": 47.53,
1473
+ "learning_rate": 8e-05,
1474
+ "loss": 0.0021,
1475
+ "step": 2430
1476
+ },
1477
+ {
1478
+ "epoch": 47.73,
1479
+ "learning_rate": 8e-05,
1480
+ "loss": 0.0018,
1481
+ "step": 2440
1482
+ },
1483
+ {
1484
+ "epoch": 47.92,
1485
+ "learning_rate": 8e-05,
1486
+ "loss": 0.002,
1487
+ "step": 2450
1488
+ },
1489
+ {
1490
+ "epoch": 48.12,
1491
+ "learning_rate": 8e-05,
1492
+ "loss": 0.003,
1493
+ "step": 2460
1494
+ },
1495
+ {
1496
+ "epoch": 48.31,
1497
+ "learning_rate": 8e-05,
1498
+ "loss": 0.0023,
1499
+ "step": 2470
1500
+ },
1501
+ {
1502
+ "epoch": 48.51,
1503
+ "learning_rate": 8e-05,
1504
+ "loss": 0.0019,
1505
+ "step": 2480
1506
+ },
1507
+ {
1508
+ "epoch": 48.7,
1509
+ "learning_rate": 8e-05,
1510
+ "loss": 0.0025,
1511
+ "step": 2490
1512
+ },
1513
+ {
1514
+ "epoch": 48.9,
1515
+ "learning_rate": 8e-05,
1516
+ "loss": 0.0017,
1517
+ "step": 2500
1518
+ },
1519
+ {
1520
+ "epoch": 49.1,
1521
+ "learning_rate": 8e-05,
1522
+ "loss": 0.0014,
1523
+ "step": 2510
1524
+ },
1525
+ {
1526
+ "epoch": 49.29,
1527
+ "learning_rate": 8e-05,
1528
+ "loss": 0.0015,
1529
+ "step": 2520
1530
+ },
1531
+ {
1532
+ "epoch": 49.49,
1533
+ "learning_rate": 8e-05,
1534
+ "loss": 0.0012,
1535
+ "step": 2530
1536
+ },
1537
+ {
1538
+ "epoch": 49.68,
1539
+ "learning_rate": 8e-05,
1540
+ "loss": 0.0024,
1541
+ "step": 2540
1542
+ },
1543
+ {
1544
+ "epoch": 49.88,
1545
+ "learning_rate": 8e-05,
1546
+ "loss": 0.0019,
1547
+ "step": 2550
1548
+ },
1549
+ {
1550
+ "epoch": 50.07,
1551
+ "learning_rate": 8e-05,
1552
+ "loss": 0.0013,
1553
+ "step": 2560
1554
+ },
1555
+ {
1556
+ "epoch": 50.27,
1557
+ "learning_rate": 8e-05,
1558
+ "loss": 0.0023,
1559
+ "step": 2570
1560
+ },
1561
+ {
1562
+ "epoch": 50.46,
1563
+ "learning_rate": 8e-05,
1564
+ "loss": 0.0008,
1565
+ "step": 2580
1566
+ },
1567
+ {
1568
+ "epoch": 50.66,
1569
+ "learning_rate": 8e-05,
1570
+ "loss": 0.0013,
1571
+ "step": 2590
1572
+ },
1573
+ {
1574
+ "epoch": 50.86,
1575
+ "learning_rate": 8e-05,
1576
+ "loss": 0.0012,
1577
+ "step": 2600
1578
+ },
1579
+ {
1580
+ "epoch": 51.05,
1581
+ "learning_rate": 8e-05,
1582
+ "loss": 0.0025,
1583
+ "step": 2610
1584
+ },
1585
+ {
1586
+ "epoch": 51.25,
1587
+ "learning_rate": 8e-05,
1588
+ "loss": 0.002,
1589
+ "step": 2620
1590
+ },
1591
+ {
1592
+ "epoch": 51.44,
1593
+ "learning_rate": 8e-05,
1594
+ "loss": 0.0013,
1595
+ "step": 2630
1596
+ },
1597
+ {
1598
+ "epoch": 51.64,
1599
+ "learning_rate": 8e-05,
1600
+ "loss": 0.0018,
1601
+ "step": 2640
1602
+ },
1603
+ {
1604
+ "epoch": 51.83,
1605
+ "learning_rate": 8e-05,
1606
+ "loss": 0.0015,
1607
+ "step": 2650
1608
+ },
1609
+ {
1610
+ "epoch": 52.03,
1611
+ "learning_rate": 8e-05,
1612
+ "loss": 0.0011,
1613
+ "step": 2660
1614
+ },
1615
+ {
1616
+ "epoch": 52.22,
1617
+ "learning_rate": 8e-05,
1618
+ "loss": 0.0008,
1619
+ "step": 2670
1620
+ },
1621
+ {
1622
+ "epoch": 52.42,
1623
+ "learning_rate": 8e-05,
1624
+ "loss": 0.0014,
1625
+ "step": 2680
1626
+ },
1627
+ {
1628
+ "epoch": 52.62,
1629
+ "learning_rate": 8e-05,
1630
+ "loss": 0.0012,
1631
+ "step": 2690
1632
+ },
1633
+ {
1634
+ "epoch": 52.81,
1635
+ "learning_rate": 8e-05,
1636
+ "loss": 0.0011,
1637
+ "step": 2700
1638
+ },
1639
+ {
1640
+ "epoch": 53.01,
1641
+ "learning_rate": 8e-05,
1642
+ "loss": 0.0019,
1643
+ "step": 2710
1644
+ },
1645
+ {
1646
+ "epoch": 53.2,
1647
+ "learning_rate": 8e-05,
1648
+ "loss": 0.0008,
1649
+ "step": 2720
1650
+ },
1651
+ {
1652
+ "epoch": 53.4,
1653
+ "learning_rate": 8e-05,
1654
+ "loss": 0.0013,
1655
+ "step": 2730
1656
+ },
1657
+ {
1658
+ "epoch": 53.59,
1659
+ "learning_rate": 8e-05,
1660
+ "loss": 0.0009,
1661
+ "step": 2740
1662
+ },
1663
+ {
1664
+ "epoch": 53.79,
1665
+ "learning_rate": 8e-05,
1666
+ "loss": 0.001,
1667
+ "step": 2750
1668
+ },
1669
+ {
1670
+ "epoch": 53.99,
1671
+ "learning_rate": 8e-05,
1672
+ "loss": 0.001,
1673
+ "step": 2760
1674
+ },
1675
+ {
1676
+ "epoch": 54.18,
1677
+ "learning_rate": 8e-05,
1678
+ "loss": 0.0009,
1679
+ "step": 2770
1680
+ },
1681
+ {
1682
+ "epoch": 54.38,
1683
+ "learning_rate": 8e-05,
1684
+ "loss": 0.0008,
1685
+ "step": 2780
1686
+ },
1687
+ {
1688
+ "epoch": 54.57,
1689
+ "learning_rate": 8e-05,
1690
+ "loss": 0.0008,
1691
+ "step": 2790
1692
+ },
1693
+ {
1694
+ "epoch": 54.77,
1695
+ "learning_rate": 8e-05,
1696
+ "loss": 0.0004,
1697
+ "step": 2800
1698
+ },
1699
+ {
1700
+ "epoch": 54.96,
1701
+ "learning_rate": 8e-05,
1702
+ "loss": 0.0009,
1703
+ "step": 2810
1704
+ },
1705
+ {
1706
+ "epoch": 55.16,
1707
+ "learning_rate": 8e-05,
1708
+ "loss": 0.0004,
1709
+ "step": 2820
1710
+ },
1711
+ {
1712
+ "epoch": 55.35,
1713
+ "learning_rate": 8e-05,
1714
+ "loss": 0.0005,
1715
+ "step": 2830
1716
+ },
1717
+ {
1718
+ "epoch": 55.55,
1719
+ "learning_rate": 8e-05,
1720
+ "loss": 0.0008,
1721
+ "step": 2840
1722
+ },
1723
+ {
1724
+ "epoch": 55.75,
1725
+ "learning_rate": 8e-05,
1726
+ "loss": 0.0009,
1727
+ "step": 2850
1728
+ },
1729
+ {
1730
+ "epoch": 55.94,
1731
+ "learning_rate": 8e-05,
1732
+ "loss": 0.0008,
1733
+ "step": 2860
1734
+ },
1735
+ {
1736
+ "epoch": 56.14,
1737
+ "learning_rate": 8e-05,
1738
+ "loss": 0.0006,
1739
+ "step": 2870
1740
+ },
1741
+ {
1742
+ "epoch": 56.33,
1743
+ "learning_rate": 8e-05,
1744
+ "loss": 0.0006,
1745
+ "step": 2880
1746
+ },
1747
+ {
1748
+ "epoch": 56.53,
1749
+ "learning_rate": 8e-05,
1750
+ "loss": 0.0005,
1751
+ "step": 2890
1752
+ },
1753
+ {
1754
+ "epoch": 56.72,
1755
+ "learning_rate": 8e-05,
1756
+ "loss": 0.0003,
1757
+ "step": 2900
1758
+ },
1759
+ {
1760
+ "epoch": 56.92,
1761
+ "learning_rate": 8e-05,
1762
+ "loss": 0.0026,
1763
+ "step": 2910
1764
+ },
1765
+ {
1766
+ "epoch": 57.11,
1767
+ "learning_rate": 8e-05,
1768
+ "loss": 0.0008,
1769
+ "step": 2920
1770
+ },
1771
+ {
1772
+ "epoch": 57.31,
1773
+ "learning_rate": 8e-05,
1774
+ "loss": 0.0008,
1775
+ "step": 2930
1776
+ },
1777
+ {
1778
+ "epoch": 57.51,
1779
+ "learning_rate": 8e-05,
1780
+ "loss": 0.0016,
1781
+ "step": 2940
1782
+ },
1783
+ {
1784
+ "epoch": 57.7,
1785
+ "learning_rate": 8e-05,
1786
+ "loss": 0.0004,
1787
+ "step": 2950
1788
+ },
1789
+ {
1790
+ "epoch": 57.9,
1791
+ "learning_rate": 8e-05,
1792
+ "loss": 0.0003,
1793
+ "step": 2960
1794
+ },
1795
+ {
1796
+ "epoch": 58.09,
1797
+ "learning_rate": 8e-05,
1798
+ "loss": 0.0007,
1799
+ "step": 2970
1800
+ },
1801
+ {
1802
+ "epoch": 58.29,
1803
+ "learning_rate": 8e-05,
1804
+ "loss": 0.0004,
1805
+ "step": 2980
1806
+ },
1807
+ {
1808
+ "epoch": 58.48,
1809
+ "learning_rate": 8e-05,
1810
+ "loss": 0.0002,
1811
+ "step": 2990
1812
+ },
1813
+ {
1814
+ "epoch": 58.68,
1815
+ "learning_rate": 8e-05,
1816
+ "loss": 0.0007,
1817
+ "step": 3000
1818
+ }
1819
+ ],
1820
+ "logging_steps": 10,
1821
+ "max_steps": 100000,
1822
+ "num_train_epochs": 1961,
1823
+ "save_steps": 500,
1824
+ "total_flos": 2.34588386134997e+18,
1825
+ "trial_name": null,
1826
+ "trial_params": null
1827
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5a56009a1a03ba5b1900efaef2c42fdd92653c771654ee24af6f9a7369b6af23
3
+ size 5883