Ritvik19 commited on
Commit
7d7e60e
·
verified ·
1 Parent(s): 7c314fe

Upload 15 files

Browse files
README.md CHANGED
@@ -1,3 +1,52 @@
1
- ---
2
- license: apache-2.0
3
- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: mit
3
+ library_name: peft
4
+ tags:
5
+ - alignment-handbook
6
+ - generated_from_trainer
7
+ base_model: microsoft/phi-1_5
8
+ datasets:
9
+ - Ritvik19/open-hermes-2_5-reformatted
10
+ model-index:
11
+ - name: openhermes-phi-1_5-sft-qlora
12
+ results: []
13
+ ---
14
+
15
+ **Note**: This model card has been generated automatically according to the information the Trainer had access to.
16
+ Visit the [model card](https://ritvik19.github.io/small-llms/) to see the full description.
17
+
18
+ # openhermes-phi-1_5-sft-qlora
19
+
20
+ This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on the Ritvik19/open-hermes-2_5-reformatted dataset.
21
+ It achieves the following results on the evaluation set:
22
+ - Loss: 1.4192
23
+
24
+ ### Training hyperparameters
25
+
26
+ The following hyperparameters were used during training:
27
+ - learning_rate: 0.0002
28
+ - train_batch_size: 1
29
+ - eval_batch_size: 1
30
+ - seed: 42
31
+ - distributed_type: multi-GPU
32
+ - gradient_accumulation_steps: 128
33
+ - total_train_batch_size: 128
34
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
35
+ - lr_scheduler_type: cosine
36
+ - lr_scheduler_warmup_ratio: 0.1
37
+ - num_epochs: 1
38
+
39
+ ### Training results
40
+
41
+ | Training Loss | Epoch | Step | Validation Loss |
42
+ |:-------------:|:------:|:----:|:---------------:|
43
+ | 1.3662 | 0.9994 | 1559 | 1.4192 |
44
+
45
+
46
+ ### Framework versions
47
+
48
+ - PEFT 0.7.1
49
+ - Transformers 4.40.1
50
+ - Pytorch 2.1.2+cu121
51
+ - Datasets 2.19.0
52
+ - Tokenizers 0.19.1
adapter_config.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "microsoft/phi-1_5",
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
+ "loftq_config": {},
12
+ "lora_alpha": 16,
13
+ "lora_dropout": 0.05,
14
+ "megatron_config": null,
15
+ "megatron_core": "megatron.core",
16
+ "modules_to_save": null,
17
+ "peft_type": "LORA",
18
+ "r": 16,
19
+ "rank_pattern": {},
20
+ "revision": null,
21
+ "target_modules": [
22
+ "v_proj",
23
+ "k_proj",
24
+ "o_proj",
25
+ "q_proj",
26
+ "up_proj",
27
+ "gate_proj",
28
+ "down_proj"
29
+ ],
30
+ "task_type": "CAUSAL_LM"
31
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7e10b68aad77bff7fd7a087790709cf46c9f1f701e63ec1134308eff7fc084fe
3
+ size 9456424
added_tokens.json ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "\t\t": 50294,
3
+ "\t\t\t": 50293,
4
+ "\t\t\t\t": 50292,
5
+ "\t\t\t\t\t": 50291,
6
+ "\t\t\t\t\t\t": 50290,
7
+ "\t\t\t\t\t\t\t": 50289,
8
+ "\t\t\t\t\t\t\t\t": 50288,
9
+ "\t\t\t\t\t\t\t\t\t": 50287,
10
+ " ": 50286,
11
+ " ": 50285,
12
+ " ": 50284,
13
+ " ": 50283,
14
+ " ": 50282,
15
+ " ": 50281,
16
+ " ": 50280,
17
+ " ": 50279,
18
+ " ": 50278,
19
+ " ": 50277,
20
+ " ": 50276,
21
+ " ": 50275,
22
+ " ": 50274,
23
+ " ": 50273,
24
+ " ": 50272,
25
+ " ": 50271,
26
+ " ": 50270,
27
+ " ": 50269,
28
+ " ": 50268,
29
+ " ": 50267,
30
+ " ": 50266,
31
+ " ": 50265,
32
+ " ": 50264,
33
+ " ": 50263,
34
+ " ": 50262,
35
+ " ": 50261,
36
+ " ": 50260,
37
+ " ": 50259,
38
+ " ": 50258,
39
+ " ": 50257
40
+ }
all_results.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 0.9993739889922224,
3
+ "eval_loss": 1.4191993474960327,
4
+ "eval_runtime": 1934.5604,
5
+ "eval_samples": 23109,
6
+ "eval_samples_per_second": 7.315,
7
+ "eval_steps_per_second": 7.315,
8
+ "total_flos": 3.232184148701479e+18,
9
+ "train_loss": 0.016414370117774753,
10
+ "train_runtime": 2971.8566,
11
+ "train_samples": 1001538,
12
+ "train_samples_per_second": 67.189,
13
+ "train_steps_per_second": 0.525
14
+ }
config.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "microsoft/phi-1_5",
3
+ "architectures": [
4
+ "PhiForCausalLM"
5
+ ],
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": null,
8
+ "embd_pdrop": 0.0,
9
+ "eos_token_id": null,
10
+ "hidden_act": "gelu_new",
11
+ "hidden_size": 2048,
12
+ "initializer_range": 0.02,
13
+ "intermediate_size": 8192,
14
+ "layer_norm_eps": 1e-05,
15
+ "max_position_embeddings": 2048,
16
+ "model_type": "phi",
17
+ "num_attention_heads": 32,
18
+ "num_hidden_layers": 24,
19
+ "num_key_value_heads": 32,
20
+ "partial_rotary_factor": 0.5,
21
+ "qk_layernorm": false,
22
+ "resid_pdrop": 0.0,
23
+ "rope_scaling": null,
24
+ "rope_theta": 10000.0,
25
+ "tie_word_embeddings": false,
26
+ "torch_dtype": "bfloat16",
27
+ "transformers_version": "4.40.1",
28
+ "use_cache": true,
29
+ "vocab_size": 51200
30
+ }
eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 0.9993739889922224,
3
+ "eval_loss": 1.4191993474960327,
4
+ "eval_runtime": 1934.5604,
5
+ "eval_samples": 23109,
6
+ "eval_samples_per_second": 7.315,
7
+ "eval_steps_per_second": 7.315
8
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
special_tokens_map.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<|endoftext|>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "<|endoftext|>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": "<|endoftext|>",
17
+ "unk_token": {
18
+ "content": "<|endoftext|>",
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 +1,326 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "50256": {
5
+ "content": "<|endoftext|>",
6
+ "lstrip": false,
7
+ "normalized": false,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "50257": {
13
+ "content": " ",
14
+ "lstrip": false,
15
+ "normalized": true,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": false
19
+ },
20
+ "50258": {
21
+ "content": " ",
22
+ "lstrip": false,
23
+ "normalized": true,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": false
27
+ },
28
+ "50259": {
29
+ "content": " ",
30
+ "lstrip": false,
31
+ "normalized": true,
32
+ "rstrip": false,
33
+ "single_word": false,
34
+ "special": false
35
+ },
36
+ "50260": {
37
+ "content": " ",
38
+ "lstrip": false,
39
+ "normalized": true,
40
+ "rstrip": false,
41
+ "single_word": false,
42
+ "special": false
43
+ },
44
+ "50261": {
45
+ "content": " ",
46
+ "lstrip": false,
47
+ "normalized": true,
48
+ "rstrip": false,
49
+ "single_word": false,
50
+ "special": false
51
+ },
52
+ "50262": {
53
+ "content": " ",
54
+ "lstrip": false,
55
+ "normalized": true,
56
+ "rstrip": false,
57
+ "single_word": false,
58
+ "special": false
59
+ },
60
+ "50263": {
61
+ "content": " ",
62
+ "lstrip": false,
63
+ "normalized": true,
64
+ "rstrip": false,
65
+ "single_word": false,
66
+ "special": false
67
+ },
68
+ "50264": {
69
+ "content": " ",
70
+ "lstrip": false,
71
+ "normalized": true,
72
+ "rstrip": false,
73
+ "single_word": false,
74
+ "special": false
75
+ },
76
+ "50265": {
77
+ "content": " ",
78
+ "lstrip": false,
79
+ "normalized": true,
80
+ "rstrip": false,
81
+ "single_word": false,
82
+ "special": false
83
+ },
84
+ "50266": {
85
+ "content": " ",
86
+ "lstrip": false,
87
+ "normalized": true,
88
+ "rstrip": false,
89
+ "single_word": false,
90
+ "special": false
91
+ },
92
+ "50267": {
93
+ "content": " ",
94
+ "lstrip": false,
95
+ "normalized": true,
96
+ "rstrip": false,
97
+ "single_word": false,
98
+ "special": false
99
+ },
100
+ "50268": {
101
+ "content": " ",
102
+ "lstrip": false,
103
+ "normalized": true,
104
+ "rstrip": false,
105
+ "single_word": false,
106
+ "special": false
107
+ },
108
+ "50269": {
109
+ "content": " ",
110
+ "lstrip": false,
111
+ "normalized": true,
112
+ "rstrip": false,
113
+ "single_word": false,
114
+ "special": false
115
+ },
116
+ "50270": {
117
+ "content": " ",
118
+ "lstrip": false,
119
+ "normalized": true,
120
+ "rstrip": false,
121
+ "single_word": false,
122
+ "special": false
123
+ },
124
+ "50271": {
125
+ "content": " ",
126
+ "lstrip": false,
127
+ "normalized": true,
128
+ "rstrip": false,
129
+ "single_word": false,
130
+ "special": false
131
+ },
132
+ "50272": {
133
+ "content": " ",
134
+ "lstrip": false,
135
+ "normalized": true,
136
+ "rstrip": false,
137
+ "single_word": false,
138
+ "special": false
139
+ },
140
+ "50273": {
141
+ "content": " ",
142
+ "lstrip": false,
143
+ "normalized": true,
144
+ "rstrip": false,
145
+ "single_word": false,
146
+ "special": false
147
+ },
148
+ "50274": {
149
+ "content": " ",
150
+ "lstrip": false,
151
+ "normalized": true,
152
+ "rstrip": false,
153
+ "single_word": false,
154
+ "special": false
155
+ },
156
+ "50275": {
157
+ "content": " ",
158
+ "lstrip": false,
159
+ "normalized": true,
160
+ "rstrip": false,
161
+ "single_word": false,
162
+ "special": false
163
+ },
164
+ "50276": {
165
+ "content": " ",
166
+ "lstrip": false,
167
+ "normalized": true,
168
+ "rstrip": false,
169
+ "single_word": false,
170
+ "special": false
171
+ },
172
+ "50277": {
173
+ "content": " ",
174
+ "lstrip": false,
175
+ "normalized": true,
176
+ "rstrip": false,
177
+ "single_word": false,
178
+ "special": false
179
+ },
180
+ "50278": {
181
+ "content": " ",
182
+ "lstrip": false,
183
+ "normalized": true,
184
+ "rstrip": false,
185
+ "single_word": false,
186
+ "special": false
187
+ },
188
+ "50279": {
189
+ "content": " ",
190
+ "lstrip": false,
191
+ "normalized": true,
192
+ "rstrip": false,
193
+ "single_word": false,
194
+ "special": false
195
+ },
196
+ "50280": {
197
+ "content": " ",
198
+ "lstrip": false,
199
+ "normalized": true,
200
+ "rstrip": false,
201
+ "single_word": false,
202
+ "special": false
203
+ },
204
+ "50281": {
205
+ "content": " ",
206
+ "lstrip": false,
207
+ "normalized": true,
208
+ "rstrip": false,
209
+ "single_word": false,
210
+ "special": false
211
+ },
212
+ "50282": {
213
+ "content": " ",
214
+ "lstrip": false,
215
+ "normalized": true,
216
+ "rstrip": false,
217
+ "single_word": false,
218
+ "special": false
219
+ },
220
+ "50283": {
221
+ "content": " ",
222
+ "lstrip": false,
223
+ "normalized": true,
224
+ "rstrip": false,
225
+ "single_word": false,
226
+ "special": false
227
+ },
228
+ "50284": {
229
+ "content": " ",
230
+ "lstrip": false,
231
+ "normalized": true,
232
+ "rstrip": false,
233
+ "single_word": false,
234
+ "special": false
235
+ },
236
+ "50285": {
237
+ "content": " ",
238
+ "lstrip": false,
239
+ "normalized": true,
240
+ "rstrip": false,
241
+ "single_word": false,
242
+ "special": false
243
+ },
244
+ "50286": {
245
+ "content": " ",
246
+ "lstrip": false,
247
+ "normalized": true,
248
+ "rstrip": false,
249
+ "single_word": false,
250
+ "special": false
251
+ },
252
+ "50287": {
253
+ "content": "\t\t\t\t\t\t\t\t\t",
254
+ "lstrip": false,
255
+ "normalized": true,
256
+ "rstrip": false,
257
+ "single_word": false,
258
+ "special": false
259
+ },
260
+ "50288": {
261
+ "content": "\t\t\t\t\t\t\t\t",
262
+ "lstrip": false,
263
+ "normalized": true,
264
+ "rstrip": false,
265
+ "single_word": false,
266
+ "special": false
267
+ },
268
+ "50289": {
269
+ "content": "\t\t\t\t\t\t\t",
270
+ "lstrip": false,
271
+ "normalized": true,
272
+ "rstrip": false,
273
+ "single_word": false,
274
+ "special": false
275
+ },
276
+ "50290": {
277
+ "content": "\t\t\t\t\t\t",
278
+ "lstrip": false,
279
+ "normalized": true,
280
+ "rstrip": false,
281
+ "single_word": false,
282
+ "special": false
283
+ },
284
+ "50291": {
285
+ "content": "\t\t\t\t\t",
286
+ "lstrip": false,
287
+ "normalized": true,
288
+ "rstrip": false,
289
+ "single_word": false,
290
+ "special": false
291
+ },
292
+ "50292": {
293
+ "content": "\t\t\t\t",
294
+ "lstrip": false,
295
+ "normalized": true,
296
+ "rstrip": false,
297
+ "single_word": false,
298
+ "special": false
299
+ },
300
+ "50293": {
301
+ "content": "\t\t\t",
302
+ "lstrip": false,
303
+ "normalized": true,
304
+ "rstrip": false,
305
+ "single_word": false,
306
+ "special": false
307
+ },
308
+ "50294": {
309
+ "content": "\t\t",
310
+ "lstrip": false,
311
+ "normalized": true,
312
+ "rstrip": false,
313
+ "single_word": false,
314
+ "special": false
315
+ }
316
+ },
317
+ "bos_token": "<|endoftext|>",
318
+ "chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
319
+ "clean_up_tokenization_spaces": true,
320
+ "eos_token": "<|endoftext|>",
321
+ "model_max_length": 2048,
322
+ "pad_token": "<|endoftext|>",
323
+ "return_token_type_ids": false,
324
+ "tokenizer_class": "CodeGenTokenizer",
325
+ "unk_token": "<|endoftext|>"
326
+ }
train_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 0.9993739889922224,
3
+ "total_flos": 3.232184148701479e+18,
4
+ "train_loss": 0.016414370117774753,
5
+ "train_runtime": 2971.8566,
6
+ "train_samples": 1001538,
7
+ "train_samples_per_second": 67.189,
8
+ "train_steps_per_second": 0.525
9
+ }
trainer_state.json ADDED
@@ -0,0 +1,2222 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.9993739889922224,
5
+ "eval_steps": 500,
6
+ "global_step": 1559,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0006410352719642222,
13
+ "grad_norm": 0.10498046875,
14
+ "learning_rate": 1.282051282051282e-06,
15
+ "loss": 1.8493,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.003205176359821111,
20
+ "grad_norm": 0.1103515625,
21
+ "learning_rate": 6.41025641025641e-06,
22
+ "loss": 1.8865,
23
+ "step": 5
24
+ },
25
+ {
26
+ "epoch": 0.006410352719642222,
27
+ "grad_norm": 0.1005859375,
28
+ "learning_rate": 1.282051282051282e-05,
29
+ "loss": 1.8383,
30
+ "step": 10
31
+ },
32
+ {
33
+ "epoch": 0.009615529079463333,
34
+ "grad_norm": 0.10693359375,
35
+ "learning_rate": 1.923076923076923e-05,
36
+ "loss": 1.8385,
37
+ "step": 15
38
+ },
39
+ {
40
+ "epoch": 0.012820705439284444,
41
+ "grad_norm": 0.1103515625,
42
+ "learning_rate": 2.564102564102564e-05,
43
+ "loss": 1.8346,
44
+ "step": 20
45
+ },
46
+ {
47
+ "epoch": 0.016025881799105555,
48
+ "grad_norm": 0.1298828125,
49
+ "learning_rate": 3.205128205128206e-05,
50
+ "loss": 1.8127,
51
+ "step": 25
52
+ },
53
+ {
54
+ "epoch": 0.019231058158926666,
55
+ "grad_norm": 0.1435546875,
56
+ "learning_rate": 3.846153846153846e-05,
57
+ "loss": 1.7981,
58
+ "step": 30
59
+ },
60
+ {
61
+ "epoch": 0.022436234518747777,
62
+ "grad_norm": 0.1494140625,
63
+ "learning_rate": 4.4871794871794874e-05,
64
+ "loss": 1.7907,
65
+ "step": 35
66
+ },
67
+ {
68
+ "epoch": 0.025641410878568888,
69
+ "grad_norm": 0.1416015625,
70
+ "learning_rate": 5.128205128205128e-05,
71
+ "loss": 1.7468,
72
+ "step": 40
73
+ },
74
+ {
75
+ "epoch": 0.02884658723839,
76
+ "grad_norm": 0.1328125,
77
+ "learning_rate": 5.769230769230769e-05,
78
+ "loss": 1.7105,
79
+ "step": 45
80
+ },
81
+ {
82
+ "epoch": 0.03205176359821111,
83
+ "grad_norm": 0.126953125,
84
+ "learning_rate": 6.410256410256412e-05,
85
+ "loss": 1.6887,
86
+ "step": 50
87
+ },
88
+ {
89
+ "epoch": 0.035256939958032224,
90
+ "grad_norm": 0.107421875,
91
+ "learning_rate": 7.051282051282052e-05,
92
+ "loss": 1.6757,
93
+ "step": 55
94
+ },
95
+ {
96
+ "epoch": 0.03846211631785333,
97
+ "grad_norm": 0.10009765625,
98
+ "learning_rate": 7.692307692307693e-05,
99
+ "loss": 1.6736,
100
+ "step": 60
101
+ },
102
+ {
103
+ "epoch": 0.041667292677674446,
104
+ "grad_norm": 0.078125,
105
+ "learning_rate": 8.333333333333334e-05,
106
+ "loss": 1.6252,
107
+ "step": 65
108
+ },
109
+ {
110
+ "epoch": 0.04487246903749555,
111
+ "grad_norm": 0.06201171875,
112
+ "learning_rate": 8.974358974358975e-05,
113
+ "loss": 1.5655,
114
+ "step": 70
115
+ },
116
+ {
117
+ "epoch": 0.04807764539731667,
118
+ "grad_norm": 0.049072265625,
119
+ "learning_rate": 9.615384615384617e-05,
120
+ "loss": 1.5646,
121
+ "step": 75
122
+ },
123
+ {
124
+ "epoch": 0.051282821757137775,
125
+ "grad_norm": 0.04345703125,
126
+ "learning_rate": 0.00010256410256410256,
127
+ "loss": 1.5861,
128
+ "step": 80
129
+ },
130
+ {
131
+ "epoch": 0.05448799811695889,
132
+ "grad_norm": 0.039794921875,
133
+ "learning_rate": 0.00010897435897435896,
134
+ "loss": 1.5379,
135
+ "step": 85
136
+ },
137
+ {
138
+ "epoch": 0.05769317447678,
139
+ "grad_norm": 0.0400390625,
140
+ "learning_rate": 0.00011538461538461538,
141
+ "loss": 1.5557,
142
+ "step": 90
143
+ },
144
+ {
145
+ "epoch": 0.06089835083660111,
146
+ "grad_norm": 0.037841796875,
147
+ "learning_rate": 0.00012179487179487179,
148
+ "loss": 1.5102,
149
+ "step": 95
150
+ },
151
+ {
152
+ "epoch": 0.06410352719642222,
153
+ "grad_norm": 0.038330078125,
154
+ "learning_rate": 0.00012820512820512823,
155
+ "loss": 1.5048,
156
+ "step": 100
157
+ },
158
+ {
159
+ "epoch": 0.06730870355624333,
160
+ "grad_norm": 0.033935546875,
161
+ "learning_rate": 0.00013461538461538464,
162
+ "loss": 1.5127,
163
+ "step": 105
164
+ },
165
+ {
166
+ "epoch": 0.07051387991606445,
167
+ "grad_norm": 0.03173828125,
168
+ "learning_rate": 0.00014102564102564104,
169
+ "loss": 1.5161,
170
+ "step": 110
171
+ },
172
+ {
173
+ "epoch": 0.07371905627588556,
174
+ "grad_norm": 0.0301513671875,
175
+ "learning_rate": 0.00014743589743589745,
176
+ "loss": 1.4948,
177
+ "step": 115
178
+ },
179
+ {
180
+ "epoch": 0.07692423263570666,
181
+ "grad_norm": 0.03125,
182
+ "learning_rate": 0.00015384615384615385,
183
+ "loss": 1.4584,
184
+ "step": 120
185
+ },
186
+ {
187
+ "epoch": 0.08012940899552777,
188
+ "grad_norm": 0.029052734375,
189
+ "learning_rate": 0.00016025641025641028,
190
+ "loss": 1.4704,
191
+ "step": 125
192
+ },
193
+ {
194
+ "epoch": 0.08333458535534889,
195
+ "grad_norm": 0.0279541015625,
196
+ "learning_rate": 0.0001666666666666667,
197
+ "loss": 1.4411,
198
+ "step": 130
199
+ },
200
+ {
201
+ "epoch": 0.08653976171517,
202
+ "grad_norm": 0.0263671875,
203
+ "learning_rate": 0.0001730769230769231,
204
+ "loss": 1.4723,
205
+ "step": 135
206
+ },
207
+ {
208
+ "epoch": 0.0897449380749911,
209
+ "grad_norm": 0.02685546875,
210
+ "learning_rate": 0.0001794871794871795,
211
+ "loss": 1.4505,
212
+ "step": 140
213
+ },
214
+ {
215
+ "epoch": 0.09295011443481223,
216
+ "grad_norm": 0.0291748046875,
217
+ "learning_rate": 0.0001858974358974359,
218
+ "loss": 1.4367,
219
+ "step": 145
220
+ },
221
+ {
222
+ "epoch": 0.09615529079463334,
223
+ "grad_norm": 0.0262451171875,
224
+ "learning_rate": 0.00019230769230769233,
225
+ "loss": 1.4291,
226
+ "step": 150
227
+ },
228
+ {
229
+ "epoch": 0.09936046715445444,
230
+ "grad_norm": 0.0390625,
231
+ "learning_rate": 0.00019871794871794874,
232
+ "loss": 1.4075,
233
+ "step": 155
234
+ },
235
+ {
236
+ "epoch": 0.10256564351427555,
237
+ "grad_norm": 0.03857421875,
238
+ "learning_rate": 0.00019999598882613538,
239
+ "loss": 1.4203,
240
+ "step": 160
241
+ },
242
+ {
243
+ "epoch": 0.10577081987409667,
244
+ "grad_norm": 0.029541015625,
245
+ "learning_rate": 0.00019997969398381457,
246
+ "loss": 1.4188,
247
+ "step": 165
248
+ },
249
+ {
250
+ "epoch": 0.10897599623391778,
251
+ "grad_norm": 0.025146484375,
252
+ "learning_rate": 0.00019995086681563726,
253
+ "loss": 1.4512,
254
+ "step": 170
255
+ },
256
+ {
257
+ "epoch": 0.11218117259373889,
258
+ "grad_norm": 0.025146484375,
259
+ "learning_rate": 0.0001999095109350519,
260
+ "loss": 1.417,
261
+ "step": 175
262
+ },
263
+ {
264
+ "epoch": 0.11538634895356,
265
+ "grad_norm": 0.02734375,
266
+ "learning_rate": 0.0001998556315259648,
267
+ "loss": 1.4309,
268
+ "step": 180
269
+ },
270
+ {
271
+ "epoch": 0.11859152531338112,
272
+ "grad_norm": 0.0255126953125,
273
+ "learning_rate": 0.00019978923534209054,
274
+ "loss": 1.4201,
275
+ "step": 185
276
+ },
277
+ {
278
+ "epoch": 0.12179670167320222,
279
+ "grad_norm": 0.0286865234375,
280
+ "learning_rate": 0.00019971033070610518,
281
+ "loss": 1.4187,
282
+ "step": 190
283
+ },
284
+ {
285
+ "epoch": 0.12500187803302334,
286
+ "grad_norm": 0.030517578125,
287
+ "learning_rate": 0.0001996189275086033,
288
+ "loss": 1.4153,
289
+ "step": 195
290
+ },
291
+ {
292
+ "epoch": 0.12820705439284444,
293
+ "grad_norm": 0.0272216796875,
294
+ "learning_rate": 0.00019951503720685784,
295
+ "loss": 1.4279,
296
+ "step": 200
297
+ },
298
+ {
299
+ "epoch": 0.13141223075266556,
300
+ "grad_norm": 0.0267333984375,
301
+ "learning_rate": 0.0001993986728233844,
302
+ "loss": 1.4052,
303
+ "step": 205
304
+ },
305
+ {
306
+ "epoch": 0.13461740711248665,
307
+ "grad_norm": 0.0264892578125,
308
+ "learning_rate": 0.0001992698489443085,
309
+ "loss": 1.3943,
310
+ "step": 210
311
+ },
312
+ {
313
+ "epoch": 0.13782258347230777,
314
+ "grad_norm": 0.032470703125,
315
+ "learning_rate": 0.0001991285817175375,
316
+ "loss": 1.3931,
317
+ "step": 215
318
+ },
319
+ {
320
+ "epoch": 0.1410277598321289,
321
+ "grad_norm": 0.0291748046875,
322
+ "learning_rate": 0.0001989748888507363,
323
+ "loss": 1.3931,
324
+ "step": 220
325
+ },
326
+ {
327
+ "epoch": 0.14423293619195,
328
+ "grad_norm": 0.03125,
329
+ "learning_rate": 0.00019880878960910772,
330
+ "loss": 1.3899,
331
+ "step": 225
332
+ },
333
+ {
334
+ "epoch": 0.1474381125517711,
335
+ "grad_norm": 0.0322265625,
336
+ "learning_rate": 0.0001986303048129778,
337
+ "loss": 1.4305,
338
+ "step": 230
339
+ },
340
+ {
341
+ "epoch": 0.15064328891159223,
342
+ "grad_norm": 0.033203125,
343
+ "learning_rate": 0.0001984394568351858,
344
+ "loss": 1.4028,
345
+ "step": 235
346
+ },
347
+ {
348
+ "epoch": 0.15384846527141333,
349
+ "grad_norm": 0.03369140625,
350
+ "learning_rate": 0.00019823626959827997,
351
+ "loss": 1.3758,
352
+ "step": 240
353
+ },
354
+ {
355
+ "epoch": 0.15705364163123445,
356
+ "grad_norm": 0.041015625,
357
+ "learning_rate": 0.0001980207685715186,
358
+ "loss": 1.407,
359
+ "step": 245
360
+ },
361
+ {
362
+ "epoch": 0.16025881799105554,
363
+ "grad_norm": 0.034912109375,
364
+ "learning_rate": 0.00019779298076767795,
365
+ "loss": 1.3923,
366
+ "step": 250
367
+ },
368
+ {
369
+ "epoch": 0.16346399435087666,
370
+ "grad_norm": 0.047119140625,
371
+ "learning_rate": 0.00019755293473966572,
372
+ "loss": 1.3967,
373
+ "step": 255
374
+ },
375
+ {
376
+ "epoch": 0.16666917071069778,
377
+ "grad_norm": 0.043701171875,
378
+ "learning_rate": 0.00019730066057694235,
379
+ "loss": 1.4007,
380
+ "step": 260
381
+ },
382
+ {
383
+ "epoch": 0.16987434707051888,
384
+ "grad_norm": 0.050048828125,
385
+ "learning_rate": 0.00019703618990174918,
386
+ "loss": 1.3978,
387
+ "step": 265
388
+ },
389
+ {
390
+ "epoch": 0.17307952343034,
391
+ "grad_norm": 0.048095703125,
392
+ "learning_rate": 0.00019675955586514468,
393
+ "loss": 1.3744,
394
+ "step": 270
395
+ },
396
+ {
397
+ "epoch": 0.17628469979016112,
398
+ "grad_norm": 0.033935546875,
399
+ "learning_rate": 0.00019647079314284897,
400
+ "loss": 1.3929,
401
+ "step": 275
402
+ },
403
+ {
404
+ "epoch": 0.1794898761499822,
405
+ "grad_norm": 0.033935546875,
406
+ "learning_rate": 0.0001961699379308974,
407
+ "loss": 1.4031,
408
+ "step": 280
409
+ },
410
+ {
411
+ "epoch": 0.18269505250980334,
412
+ "grad_norm": 0.04052734375,
413
+ "learning_rate": 0.0001958570279411032,
414
+ "loss": 1.3813,
415
+ "step": 285
416
+ },
417
+ {
418
+ "epoch": 0.18590022886962446,
419
+ "grad_norm": 0.052734375,
420
+ "learning_rate": 0.00019553210239633056,
421
+ "loss": 1.3956,
422
+ "step": 290
423
+ },
424
+ {
425
+ "epoch": 0.18910540522944555,
426
+ "grad_norm": 0.048095703125,
427
+ "learning_rate": 0.00019519520202557797,
428
+ "loss": 1.3988,
429
+ "step": 295
430
+ },
431
+ {
432
+ "epoch": 0.19231058158926667,
433
+ "grad_norm": 0.037109375,
434
+ "learning_rate": 0.00019484636905887296,
435
+ "loss": 1.3925,
436
+ "step": 300
437
+ },
438
+ {
439
+ "epoch": 0.19551575794908777,
440
+ "grad_norm": 0.036865234375,
441
+ "learning_rate": 0.00019448564722197853,
442
+ "loss": 1.376,
443
+ "step": 305
444
+ },
445
+ {
446
+ "epoch": 0.1987209343089089,
447
+ "grad_norm": 0.04052734375,
448
+ "learning_rate": 0.00019411308173091228,
449
+ "loss": 1.3974,
450
+ "step": 310
451
+ },
452
+ {
453
+ "epoch": 0.20192611066873,
454
+ "grad_norm": 0.052490234375,
455
+ "learning_rate": 0.0001937287192862787,
456
+ "loss": 1.3765,
457
+ "step": 315
458
+ },
459
+ {
460
+ "epoch": 0.2051312870285511,
461
+ "grad_norm": 0.059326171875,
462
+ "learning_rate": 0.00019333260806741502,
463
+ "loss": 1.3769,
464
+ "step": 320
465
+ },
466
+ {
467
+ "epoch": 0.20833646338837222,
468
+ "grad_norm": 0.052490234375,
469
+ "learning_rate": 0.00019292479772635237,
470
+ "loss": 1.3792,
471
+ "step": 325
472
+ },
473
+ {
474
+ "epoch": 0.21154163974819334,
475
+ "grad_norm": 0.048583984375,
476
+ "learning_rate": 0.00019250533938159166,
477
+ "loss": 1.3968,
478
+ "step": 330
479
+ },
480
+ {
481
+ "epoch": 0.21474681610801444,
482
+ "grad_norm": 0.040283203125,
483
+ "learning_rate": 0.00019207428561169608,
484
+ "loss": 1.38,
485
+ "step": 335
486
+ },
487
+ {
488
+ "epoch": 0.21795199246783556,
489
+ "grad_norm": 0.043701171875,
490
+ "learning_rate": 0.0001916316904487005,
491
+ "loss": 1.3737,
492
+ "step": 340
493
+ },
494
+ {
495
+ "epoch": 0.22115716882765665,
496
+ "grad_norm": 0.03759765625,
497
+ "learning_rate": 0.00019117760937133844,
498
+ "loss": 1.4065,
499
+ "step": 345
500
+ },
501
+ {
502
+ "epoch": 0.22436234518747777,
503
+ "grad_norm": 0.038330078125,
504
+ "learning_rate": 0.00019071209929808806,
505
+ "loss": 1.4012,
506
+ "step": 350
507
+ },
508
+ {
509
+ "epoch": 0.2275675215472989,
510
+ "grad_norm": 0.041748046875,
511
+ "learning_rate": 0.00019023521858003742,
512
+ "loss": 1.3941,
513
+ "step": 355
514
+ },
515
+ {
516
+ "epoch": 0.23077269790712,
517
+ "grad_norm": 0.037841796875,
518
+ "learning_rate": 0.00018974702699357029,
519
+ "loss": 1.4072,
520
+ "step": 360
521
+ },
522
+ {
523
+ "epoch": 0.2339778742669411,
524
+ "grad_norm": 0.03759765625,
525
+ "learning_rate": 0.00018924758573287315,
526
+ "loss": 1.3531,
527
+ "step": 365
528
+ },
529
+ {
530
+ "epoch": 0.23718305062676223,
531
+ "grad_norm": 0.03662109375,
532
+ "learning_rate": 0.00018873695740226468,
533
+ "loss": 1.3682,
534
+ "step": 370
535
+ },
536
+ {
537
+ "epoch": 0.24038822698658333,
538
+ "grad_norm": 0.047607421875,
539
+ "learning_rate": 0.0001882152060083484,
540
+ "loss": 1.3796,
541
+ "step": 375
542
+ },
543
+ {
544
+ "epoch": 0.24359340334640445,
545
+ "grad_norm": 0.041015625,
546
+ "learning_rate": 0.00018768239695198945,
547
+ "loss": 1.3835,
548
+ "step": 380
549
+ },
550
+ {
551
+ "epoch": 0.24679857970622554,
552
+ "grad_norm": 0.04541015625,
553
+ "learning_rate": 0.0001871385970201168,
554
+ "loss": 1.3678,
555
+ "step": 385
556
+ },
557
+ {
558
+ "epoch": 0.2500037560660467,
559
+ "grad_norm": 0.04345703125,
560
+ "learning_rate": 0.00018658387437735135,
561
+ "loss": 1.3778,
562
+ "step": 390
563
+ },
564
+ {
565
+ "epoch": 0.2532089324258678,
566
+ "grad_norm": 0.06396484375,
567
+ "learning_rate": 0.00018601829855746185,
568
+ "loss": 1.3811,
569
+ "step": 395
570
+ },
571
+ {
572
+ "epoch": 0.2564141087856889,
573
+ "grad_norm": 0.057373046875,
574
+ "learning_rate": 0.00018544194045464886,
575
+ "loss": 1.3851,
576
+ "step": 400
577
+ },
578
+ {
579
+ "epoch": 0.25961928514551,
580
+ "grad_norm": 0.0458984375,
581
+ "learning_rate": 0.0001848548723146581,
582
+ "loss": 1.3865,
583
+ "step": 405
584
+ },
585
+ {
586
+ "epoch": 0.2628244615053311,
587
+ "grad_norm": 0.047119140625,
588
+ "learning_rate": 0.00018425716772572473,
589
+ "loss": 1.3638,
590
+ "step": 410
591
+ },
592
+ {
593
+ "epoch": 0.2660296378651522,
594
+ "grad_norm": 0.04443359375,
595
+ "learning_rate": 0.00018364890160934904,
596
+ "loss": 1.3918,
597
+ "step": 415
598
+ },
599
+ {
600
+ "epoch": 0.2692348142249733,
601
+ "grad_norm": 0.042236328125,
602
+ "learning_rate": 0.00018303015021090525,
603
+ "loss": 1.3794,
604
+ "step": 420
605
+ },
606
+ {
607
+ "epoch": 0.27243999058479446,
608
+ "grad_norm": 0.06005859375,
609
+ "learning_rate": 0.00018240099109008412,
610
+ "loss": 1.3836,
611
+ "step": 425
612
+ },
613
+ {
614
+ "epoch": 0.27564516694461555,
615
+ "grad_norm": 0.05419921875,
616
+ "learning_rate": 0.000181761503111171,
617
+ "loss": 1.3676,
618
+ "step": 430
619
+ },
620
+ {
621
+ "epoch": 0.27885034330443664,
622
+ "grad_norm": 0.04443359375,
623
+ "learning_rate": 0.0001811117664331604,
624
+ "loss": 1.3513,
625
+ "step": 435
626
+ },
627
+ {
628
+ "epoch": 0.2820555196642578,
629
+ "grad_norm": 0.047607421875,
630
+ "learning_rate": 0.00018045186249970784,
631
+ "loss": 1.3602,
632
+ "step": 440
633
+ },
634
+ {
635
+ "epoch": 0.2852606960240789,
636
+ "grad_norm": 0.043212890625,
637
+ "learning_rate": 0.00017978187402892148,
638
+ "loss": 1.3468,
639
+ "step": 445
640
+ },
641
+ {
642
+ "epoch": 0.2884658723839,
643
+ "grad_norm": 0.05078125,
644
+ "learning_rate": 0.00017910188500299304,
645
+ "loss": 1.3651,
646
+ "step": 450
647
+ },
648
+ {
649
+ "epoch": 0.29167104874372113,
650
+ "grad_norm": 0.04296875,
651
+ "learning_rate": 0.00017841198065767107,
652
+ "loss": 1.3763,
653
+ "step": 455
654
+ },
655
+ {
656
+ "epoch": 0.2948762251035422,
657
+ "grad_norm": 0.044921875,
658
+ "learning_rate": 0.00017771224747157652,
659
+ "loss": 1.3597,
660
+ "step": 460
661
+ },
662
+ {
663
+ "epoch": 0.2980814014633633,
664
+ "grad_norm": 0.0654296875,
665
+ "learning_rate": 0.00017700277315536305,
666
+ "loss": 1.3558,
667
+ "step": 465
668
+ },
669
+ {
670
+ "epoch": 0.30128657782318446,
671
+ "grad_norm": 0.052978515625,
672
+ "learning_rate": 0.00017628364664072218,
673
+ "loss": 1.3534,
674
+ "step": 470
675
+ },
676
+ {
677
+ "epoch": 0.30449175418300556,
678
+ "grad_norm": 0.04248046875,
679
+ "learning_rate": 0.00017555495806923635,
680
+ "loss": 1.3525,
681
+ "step": 475
682
+ },
683
+ {
684
+ "epoch": 0.30769693054282665,
685
+ "grad_norm": 0.044189453125,
686
+ "learning_rate": 0.00017481679878107926,
687
+ "loss": 1.3715,
688
+ "step": 480
689
+ },
690
+ {
691
+ "epoch": 0.3109021069026478,
692
+ "grad_norm": 0.058837890625,
693
+ "learning_rate": 0.00017406926130356692,
694
+ "loss": 1.3689,
695
+ "step": 485
696
+ },
697
+ {
698
+ "epoch": 0.3141072832624689,
699
+ "grad_norm": 0.095703125,
700
+ "learning_rate": 0.00017331243933955918,
701
+ "loss": 1.3686,
702
+ "step": 490
703
+ },
704
+ {
705
+ "epoch": 0.31731245962229,
706
+ "grad_norm": 0.059326171875,
707
+ "learning_rate": 0.00017254642775571438,
708
+ "loss": 1.3784,
709
+ "step": 495
710
+ },
711
+ {
712
+ "epoch": 0.3205176359821111,
713
+ "grad_norm": 0.07373046875,
714
+ "learning_rate": 0.00017177132257059787,
715
+ "loss": 1.3488,
716
+ "step": 500
717
+ },
718
+ {
719
+ "epoch": 0.32372281234193223,
720
+ "grad_norm": 0.0439453125,
721
+ "learning_rate": 0.00017098722094264617,
722
+ "loss": 1.3789,
723
+ "step": 505
724
+ },
725
+ {
726
+ "epoch": 0.3269279887017533,
727
+ "grad_norm": 0.052490234375,
728
+ "learning_rate": 0.00017019422115798833,
729
+ "loss": 1.3414,
730
+ "step": 510
731
+ },
732
+ {
733
+ "epoch": 0.3301331650615744,
734
+ "grad_norm": 0.0458984375,
735
+ "learning_rate": 0.0001693924226181259,
736
+ "loss": 1.3667,
737
+ "step": 515
738
+ },
739
+ {
740
+ "epoch": 0.33333834142139557,
741
+ "grad_norm": 0.05322265625,
742
+ "learning_rate": 0.00016858192582747304,
743
+ "loss": 1.3749,
744
+ "step": 520
745
+ },
746
+ {
747
+ "epoch": 0.33654351778121666,
748
+ "grad_norm": 0.0634765625,
749
+ "learning_rate": 0.00016776283238075851,
750
+ "loss": 1.3929,
751
+ "step": 525
752
+ },
753
+ {
754
+ "epoch": 0.33974869414103775,
755
+ "grad_norm": 0.050537109375,
756
+ "learning_rate": 0.00016693524495029068,
757
+ "loss": 1.3527,
758
+ "step": 530
759
+ },
760
+ {
761
+ "epoch": 0.3429538705008589,
762
+ "grad_norm": 0.059814453125,
763
+ "learning_rate": 0.00016609926727308806,
764
+ "loss": 1.3577,
765
+ "step": 535
766
+ },
767
+ {
768
+ "epoch": 0.34615904686068,
769
+ "grad_norm": 0.07861328125,
770
+ "learning_rate": 0.00016525500413787554,
771
+ "loss": 1.3639,
772
+ "step": 540
773
+ },
774
+ {
775
+ "epoch": 0.3493642232205011,
776
+ "grad_norm": 0.0595703125,
777
+ "learning_rate": 0.00016440256137194965,
778
+ "loss": 1.3608,
779
+ "step": 545
780
+ },
781
+ {
782
+ "epoch": 0.35256939958032224,
783
+ "grad_norm": 0.052978515625,
784
+ "learning_rate": 0.0001635420458279131,
785
+ "loss": 1.3324,
786
+ "step": 550
787
+ },
788
+ {
789
+ "epoch": 0.35577457594014333,
790
+ "grad_norm": 0.062255859375,
791
+ "learning_rate": 0.0001626735653702809,
792
+ "loss": 1.3283,
793
+ "step": 555
794
+ },
795
+ {
796
+ "epoch": 0.3589797522999644,
797
+ "grad_norm": 0.04931640625,
798
+ "learning_rate": 0.00016179722886195967,
799
+ "loss": 1.3287,
800
+ "step": 560
801
+ },
802
+ {
803
+ "epoch": 0.3621849286597856,
804
+ "grad_norm": 0.0703125,
805
+ "learning_rate": 0.00016091314615060195,
806
+ "loss": 1.3799,
807
+ "step": 565
808
+ },
809
+ {
810
+ "epoch": 0.36539010501960667,
811
+ "grad_norm": 0.051025390625,
812
+ "learning_rate": 0.00016002142805483685,
813
+ "loss": 1.3399,
814
+ "step": 570
815
+ },
816
+ {
817
+ "epoch": 0.36859528137942776,
818
+ "grad_norm": 0.05908203125,
819
+ "learning_rate": 0.00015912218635037896,
820
+ "loss": 1.3698,
821
+ "step": 575
822
+ },
823
+ {
824
+ "epoch": 0.3718004577392489,
825
+ "grad_norm": 0.05078125,
826
+ "learning_rate": 0.0001582155337560177,
827
+ "loss": 1.3378,
828
+ "step": 580
829
+ },
830
+ {
831
+ "epoch": 0.37500563409907,
832
+ "grad_norm": 0.051025390625,
833
+ "learning_rate": 0.00015730158391948784,
834
+ "loss": 1.337,
835
+ "step": 585
836
+ },
837
+ {
838
+ "epoch": 0.3782108104588911,
839
+ "grad_norm": 0.0498046875,
840
+ "learning_rate": 0.0001563804514032242,
841
+ "loss": 1.3527,
842
+ "step": 590
843
+ },
844
+ {
845
+ "epoch": 0.3814159868187122,
846
+ "grad_norm": 0.052734375,
847
+ "learning_rate": 0.0001554522516700011,
848
+ "loss": 1.3583,
849
+ "step": 595
850
+ },
851
+ {
852
+ "epoch": 0.38462116317853334,
853
+ "grad_norm": 0.06201171875,
854
+ "learning_rate": 0.00015451710106845955,
855
+ "loss": 1.3421,
856
+ "step": 600
857
+ },
858
+ {
859
+ "epoch": 0.38782633953835444,
860
+ "grad_norm": 0.050537109375,
861
+ "learning_rate": 0.0001535751168185228,
862
+ "loss": 1.3577,
863
+ "step": 605
864
+ },
865
+ {
866
+ "epoch": 0.39103151589817553,
867
+ "grad_norm": 0.05517578125,
868
+ "learning_rate": 0.00015262641699670328,
869
+ "loss": 1.3706,
870
+ "step": 610
871
+ },
872
+ {
873
+ "epoch": 0.3942366922579967,
874
+ "grad_norm": 0.054931640625,
875
+ "learning_rate": 0.0001516711205213016,
876
+ "loss": 1.3439,
877
+ "step": 615
878
+ },
879
+ {
880
+ "epoch": 0.3974418686178178,
881
+ "grad_norm": 0.0478515625,
882
+ "learning_rate": 0.00015070934713750042,
883
+ "loss": 1.3353,
884
+ "step": 620
885
+ },
886
+ {
887
+ "epoch": 0.40064704497763887,
888
+ "grad_norm": 0.048583984375,
889
+ "learning_rate": 0.00014974121740235456,
890
+ "loss": 1.3489,
891
+ "step": 625
892
+ },
893
+ {
894
+ "epoch": 0.40385222133746,
895
+ "grad_norm": 0.057373046875,
896
+ "learning_rate": 0.00014876685266967924,
897
+ "loss": 1.3481,
898
+ "step": 630
899
+ },
900
+ {
901
+ "epoch": 0.4070573976972811,
902
+ "grad_norm": 0.053466796875,
903
+ "learning_rate": 0.00014778637507483866,
904
+ "loss": 1.3533,
905
+ "step": 635
906
+ },
907
+ {
908
+ "epoch": 0.4102625740571022,
909
+ "grad_norm": 0.06494140625,
910
+ "learning_rate": 0.0001467999075194363,
911
+ "loss": 1.3522,
912
+ "step": 640
913
+ },
914
+ {
915
+ "epoch": 0.41346775041692335,
916
+ "grad_norm": 0.06689453125,
917
+ "learning_rate": 0.00014580757365590963,
918
+ "loss": 1.3712,
919
+ "step": 645
920
+ },
921
+ {
922
+ "epoch": 0.41667292677674445,
923
+ "grad_norm": 0.053955078125,
924
+ "learning_rate": 0.00014480949787203014,
925
+ "loss": 1.3606,
926
+ "step": 650
927
+ },
928
+ {
929
+ "epoch": 0.41987810313656554,
930
+ "grad_norm": 0.046875,
931
+ "learning_rate": 0.0001438058052753118,
932
+ "loss": 1.3488,
933
+ "step": 655
934
+ },
935
+ {
936
+ "epoch": 0.4230832794963867,
937
+ "grad_norm": 0.058837890625,
938
+ "learning_rate": 0.00014279662167732867,
939
+ "loss": 1.342,
940
+ "step": 660
941
+ },
942
+ {
943
+ "epoch": 0.4262884558562078,
944
+ "grad_norm": 0.07080078125,
945
+ "learning_rate": 0.00014178207357794486,
946
+ "loss": 1.3712,
947
+ "step": 665
948
+ },
949
+ {
950
+ "epoch": 0.4294936322160289,
951
+ "grad_norm": 0.05029296875,
952
+ "learning_rate": 0.00014076228814945778,
953
+ "loss": 1.3227,
954
+ "step": 670
955
+ },
956
+ {
957
+ "epoch": 0.43269880857585,
958
+ "grad_norm": 0.06982421875,
959
+ "learning_rate": 0.00013973739322065728,
960
+ "loss": 1.3201,
961
+ "step": 675
962
+ },
963
+ {
964
+ "epoch": 0.4359039849356711,
965
+ "grad_norm": 0.05029296875,
966
+ "learning_rate": 0.00013870751726080256,
967
+ "loss": 1.3406,
968
+ "step": 680
969
+ },
970
+ {
971
+ "epoch": 0.4391091612954922,
972
+ "grad_norm": 0.06201171875,
973
+ "learning_rate": 0.00013767278936351854,
974
+ "loss": 1.3636,
975
+ "step": 685
976
+ },
977
+ {
978
+ "epoch": 0.4423143376553133,
979
+ "grad_norm": 0.0458984375,
980
+ "learning_rate": 0.0001366333392306143,
981
+ "loss": 1.3576,
982
+ "step": 690
983
+ },
984
+ {
985
+ "epoch": 0.44551951401513445,
986
+ "grad_norm": 0.06005859375,
987
+ "learning_rate": 0.00013558929715582515,
988
+ "loss": 1.3517,
989
+ "step": 695
990
+ },
991
+ {
992
+ "epoch": 0.44872469037495555,
993
+ "grad_norm": 0.05126953125,
994
+ "learning_rate": 0.00013454079400848027,
995
+ "loss": 1.3376,
996
+ "step": 700
997
+ },
998
+ {
999
+ "epoch": 0.45192986673477664,
1000
+ "grad_norm": 0.059326171875,
1001
+ "learning_rate": 0.00013348796121709862,
1002
+ "loss": 1.3633,
1003
+ "step": 705
1004
+ },
1005
+ {
1006
+ "epoch": 0.4551350430945978,
1007
+ "grad_norm": 0.05078125,
1008
+ "learning_rate": 0.00013243093075291444,
1009
+ "loss": 1.3217,
1010
+ "step": 710
1011
+ },
1012
+ {
1013
+ "epoch": 0.4583402194544189,
1014
+ "grad_norm": 0.056884765625,
1015
+ "learning_rate": 0.00013136983511333482,
1016
+ "loss": 1.3265,
1017
+ "step": 715
1018
+ },
1019
+ {
1020
+ "epoch": 0.46154539581424,
1021
+ "grad_norm": 0.05859375,
1022
+ "learning_rate": 0.00013030480730533145,
1023
+ "loss": 1.3451,
1024
+ "step": 720
1025
+ },
1026
+ {
1027
+ "epoch": 0.4647505721740611,
1028
+ "grad_norm": 0.054443359375,
1029
+ "learning_rate": 0.00012923598082876812,
1030
+ "loss": 1.376,
1031
+ "step": 725
1032
+ },
1033
+ {
1034
+ "epoch": 0.4679557485338822,
1035
+ "grad_norm": 0.058349609375,
1036
+ "learning_rate": 0.0001281634896596669,
1037
+ "loss": 1.3524,
1038
+ "step": 730
1039
+ },
1040
+ {
1041
+ "epoch": 0.4711609248937033,
1042
+ "grad_norm": 0.0634765625,
1043
+ "learning_rate": 0.00012708746823341446,
1044
+ "loss": 1.3599,
1045
+ "step": 735
1046
+ },
1047
+ {
1048
+ "epoch": 0.47436610125352446,
1049
+ "grad_norm": 0.053466796875,
1050
+ "learning_rate": 0.00012600805142791042,
1051
+ "loss": 1.3416,
1052
+ "step": 740
1053
+ },
1054
+ {
1055
+ "epoch": 0.47757127761334556,
1056
+ "grad_norm": 0.055419921875,
1057
+ "learning_rate": 0.000124925374546661,
1058
+ "loss": 1.3574,
1059
+ "step": 745
1060
+ },
1061
+ {
1062
+ "epoch": 0.48077645397316665,
1063
+ "grad_norm": 0.052978515625,
1064
+ "learning_rate": 0.0001238395733018187,
1065
+ "loss": 1.3574,
1066
+ "step": 750
1067
+ },
1068
+ {
1069
+ "epoch": 0.4839816303329878,
1070
+ "grad_norm": 0.053466796875,
1071
+ "learning_rate": 0.00012275078379717089,
1072
+ "loss": 1.3341,
1073
+ "step": 755
1074
+ },
1075
+ {
1076
+ "epoch": 0.4871868066928089,
1077
+ "grad_norm": 0.0556640625,
1078
+ "learning_rate": 0.00012165914251107952,
1079
+ "loss": 1.3241,
1080
+ "step": 760
1081
+ },
1082
+ {
1083
+ "epoch": 0.49039198305263,
1084
+ "grad_norm": 0.054443359375,
1085
+ "learning_rate": 0.00012056478627937365,
1086
+ "loss": 1.3788,
1087
+ "step": 765
1088
+ },
1089
+ {
1090
+ "epoch": 0.4935971594124511,
1091
+ "grad_norm": 0.049560546875,
1092
+ "learning_rate": 0.00011946785227819726,
1093
+ "loss": 1.3581,
1094
+ "step": 770
1095
+ },
1096
+ {
1097
+ "epoch": 0.49680233577227223,
1098
+ "grad_norm": 0.05615234375,
1099
+ "learning_rate": 0.00011836847800681443,
1100
+ "loss": 1.3328,
1101
+ "step": 775
1102
+ },
1103
+ {
1104
+ "epoch": 0.5000075121320934,
1105
+ "grad_norm": 0.0556640625,
1106
+ "learning_rate": 0.00011726680127037401,
1107
+ "loss": 1.3533,
1108
+ "step": 780
1109
+ },
1110
+ {
1111
+ "epoch": 0.5032126884919145,
1112
+ "grad_norm": 0.05419921875,
1113
+ "learning_rate": 0.00011616296016263582,
1114
+ "loss": 1.3622,
1115
+ "step": 785
1116
+ },
1117
+ {
1118
+ "epoch": 0.5064178648517356,
1119
+ "grad_norm": 0.049072265625,
1120
+ "learning_rate": 0.00011505709304866084,
1121
+ "loss": 1.3446,
1122
+ "step": 790
1123
+ },
1124
+ {
1125
+ "epoch": 0.5096230412115567,
1126
+ "grad_norm": 0.0712890625,
1127
+ "learning_rate": 0.00011394933854746733,
1128
+ "loss": 1.3384,
1129
+ "step": 795
1130
+ },
1131
+ {
1132
+ "epoch": 0.5128282175713778,
1133
+ "grad_norm": 0.055908203125,
1134
+ "learning_rate": 0.00011283983551465511,
1135
+ "loss": 1.3378,
1136
+ "step": 800
1137
+ },
1138
+ {
1139
+ "epoch": 0.5160333939311988,
1140
+ "grad_norm": 0.060791015625,
1141
+ "learning_rate": 0.00011172872302500017,
1142
+ "loss": 1.3656,
1143
+ "step": 805
1144
+ },
1145
+ {
1146
+ "epoch": 0.51923857029102,
1147
+ "grad_norm": 0.0791015625,
1148
+ "learning_rate": 0.00011061614035502193,
1149
+ "loss": 1.3521,
1150
+ "step": 810
1151
+ },
1152
+ {
1153
+ "epoch": 0.5224437466508411,
1154
+ "grad_norm": 0.05859375,
1155
+ "learning_rate": 0.00010950222696552486,
1156
+ "loss": 1.3614,
1157
+ "step": 815
1158
+ },
1159
+ {
1160
+ "epoch": 0.5256489230106622,
1161
+ "grad_norm": 0.08203125,
1162
+ "learning_rate": 0.00010838712248411753,
1163
+ "loss": 1.3314,
1164
+ "step": 820
1165
+ },
1166
+ {
1167
+ "epoch": 0.5288540993704833,
1168
+ "grad_norm": 0.05322265625,
1169
+ "learning_rate": 0.00010727096668771036,
1170
+ "loss": 1.338,
1171
+ "step": 825
1172
+ },
1173
+ {
1174
+ "epoch": 0.5320592757303044,
1175
+ "grad_norm": 0.0556640625,
1176
+ "learning_rate": 0.0001061538994849946,
1177
+ "loss": 1.3611,
1178
+ "step": 830
1179
+ },
1180
+ {
1181
+ "epoch": 0.5352644520901255,
1182
+ "grad_norm": 0.06201171875,
1183
+ "learning_rate": 0.00010503606089890529,
1184
+ "loss": 1.3175,
1185
+ "step": 835
1186
+ },
1187
+ {
1188
+ "epoch": 0.5384696284499466,
1189
+ "grad_norm": 0.05712890625,
1190
+ "learning_rate": 0.00010391759104906928,
1191
+ "loss": 1.3525,
1192
+ "step": 840
1193
+ },
1194
+ {
1195
+ "epoch": 0.5416748048097678,
1196
+ "grad_norm": 0.0498046875,
1197
+ "learning_rate": 0.00010279863013424154,
1198
+ "loss": 1.3313,
1199
+ "step": 845
1200
+ },
1201
+ {
1202
+ "epoch": 0.5448799811695889,
1203
+ "grad_norm": 0.051025390625,
1204
+ "learning_rate": 0.00010167931841473142,
1205
+ "loss": 1.3349,
1206
+ "step": 850
1207
+ },
1208
+ {
1209
+ "epoch": 0.54808515752941,
1210
+ "grad_norm": 0.06298828125,
1211
+ "learning_rate": 0.00010055979619482112,
1212
+ "loss": 1.3408,
1213
+ "step": 855
1214
+ },
1215
+ {
1216
+ "epoch": 0.5512903338892311,
1217
+ "grad_norm": 0.058837890625,
1218
+ "learning_rate": 9.944020380517889e-05,
1219
+ "loss": 1.3175,
1220
+ "step": 860
1221
+ },
1222
+ {
1223
+ "epoch": 0.5544955102490522,
1224
+ "grad_norm": 0.050048828125,
1225
+ "learning_rate": 9.832068158526862e-05,
1226
+ "loss": 1.3375,
1227
+ "step": 865
1228
+ },
1229
+ {
1230
+ "epoch": 0.5577006866088733,
1231
+ "grad_norm": 0.0498046875,
1232
+ "learning_rate": 9.720136986575848e-05,
1233
+ "loss": 1.3475,
1234
+ "step": 870
1235
+ },
1236
+ {
1237
+ "epoch": 0.5609058629686945,
1238
+ "grad_norm": 0.051513671875,
1239
+ "learning_rate": 9.608240895093076e-05,
1240
+ "loss": 1.3295,
1241
+ "step": 875
1242
+ },
1243
+ {
1244
+ "epoch": 0.5641110393285156,
1245
+ "grad_norm": 0.046142578125,
1246
+ "learning_rate": 9.496393910109472e-05,
1247
+ "loss": 1.3429,
1248
+ "step": 880
1249
+ },
1250
+ {
1251
+ "epoch": 0.5673162156883367,
1252
+ "grad_norm": 0.04443359375,
1253
+ "learning_rate": 9.384610051500545e-05,
1254
+ "loss": 1.3293,
1255
+ "step": 885
1256
+ },
1257
+ {
1258
+ "epoch": 0.5705213920481578,
1259
+ "grad_norm": 0.052734375,
1260
+ "learning_rate": 9.272903331228968e-05,
1261
+ "loss": 1.3498,
1262
+ "step": 890
1263
+ },
1264
+ {
1265
+ "epoch": 0.5737265684079789,
1266
+ "grad_norm": 0.062255859375,
1267
+ "learning_rate": 9.161287751588248e-05,
1268
+ "loss": 1.3351,
1269
+ "step": 895
1270
+ },
1271
+ {
1272
+ "epoch": 0.5769317447678,
1273
+ "grad_norm": 0.064453125,
1274
+ "learning_rate": 9.049777303447516e-05,
1275
+ "loss": 1.353,
1276
+ "step": 900
1277
+ },
1278
+ {
1279
+ "epoch": 0.5801369211276212,
1280
+ "grad_norm": 0.0556640625,
1281
+ "learning_rate": 8.938385964497808e-05,
1282
+ "loss": 1.3363,
1283
+ "step": 905
1284
+ },
1285
+ {
1286
+ "epoch": 0.5833420974874423,
1287
+ "grad_norm": 0.06201171875,
1288
+ "learning_rate": 8.827127697499984e-05,
1289
+ "loss": 1.3696,
1290
+ "step": 910
1291
+ },
1292
+ {
1293
+ "epoch": 0.5865472738472634,
1294
+ "grad_norm": 0.080078125,
1295
+ "learning_rate": 8.71601644853449e-05,
1296
+ "loss": 1.3481,
1297
+ "step": 915
1298
+ },
1299
+ {
1300
+ "epoch": 0.5897524502070844,
1301
+ "grad_norm": 0.06884765625,
1302
+ "learning_rate": 8.605066145253268e-05,
1303
+ "loss": 1.3256,
1304
+ "step": 920
1305
+ },
1306
+ {
1307
+ "epoch": 0.5929576265669055,
1308
+ "grad_norm": 0.051513671875,
1309
+ "learning_rate": 8.494290695133917e-05,
1310
+ "loss": 1.3544,
1311
+ "step": 925
1312
+ },
1313
+ {
1314
+ "epoch": 0.5961628029267266,
1315
+ "grad_norm": 0.05810546875,
1316
+ "learning_rate": 8.383703983736419e-05,
1317
+ "loss": 1.3443,
1318
+ "step": 930
1319
+ },
1320
+ {
1321
+ "epoch": 0.5993679792865477,
1322
+ "grad_norm": 0.06103515625,
1323
+ "learning_rate": 8.2733198729626e-05,
1324
+ "loss": 1.3816,
1325
+ "step": 935
1326
+ },
1327
+ {
1328
+ "epoch": 0.6025731556463689,
1329
+ "grad_norm": 0.046142578125,
1330
+ "learning_rate": 8.163152199318558e-05,
1331
+ "loss": 1.3247,
1332
+ "step": 940
1333
+ },
1334
+ {
1335
+ "epoch": 0.60577833200619,
1336
+ "grad_norm": 0.053466796875,
1337
+ "learning_rate": 8.053214772180277e-05,
1338
+ "loss": 1.3532,
1339
+ "step": 945
1340
+ },
1341
+ {
1342
+ "epoch": 0.6089835083660111,
1343
+ "grad_norm": 0.05419921875,
1344
+ "learning_rate": 7.94352137206264e-05,
1345
+ "loss": 1.3443,
1346
+ "step": 950
1347
+ },
1348
+ {
1349
+ "epoch": 0.6121886847258322,
1350
+ "grad_norm": 0.047119140625,
1351
+ "learning_rate": 7.83408574889205e-05,
1352
+ "loss": 1.3327,
1353
+ "step": 955
1354
+ },
1355
+ {
1356
+ "epoch": 0.6153938610856533,
1357
+ "grad_norm": 0.0537109375,
1358
+ "learning_rate": 7.724921620282916e-05,
1359
+ "loss": 1.334,
1360
+ "step": 960
1361
+ },
1362
+ {
1363
+ "epoch": 0.6185990374454744,
1364
+ "grad_norm": 0.0703125,
1365
+ "learning_rate": 7.616042669818133e-05,
1366
+ "loss": 1.3572,
1367
+ "step": 965
1368
+ },
1369
+ {
1370
+ "epoch": 0.6218042138052956,
1371
+ "grad_norm": 0.055419921875,
1372
+ "learning_rate": 7.507462545333903e-05,
1373
+ "loss": 1.3322,
1374
+ "step": 970
1375
+ },
1376
+ {
1377
+ "epoch": 0.6250093901651167,
1378
+ "grad_norm": 0.07958984375,
1379
+ "learning_rate": 7.399194857208961e-05,
1380
+ "loss": 1.3222,
1381
+ "step": 975
1382
+ },
1383
+ {
1384
+ "epoch": 0.6282145665249378,
1385
+ "grad_norm": 0.05078125,
1386
+ "learning_rate": 7.291253176658561e-05,
1387
+ "loss": 1.3375,
1388
+ "step": 980
1389
+ },
1390
+ {
1391
+ "epoch": 0.6314197428847589,
1392
+ "grad_norm": 0.08251953125,
1393
+ "learning_rate": 7.183651034033313e-05,
1394
+ "loss": 1.3397,
1395
+ "step": 985
1396
+ },
1397
+ {
1398
+ "epoch": 0.63462491924458,
1399
+ "grad_norm": 0.04931640625,
1400
+ "learning_rate": 7.07640191712319e-05,
1401
+ "loss": 1.34,
1402
+ "step": 990
1403
+ },
1404
+ {
1405
+ "epoch": 0.6378300956044011,
1406
+ "grad_norm": 0.049072265625,
1407
+ "learning_rate": 6.969519269466857e-05,
1408
+ "loss": 1.3344,
1409
+ "step": 995
1410
+ },
1411
+ {
1412
+ "epoch": 0.6410352719642222,
1413
+ "grad_norm": 0.052490234375,
1414
+ "learning_rate": 6.863016488666517e-05,
1415
+ "loss": 1.3475,
1416
+ "step": 1000
1417
+ },
1418
+ {
1419
+ "epoch": 0.6442404483240434,
1420
+ "grad_norm": 0.04736328125,
1421
+ "learning_rate": 6.756906924708558e-05,
1422
+ "loss": 1.3317,
1423
+ "step": 1005
1424
+ },
1425
+ {
1426
+ "epoch": 0.6474456246838645,
1427
+ "grad_norm": 0.050537109375,
1428
+ "learning_rate": 6.651203878290139e-05,
1429
+ "loss": 1.3243,
1430
+ "step": 1010
1431
+ },
1432
+ {
1433
+ "epoch": 0.6506508010436856,
1434
+ "grad_norm": 0.053955078125,
1435
+ "learning_rate": 6.545920599151975e-05,
1436
+ "loss": 1.3351,
1437
+ "step": 1015
1438
+ },
1439
+ {
1440
+ "epoch": 0.6538559774035066,
1441
+ "grad_norm": 0.058837890625,
1442
+ "learning_rate": 6.441070284417487e-05,
1443
+ "loss": 1.3536,
1444
+ "step": 1020
1445
+ },
1446
+ {
1447
+ "epoch": 0.6570611537633277,
1448
+ "grad_norm": 0.060791015625,
1449
+ "learning_rate": 6.336666076938572e-05,
1450
+ "loss": 1.3064,
1451
+ "step": 1025
1452
+ },
1453
+ {
1454
+ "epoch": 0.6602663301231488,
1455
+ "grad_norm": 0.056396484375,
1456
+ "learning_rate": 6.232721063648148e-05,
1457
+ "loss": 1.3496,
1458
+ "step": 1030
1459
+ },
1460
+ {
1461
+ "epoch": 0.66347150648297,
1462
+ "grad_norm": 0.0478515625,
1463
+ "learning_rate": 6.12924827391975e-05,
1464
+ "loss": 1.3487,
1465
+ "step": 1035
1466
+ },
1467
+ {
1468
+ "epoch": 0.6666766828427911,
1469
+ "grad_norm": 0.05126953125,
1470
+ "learning_rate": 6.026260677934272e-05,
1471
+ "loss": 1.3241,
1472
+ "step": 1040
1473
+ },
1474
+ {
1475
+ "epoch": 0.6698818592026122,
1476
+ "grad_norm": 0.0478515625,
1477
+ "learning_rate": 5.9237711850542246e-05,
1478
+ "loss": 1.3454,
1479
+ "step": 1045
1480
+ },
1481
+ {
1482
+ "epoch": 0.6730870355624333,
1483
+ "grad_norm": 0.046142578125,
1484
+ "learning_rate": 5.8217926422055126e-05,
1485
+ "loss": 1.3364,
1486
+ "step": 1050
1487
+ },
1488
+ {
1489
+ "epoch": 0.6762922119222544,
1490
+ "grad_norm": 0.054443359375,
1491
+ "learning_rate": 5.7203378322671355e-05,
1492
+ "loss": 1.3152,
1493
+ "step": 1055
1494
+ },
1495
+ {
1496
+ "epoch": 0.6794973882820755,
1497
+ "grad_norm": 0.0546875,
1498
+ "learning_rate": 5.619419472468823e-05,
1499
+ "loss": 1.3486,
1500
+ "step": 1060
1501
+ },
1502
+ {
1503
+ "epoch": 0.6827025646418967,
1504
+ "grad_norm": 0.05029296875,
1505
+ "learning_rate": 5.519050212796986e-05,
1506
+ "loss": 1.3301,
1507
+ "step": 1065
1508
+ },
1509
+ {
1510
+ "epoch": 0.6859077410017178,
1511
+ "grad_norm": 0.051513671875,
1512
+ "learning_rate": 5.419242634409039e-05,
1513
+ "loss": 1.3279,
1514
+ "step": 1070
1515
+ },
1516
+ {
1517
+ "epoch": 0.6891129173615389,
1518
+ "grad_norm": 0.0478515625,
1519
+ "learning_rate": 5.32000924805637e-05,
1520
+ "loss": 1.3415,
1521
+ "step": 1075
1522
+ },
1523
+ {
1524
+ "epoch": 0.69231809372136,
1525
+ "grad_norm": 0.04638671875,
1526
+ "learning_rate": 5.2213624925161386e-05,
1527
+ "loss": 1.3449,
1528
+ "step": 1080
1529
+ },
1530
+ {
1531
+ "epoch": 0.6955232700811811,
1532
+ "grad_norm": 0.04541015625,
1533
+ "learning_rate": 5.123314733032074e-05,
1534
+ "loss": 1.3442,
1535
+ "step": 1085
1536
+ },
1537
+ {
1538
+ "epoch": 0.6987284464410022,
1539
+ "grad_norm": 0.04736328125,
1540
+ "learning_rate": 5.0258782597645446e-05,
1541
+ "loss": 1.3309,
1542
+ "step": 1090
1543
+ },
1544
+ {
1545
+ "epoch": 0.7019336228008233,
1546
+ "grad_norm": 0.0478515625,
1547
+ "learning_rate": 4.929065286249959e-05,
1548
+ "loss": 1.3564,
1549
+ "step": 1095
1550
+ },
1551
+ {
1552
+ "epoch": 0.7051387991606445,
1553
+ "grad_norm": 0.048095703125,
1554
+ "learning_rate": 4.832887947869841e-05,
1555
+ "loss": 1.3578,
1556
+ "step": 1100
1557
+ },
1558
+ {
1559
+ "epoch": 0.7083439755204656,
1560
+ "grad_norm": 0.047119140625,
1561
+ "learning_rate": 4.737358300329673e-05,
1562
+ "loss": 1.3417,
1563
+ "step": 1105
1564
+ },
1565
+ {
1566
+ "epoch": 0.7115491518802867,
1567
+ "grad_norm": 0.05029296875,
1568
+ "learning_rate": 4.642488318147723e-05,
1569
+ "loss": 1.3259,
1570
+ "step": 1110
1571
+ },
1572
+ {
1573
+ "epoch": 0.7147543282401078,
1574
+ "grad_norm": 0.052001953125,
1575
+ "learning_rate": 4.548289893154051e-05,
1576
+ "loss": 1.3568,
1577
+ "step": 1115
1578
+ },
1579
+ {
1580
+ "epoch": 0.7179595045999289,
1581
+ "grad_norm": 0.047607421875,
1582
+ "learning_rate": 4.4547748329998925e-05,
1583
+ "loss": 1.3211,
1584
+ "step": 1120
1585
+ },
1586
+ {
1587
+ "epoch": 0.72116468095975,
1588
+ "grad_norm": 0.05126953125,
1589
+ "learning_rate": 4.361954859677584e-05,
1590
+ "loss": 1.3398,
1591
+ "step": 1125
1592
+ },
1593
+ {
1594
+ "epoch": 0.7243698573195712,
1595
+ "grad_norm": 0.048095703125,
1596
+ "learning_rate": 4.2698416080512204e-05,
1597
+ "loss": 1.3266,
1598
+ "step": 1130
1599
+ },
1600
+ {
1601
+ "epoch": 0.7275750336793922,
1602
+ "grad_norm": 0.050048828125,
1603
+ "learning_rate": 4.1784466243982324e-05,
1604
+ "loss": 1.3447,
1605
+ "step": 1135
1606
+ },
1607
+ {
1608
+ "epoch": 0.7307802100392133,
1609
+ "grad_norm": 0.052001953125,
1610
+ "learning_rate": 4.0877813649621076e-05,
1611
+ "loss": 1.3385,
1612
+ "step": 1140
1613
+ },
1614
+ {
1615
+ "epoch": 0.7339853863990344,
1616
+ "grad_norm": 0.04638671875,
1617
+ "learning_rate": 3.997857194516319e-05,
1618
+ "loss": 1.3403,
1619
+ "step": 1145
1620
+ },
1621
+ {
1622
+ "epoch": 0.7371905627588555,
1623
+ "grad_norm": 0.05078125,
1624
+ "learning_rate": 3.9086853849398065e-05,
1625
+ "loss": 1.3503,
1626
+ "step": 1150
1627
+ },
1628
+ {
1629
+ "epoch": 0.7403957391186766,
1630
+ "grad_norm": 0.06396484375,
1631
+ "learning_rate": 3.8202771138040336e-05,
1632
+ "loss": 1.3354,
1633
+ "step": 1155
1634
+ },
1635
+ {
1636
+ "epoch": 0.7436009154784978,
1637
+ "grad_norm": 0.05078125,
1638
+ "learning_rate": 3.732643462971912e-05,
1639
+ "loss": 1.3258,
1640
+ "step": 1160
1641
+ },
1642
+ {
1643
+ "epoch": 0.7468060918383189,
1644
+ "grad_norm": 0.049560546875,
1645
+ "learning_rate": 3.6457954172086896e-05,
1646
+ "loss": 1.3493,
1647
+ "step": 1165
1648
+ },
1649
+ {
1650
+ "epoch": 0.75001126819814,
1651
+ "grad_norm": 0.046875,
1652
+ "learning_rate": 3.559743862805034e-05,
1653
+ "loss": 1.3275,
1654
+ "step": 1170
1655
+ },
1656
+ {
1657
+ "epoch": 0.7532164445579611,
1658
+ "grad_norm": 0.045654296875,
1659
+ "learning_rate": 3.47449958621245e-05,
1660
+ "loss": 1.3148,
1661
+ "step": 1175
1662
+ },
1663
+ {
1664
+ "epoch": 0.7564216209177822,
1665
+ "grad_norm": 0.051513671875,
1666
+ "learning_rate": 3.390073272691198e-05,
1667
+ "loss": 1.3338,
1668
+ "step": 1180
1669
+ },
1670
+ {
1671
+ "epoch": 0.7596267972776033,
1672
+ "grad_norm": 0.049072265625,
1673
+ "learning_rate": 3.306475504970931e-05,
1674
+ "loss": 1.2935,
1675
+ "step": 1185
1676
+ },
1677
+ {
1678
+ "epoch": 0.7628319736374244,
1679
+ "grad_norm": 0.04833984375,
1680
+ "learning_rate": 3.2237167619241495e-05,
1681
+ "loss": 1.3275,
1682
+ "step": 1190
1683
+ },
1684
+ {
1685
+ "epoch": 0.7660371499972456,
1686
+ "grad_norm": 0.056396484375,
1687
+ "learning_rate": 3.141807417252697e-05,
1688
+ "loss": 1.3461,
1689
+ "step": 1195
1690
+ },
1691
+ {
1692
+ "epoch": 0.7692423263570667,
1693
+ "grad_norm": 0.04345703125,
1694
+ "learning_rate": 3.060757738187409e-05,
1695
+ "loss": 1.3394,
1696
+ "step": 1200
1697
+ },
1698
+ {
1699
+ "epoch": 0.7724475027168878,
1700
+ "grad_norm": 0.053955078125,
1701
+ "learning_rate": 2.980577884201169e-05,
1702
+ "loss": 1.3511,
1703
+ "step": 1205
1704
+ },
1705
+ {
1706
+ "epoch": 0.7756526790767089,
1707
+ "grad_norm": 0.04736328125,
1708
+ "learning_rate": 2.9012779057353855e-05,
1709
+ "loss": 1.3213,
1710
+ "step": 1210
1711
+ },
1712
+ {
1713
+ "epoch": 0.77885785543653,
1714
+ "grad_norm": 0.0576171875,
1715
+ "learning_rate": 2.822867742940214e-05,
1716
+ "loss": 1.3384,
1717
+ "step": 1215
1718
+ },
1719
+ {
1720
+ "epoch": 0.7820630317963511,
1721
+ "grad_norm": 0.04833984375,
1722
+ "learning_rate": 2.745357224428563e-05,
1723
+ "loss": 1.343,
1724
+ "step": 1220
1725
+ },
1726
+ {
1727
+ "epoch": 0.7852682081561723,
1728
+ "grad_norm": 0.049560546875,
1729
+ "learning_rate": 2.6687560660440858e-05,
1730
+ "loss": 1.3541,
1731
+ "step": 1225
1732
+ },
1733
+ {
1734
+ "epoch": 0.7884733845159934,
1735
+ "grad_norm": 0.047607421875,
1736
+ "learning_rate": 2.593073869643312e-05,
1737
+ "loss": 1.3491,
1738
+ "step": 1230
1739
+ },
1740
+ {
1741
+ "epoch": 0.7916785608758145,
1742
+ "grad_norm": 0.04248046875,
1743
+ "learning_rate": 2.518320121892076e-05,
1744
+ "loss": 1.3439,
1745
+ "step": 1235
1746
+ },
1747
+ {
1748
+ "epoch": 0.7948837372356355,
1749
+ "grad_norm": 0.04736328125,
1750
+ "learning_rate": 2.4445041930763678e-05,
1751
+ "loss": 1.3236,
1752
+ "step": 1240
1753
+ },
1754
+ {
1755
+ "epoch": 0.7980889135954566,
1756
+ "grad_norm": 0.0478515625,
1757
+ "learning_rate": 2.371635335927781e-05,
1758
+ "loss": 1.3505,
1759
+ "step": 1245
1760
+ },
1761
+ {
1762
+ "epoch": 0.8012940899552777,
1763
+ "grad_norm": 0.0517578125,
1764
+ "learning_rate": 2.2997226844636977e-05,
1765
+ "loss": 1.3223,
1766
+ "step": 1250
1767
+ },
1768
+ {
1769
+ "epoch": 0.8044992663150989,
1770
+ "grad_norm": 0.046630859375,
1771
+ "learning_rate": 2.2287752528423468e-05,
1772
+ "loss": 1.3282,
1773
+ "step": 1255
1774
+ },
1775
+ {
1776
+ "epoch": 0.80770444267492,
1777
+ "grad_norm": 0.046875,
1778
+ "learning_rate": 2.1588019342328968e-05,
1779
+ "loss": 1.3294,
1780
+ "step": 1260
1781
+ },
1782
+ {
1783
+ "epoch": 0.8109096190347411,
1784
+ "grad_norm": 0.0439453125,
1785
+ "learning_rate": 2.089811499700699e-05,
1786
+ "loss": 1.3356,
1787
+ "step": 1265
1788
+ },
1789
+ {
1790
+ "epoch": 0.8141147953945622,
1791
+ "grad_norm": 0.045654296875,
1792
+ "learning_rate": 2.021812597107855e-05,
1793
+ "loss": 1.3486,
1794
+ "step": 1270
1795
+ },
1796
+ {
1797
+ "epoch": 0.8173199717543833,
1798
+ "grad_norm": 0.04931640625,
1799
+ "learning_rate": 1.954813750029216e-05,
1800
+ "loss": 1.3492,
1801
+ "step": 1275
1802
+ },
1803
+ {
1804
+ "epoch": 0.8205251481142044,
1805
+ "grad_norm": 0.05126953125,
1806
+ "learning_rate": 1.8888233566839653e-05,
1807
+ "loss": 1.329,
1808
+ "step": 1280
1809
+ },
1810
+ {
1811
+ "epoch": 0.8237303244740255,
1812
+ "grad_norm": 0.048095703125,
1813
+ "learning_rate": 1.8238496888828982e-05,
1814
+ "loss": 1.317,
1815
+ "step": 1285
1816
+ },
1817
+ {
1818
+ "epoch": 0.8269355008338467,
1819
+ "grad_norm": 0.051513671875,
1820
+ "learning_rate": 1.759900890991589e-05,
1821
+ "loss": 1.3177,
1822
+ "step": 1290
1823
+ },
1824
+ {
1825
+ "epoch": 0.8301406771936678,
1826
+ "grad_norm": 0.0458984375,
1827
+ "learning_rate": 1.696984978909476e-05,
1828
+ "loss": 1.323,
1829
+ "step": 1295
1830
+ },
1831
+ {
1832
+ "epoch": 0.8333458535534889,
1833
+ "grad_norm": 0.0439453125,
1834
+ "learning_rate": 1.6351098390650966e-05,
1835
+ "loss": 1.3517,
1836
+ "step": 1300
1837
+ },
1838
+ {
1839
+ "epoch": 0.83655102991331,
1840
+ "grad_norm": 0.052978515625,
1841
+ "learning_rate": 1.5742832274275288e-05,
1842
+ "loss": 1.35,
1843
+ "step": 1305
1844
+ },
1845
+ {
1846
+ "epoch": 0.8397562062731311,
1847
+ "grad_norm": 0.049072265625,
1848
+ "learning_rate": 1.514512768534193e-05,
1849
+ "loss": 1.3614,
1850
+ "step": 1310
1851
+ },
1852
+ {
1853
+ "epoch": 0.8429613826329522,
1854
+ "grad_norm": 0.0439453125,
1855
+ "learning_rate": 1.4558059545351143e-05,
1856
+ "loss": 1.3389,
1857
+ "step": 1315
1858
+ },
1859
+ {
1860
+ "epoch": 0.8461665589927734,
1861
+ "grad_norm": 0.04541015625,
1862
+ "learning_rate": 1.3981701442538153e-05,
1863
+ "loss": 1.3272,
1864
+ "step": 1320
1865
+ },
1866
+ {
1867
+ "epoch": 0.8493717353525945,
1868
+ "grad_norm": 0.048583984375,
1869
+ "learning_rate": 1.3416125622648668e-05,
1870
+ "loss": 1.3324,
1871
+ "step": 1325
1872
+ },
1873
+ {
1874
+ "epoch": 0.8525769117124156,
1875
+ "grad_norm": 0.04541015625,
1876
+ "learning_rate": 1.286140297988323e-05,
1877
+ "loss": 1.3352,
1878
+ "step": 1330
1879
+ },
1880
+ {
1881
+ "epoch": 0.8557820880722367,
1882
+ "grad_norm": 0.04443359375,
1883
+ "learning_rate": 1.231760304801054e-05,
1884
+ "loss": 1.3361,
1885
+ "step": 1335
1886
+ },
1887
+ {
1888
+ "epoch": 0.8589872644320578,
1889
+ "grad_norm": 0.047119140625,
1890
+ "learning_rate": 1.1784793991651621e-05,
1891
+ "loss": 1.3252,
1892
+ "step": 1340
1893
+ },
1894
+ {
1895
+ "epoch": 0.8621924407918788,
1896
+ "grad_norm": 0.044189453125,
1897
+ "learning_rate": 1.1263042597735362e-05,
1898
+ "loss": 1.3468,
1899
+ "step": 1345
1900
+ },
1901
+ {
1902
+ "epoch": 0.8653976171517,
1903
+ "grad_norm": 0.046630859375,
1904
+ "learning_rate": 1.0752414267126875e-05,
1905
+ "loss": 1.3301,
1906
+ "step": 1350
1907
+ },
1908
+ {
1909
+ "epoch": 0.8686027935115211,
1910
+ "grad_norm": 0.05029296875,
1911
+ "learning_rate": 1.0252973006429733e-05,
1912
+ "loss": 1.36,
1913
+ "step": 1355
1914
+ },
1915
+ {
1916
+ "epoch": 0.8718079698713422,
1917
+ "grad_norm": 0.047119140625,
1918
+ "learning_rate": 9.764781419962577e-06,
1919
+ "loss": 1.3482,
1920
+ "step": 1360
1921
+ },
1922
+ {
1923
+ "epoch": 0.8750131462311633,
1924
+ "grad_norm": 0.04638671875,
1925
+ "learning_rate": 9.287900701911944e-06,
1926
+ "loss": 1.3232,
1927
+ "step": 1365
1928
+ },
1929
+ {
1930
+ "epoch": 0.8782183225909844,
1931
+ "grad_norm": 0.04931640625,
1932
+ "learning_rate": 8.822390628661582e-06,
1933
+ "loss": 1.3571,
1934
+ "step": 1370
1935
+ },
1936
+ {
1937
+ "epoch": 0.8814234989508055,
1938
+ "grad_norm": 0.044921875,
1939
+ "learning_rate": 8.368309551299536e-06,
1940
+ "loss": 1.3274,
1941
+ "step": 1375
1942
+ },
1943
+ {
1944
+ "epoch": 0.8846286753106266,
1945
+ "grad_norm": 0.04541015625,
1946
+ "learning_rate": 7.92571438830394e-06,
1947
+ "loss": 1.3656,
1948
+ "step": 1380
1949
+ },
1950
+ {
1951
+ "epoch": 0.8878338516704478,
1952
+ "grad_norm": 0.046142578125,
1953
+ "learning_rate": 7.494660618408378e-06,
1954
+ "loss": 1.3659,
1955
+ "step": 1385
1956
+ },
1957
+ {
1958
+ "epoch": 0.8910390280302689,
1959
+ "grad_norm": 0.04541015625,
1960
+ "learning_rate": 7.075202273647652e-06,
1961
+ "loss": 1.3305,
1962
+ "step": 1390
1963
+ },
1964
+ {
1965
+ "epoch": 0.89424420439009,
1966
+ "grad_norm": 0.046875,
1967
+ "learning_rate": 6.667391932584999e-06,
1968
+ "loss": 1.36,
1969
+ "step": 1395
1970
+ },
1971
+ {
1972
+ "epoch": 0.8974493807499111,
1973
+ "grad_norm": 0.0458984375,
1974
+ "learning_rate": 6.271280713721317e-06,
1975
+ "loss": 1.3382,
1976
+ "step": 1400
1977
+ },
1978
+ {
1979
+ "epoch": 0.9006545571097322,
1980
+ "grad_norm": 0.04638671875,
1981
+ "learning_rate": 5.886918269087716e-06,
1982
+ "loss": 1.326,
1983
+ "step": 1405
1984
+ },
1985
+ {
1986
+ "epoch": 0.9038597334695533,
1987
+ "grad_norm": 0.046875,
1988
+ "learning_rate": 5.514352778021492e-06,
1989
+ "loss": 1.3602,
1990
+ "step": 1410
1991
+ },
1992
+ {
1993
+ "epoch": 0.9070649098293745,
1994
+ "grad_norm": 0.046142578125,
1995
+ "learning_rate": 5.153630941127063e-06,
1996
+ "loss": 1.3407,
1997
+ "step": 1415
1998
+ },
1999
+ {
2000
+ "epoch": 0.9102700861891956,
2001
+ "grad_norm": 0.046875,
2002
+ "learning_rate": 4.804797974422026e-06,
2003
+ "loss": 1.3241,
2004
+ "step": 1420
2005
+ },
2006
+ {
2007
+ "epoch": 0.9134752625490167,
2008
+ "grad_norm": 0.050537109375,
2009
+ "learning_rate": 4.4678976036694355e-06,
2010
+ "loss": 1.3324,
2011
+ "step": 1425
2012
+ },
2013
+ {
2014
+ "epoch": 0.9166804389088378,
2015
+ "grad_norm": 0.04443359375,
2016
+ "learning_rate": 4.142972058896811e-06,
2017
+ "loss": 1.3267,
2018
+ "step": 1430
2019
+ },
2020
+ {
2021
+ "epoch": 0.9198856152686589,
2022
+ "grad_norm": 0.044921875,
2023
+ "learning_rate": 3.830062069102602e-06,
2024
+ "loss": 1.3496,
2025
+ "step": 1435
2026
+ },
2027
+ {
2028
+ "epoch": 0.92309079162848,
2029
+ "grad_norm": 0.046630859375,
2030
+ "learning_rate": 3.529206857151035e-06,
2031
+ "loss": 1.3481,
2032
+ "step": 1440
2033
+ },
2034
+ {
2035
+ "epoch": 0.9262959679883012,
2036
+ "grad_norm": 0.04345703125,
2037
+ "learning_rate": 3.240444134855347e-06,
2038
+ "loss": 1.3433,
2039
+ "step": 1445
2040
+ },
2041
+ {
2042
+ "epoch": 0.9295011443481223,
2043
+ "grad_norm": 0.045654296875,
2044
+ "learning_rate": 2.963810098250841e-06,
2045
+ "loss": 1.3555,
2046
+ "step": 1450
2047
+ },
2048
+ {
2049
+ "epoch": 0.9327063207079433,
2050
+ "grad_norm": 0.044921875,
2051
+ "learning_rate": 2.6993394230576674e-06,
2052
+ "loss": 1.3218,
2053
+ "step": 1455
2054
+ },
2055
+ {
2056
+ "epoch": 0.9359114970677644,
2057
+ "grad_norm": 0.04638671875,
2058
+ "learning_rate": 2.4470652603343023e-06,
2059
+ "loss": 1.346,
2060
+ "step": 1460
2061
+ },
2062
+ {
2063
+ "epoch": 0.9391166734275855,
2064
+ "grad_norm": 0.044677734375,
2065
+ "learning_rate": 2.2070192323220607e-06,
2066
+ "loss": 1.3551,
2067
+ "step": 1465
2068
+ },
2069
+ {
2070
+ "epoch": 0.9423218497874066,
2071
+ "grad_norm": 0.0439453125,
2072
+ "learning_rate": 1.9792314284813986e-06,
2073
+ "loss": 1.3262,
2074
+ "step": 1470
2075
+ },
2076
+ {
2077
+ "epoch": 0.9455270261472277,
2078
+ "grad_norm": 0.04736328125,
2079
+ "learning_rate": 1.763730401720065e-06,
2080
+ "loss": 1.3257,
2081
+ "step": 1475
2082
+ },
2083
+ {
2084
+ "epoch": 0.9487322025070489,
2085
+ "grad_norm": 0.046142578125,
2086
+ "learning_rate": 1.5605431648141878e-06,
2087
+ "loss": 1.3158,
2088
+ "step": 1480
2089
+ },
2090
+ {
2091
+ "epoch": 0.95193737886687,
2092
+ "grad_norm": 0.044677734375,
2093
+ "learning_rate": 1.3696951870222018e-06,
2094
+ "loss": 1.3637,
2095
+ "step": 1485
2096
+ },
2097
+ {
2098
+ "epoch": 0.9551425552266911,
2099
+ "grad_norm": 0.053466796875,
2100
+ "learning_rate": 1.1912103908922945e-06,
2101
+ "loss": 1.3337,
2102
+ "step": 1490
2103
+ },
2104
+ {
2105
+ "epoch": 0.9583477315865122,
2106
+ "grad_norm": 0.050048828125,
2107
+ "learning_rate": 1.0251111492637244e-06,
2108
+ "loss": 1.3557,
2109
+ "step": 1495
2110
+ },
2111
+ {
2112
+ "epoch": 0.9615529079463333,
2113
+ "grad_norm": 0.05126953125,
2114
+ "learning_rate": 8.714182824624883e-07,
2115
+ "loss": 1.3373,
2116
+ "step": 1500
2117
+ },
2118
+ {
2119
+ "epoch": 0.9647580843061544,
2120
+ "grad_norm": 0.0458984375,
2121
+ "learning_rate": 7.301510556914859e-07,
2122
+ "loss": 1.3274,
2123
+ "step": 1505
2124
+ },
2125
+ {
2126
+ "epoch": 0.9679632606659756,
2127
+ "grad_norm": 0.05224609375,
2128
+ "learning_rate": 6.01327176615607e-07,
2129
+ "loss": 1.3894,
2130
+ "step": 1510
2131
+ },
2132
+ {
2133
+ "epoch": 0.9711684370257967,
2134
+ "grad_norm": 0.045166015625,
2135
+ "learning_rate": 4.84962793142163e-07,
2136
+ "loss": 1.3419,
2137
+ "step": 1515
2138
+ },
2139
+ {
2140
+ "epoch": 0.9743736133856178,
2141
+ "grad_norm": 0.044677734375,
2142
+ "learning_rate": 3.8107249139672783e-07,
2143
+ "loss": 1.3321,
2144
+ "step": 1520
2145
+ },
2146
+ {
2147
+ "epoch": 0.9775787897454389,
2148
+ "grad_norm": 0.0478515625,
2149
+ "learning_rate": 2.89669293894812e-07,
2150
+ "loss": 1.3497,
2151
+ "step": 1525
2152
+ },
2153
+ {
2154
+ "epoch": 0.98078396610526,
2155
+ "grad_norm": 0.049072265625,
2156
+ "learning_rate": 2.1076465790946798e-07,
2157
+ "loss": 1.3518,
2158
+ "step": 1530
2159
+ },
2160
+ {
2161
+ "epoch": 0.9839891424650811,
2162
+ "grad_norm": 0.04638671875,
2163
+ "learning_rate": 1.443684740351947e-07,
2164
+ "loss": 1.3224,
2165
+ "step": 1535
2166
+ },
2167
+ {
2168
+ "epoch": 0.9871943188249022,
2169
+ "grad_norm": 0.049072265625,
2170
+ "learning_rate": 9.048906494811826e-08,
2171
+ "loss": 1.3513,
2172
+ "step": 1540
2173
+ },
2174
+ {
2175
+ "epoch": 0.9903994951847234,
2176
+ "grad_norm": 0.050048828125,
2177
+ "learning_rate": 4.9133184362748497e-08,
2178
+ "loss": 1.3494,
2179
+ "step": 1545
2180
+ },
2181
+ {
2182
+ "epoch": 0.9936046715445445,
2183
+ "grad_norm": 0.04443359375,
2184
+ "learning_rate": 2.0306016185456244e-08,
2185
+ "loss": 1.3344,
2186
+ "step": 1550
2187
+ },
2188
+ {
2189
+ "epoch": 0.9968098479043656,
2190
+ "grad_norm": 0.047119140625,
2191
+ "learning_rate": 4.011173864637563e-09,
2192
+ "loss": 1.3662,
2193
+ "step": 1555
2194
+ },
2195
+ {
2196
+ "epoch": 0.9993739889922224,
2197
+ "eval_loss": 1.4191993474960327,
2198
+ "eval_runtime": 1938.5869,
2199
+ "eval_samples_per_second": 7.3,
2200
+ "eval_steps_per_second": 7.3,
2201
+ "step": 1559
2202
+ },
2203
+ {
2204
+ "epoch": 0.9993739889922224,
2205
+ "step": 1559,
2206
+ "total_flos": 3.232184148701479e+18,
2207
+ "train_loss": 0.016414370117774753,
2208
+ "train_runtime": 2971.8566,
2209
+ "train_samples_per_second": 67.189,
2210
+ "train_steps_per_second": 0.525
2211
+ }
2212
+ ],
2213
+ "logging_steps": 5,
2214
+ "max_steps": 1559,
2215
+ "num_input_tokens_seen": 0,
2216
+ "num_train_epochs": 1,
2217
+ "save_steps": 20,
2218
+ "total_flos": 3.232184148701479e+18,
2219
+ "train_batch_size": 1,
2220
+ "trial_name": null,
2221
+ "trial_params": null
2222
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e9368167a7c8c2e5afaeb29db0e275336ff5bb5ad11c57c441e568b0c63b3082
3
+ size 5112
vocab.json ADDED
The diff for this file is too large to render. See raw diff