Plofski commited on
Commit
fe09261
·
verified ·
1 Parent(s): 6d44a1d

Training in progress, step 500, checkpoint

Browse files
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ last-checkpoint/tokenizer.json filter=lfs diff=lfs merge=lfs -text
last-checkpoint/added_tokens.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "<image_soft_token>": 262144
3
+ }
last-checkpoint/chat_template.jinja ADDED
@@ -0,0 +1,50 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {# Unsloth Chat template fixes #}
2
+ {{ bos_token }}
3
+ {%- if messages[0]['role'] == 'system' -%}
4
+ {%- if messages[0]['content'] is string -%}
5
+ {%- set first_user_prefix = messages[0]['content'] + '
6
+
7
+ ' -%}
8
+ {%- else -%}
9
+ {%- set first_user_prefix = messages[0]['content'][0]['text'] + '
10
+
11
+ ' -%}
12
+ {%- endif -%}
13
+ {%- set loop_messages = messages[1:] -%}
14
+ {%- else -%}
15
+ {%- set first_user_prefix = "" -%}
16
+ {%- set loop_messages = messages -%}
17
+ {%- endif -%}
18
+ {%- for message in loop_messages -%}
19
+ {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}
20
+ {{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }}
21
+ {%- endif -%}
22
+ {%- if (message['role'] == 'assistant') -%}
23
+ {%- set role = "model" -%}
24
+ {%- else -%}
25
+ {%- set role = message['role'] -%}
26
+ {%- endif -%}
27
+ {{ '<start_of_turn>' + role + '
28
+ ' + (first_user_prefix if loop.first else "") }}
29
+ {%- if message['content'] is string -%}
30
+ {{ message['content'] | trim }}
31
+ {%- elif message['content'] is iterable -%}
32
+ {%- for item in message['content'] -%}
33
+ {%- if item['type'] == 'image' -%}
34
+ {{ '<start_of_image>' }}
35
+ {%- elif item['type'] == 'text' -%}
36
+ {{ item['text'] | trim }}
37
+ {%- endif -%}
38
+ {%- endfor -%}
39
+ {%- elif message['content'] is defined -%}
40
+ {{ raise_exception("Invalid content type") }}
41
+ {%- endif -%}
42
+ {{ '<end_of_turn>
43
+ ' }}
44
+ {%- endfor -%}
45
+ {%- if add_generation_prompt -%}
46
+ {{'<start_of_turn>model
47
+ '}}
48
+ {%- endif -%}
49
+
50
+ {# Copyright 2025-present Unsloth. Apache 2.0 License. #}
last-checkpoint/config.json ADDED
@@ -0,0 +1,55 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_sliding_window_pattern": 6,
3
+ "architectures": [
4
+ "Gemma3ForCausalLM"
5
+ ],
6
+ "attention_bias": false,
7
+ "attention_dropout": 0.0,
8
+ "attn_logit_softcapping": null,
9
+ "bos_token_id": 2,
10
+ "eos_token_id": 106,
11
+ "final_logit_softcapping": null,
12
+ "head_dim": 256,
13
+ "hidden_activation": "gelu_pytorch_tanh",
14
+ "hidden_size": 640,
15
+ "initializer_range": 0.02,
16
+ "intermediate_size": 2048,
17
+ "layer_types": [
18
+ "sliding_attention",
19
+ "sliding_attention",
20
+ "sliding_attention",
21
+ "sliding_attention",
22
+ "sliding_attention",
23
+ "full_attention",
24
+ "sliding_attention",
25
+ "sliding_attention",
26
+ "sliding_attention",
27
+ "sliding_attention",
28
+ "sliding_attention",
29
+ "full_attention",
30
+ "sliding_attention",
31
+ "sliding_attention",
32
+ "sliding_attention",
33
+ "sliding_attention",
34
+ "sliding_attention",
35
+ "full_attention"
36
+ ],
37
+ "max_position_embeddings": 32768,
38
+ "model_type": "gemma3_text",
39
+ "num_attention_heads": 4,
40
+ "num_hidden_layers": 18,
41
+ "num_key_value_heads": 1,
42
+ "pad_token_id": 0,
43
+ "query_pre_attn_scalar": 256,
44
+ "rms_norm_eps": 1e-06,
45
+ "rope_local_base_freq": 10000.0,
46
+ "rope_scaling": null,
47
+ "rope_theta": 1000000.0,
48
+ "sliding_window": 512,
49
+ "torch_dtype": "bfloat16",
50
+ "transformers_version": "4.55.0",
51
+ "unsloth_fixed": true,
52
+ "use_bidirectional_attention": false,
53
+ "use_cache": true,
54
+ "vocab_size": 262144
55
+ }
last-checkpoint/generation_config.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 2,
3
+ "cache_implementation": "hybrid",
4
+ "do_sample": true,
5
+ "eos_token_id": [
6
+ 1,
7
+ 106
8
+ ],
9
+ "max_length": 32768,
10
+ "pad_token_id": 0,
11
+ "top_k": 64,
12
+ "top_p": 0.95,
13
+ "transformers_version": "4.55.0"
14
+ }
last-checkpoint/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c5868447b981ceff440b9a26d6ac08b1eb131c66c461c8f6cd15cd33c16c3425
3
+ size 536223056
last-checkpoint/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:02ceea59533679cf8e117ebd8d876b10849b1306fb9459e9ee4998596ecbdb03
3
+ size 1072594443
last-checkpoint/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:61c19bab1174704a4a4441475683bf1270277af15d2e2c95e964789128e482c4
3
+ size 14645
last-checkpoint/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:157bd2aed929bf3aecd89cca519b674ca176680d01354e1f32ab94471cfeb630
3
+ size 1465
last-checkpoint/special_tokens_map.json ADDED
@@ -0,0 +1,33 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "boi_token": "<start_of_image>",
3
+ "bos_token": {
4
+ "content": "<bos>",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false
9
+ },
10
+ "eoi_token": "<end_of_image>",
11
+ "eos_token": {
12
+ "content": "<end_of_turn>",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false
17
+ },
18
+ "image_token": "<image_soft_token>",
19
+ "pad_token": {
20
+ "content": "<pad>",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false
25
+ },
26
+ "unk_token": {
27
+ "content": "<unk>",
28
+ "lstrip": false,
29
+ "normalized": false,
30
+ "rstrip": false,
31
+ "single_word": false
32
+ }
33
+ }
last-checkpoint/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4667f2089529e8e7657cfb6d1c19910ae71ff5f28aa7ab2ff2763330affad795
3
+ size 33384568
last-checkpoint/tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1299c11d7cf632ef3b4e11937501358ada021bbdf7c47638d13c0ee982f2e79c
3
+ size 4689074
last-checkpoint/tokenizer_config.json ADDED
The diff for this file is too large to render. See raw diff
 
last-checkpoint/trainer_state.json ADDED
@@ -0,0 +1,484 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 0.10074551682450131,
6
+ "eval_steps": 500,
7
+ "global_step": 500,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.0020149103364900263,
14
+ "grad_norm": 18.375,
15
+ "learning_rate": 1.998791053798106e-05,
16
+ "loss": 1.9277,
17
+ "mean_token_accuracy": 0.679860633611679,
18
+ "num_tokens": 9373.0,
19
+ "step": 10
20
+ },
21
+ {
22
+ "epoch": 0.004029820672980053,
23
+ "grad_norm": 13.5625,
24
+ "learning_rate": 1.9974477802404462e-05,
25
+ "loss": 1.2796,
26
+ "mean_token_accuracy": 0.7233692526817321,
27
+ "num_tokens": 20789.0,
28
+ "step": 20
29
+ },
30
+ {
31
+ "epoch": 0.006044731009470079,
32
+ "grad_norm": 13.0,
33
+ "learning_rate": 1.996104506682786e-05,
34
+ "loss": 1.2607,
35
+ "mean_token_accuracy": 0.7299719333648682,
36
+ "num_tokens": 32661.0,
37
+ "step": 30
38
+ },
39
+ {
40
+ "epoch": 0.008059641345960105,
41
+ "grad_norm": 12.8125,
42
+ "learning_rate": 1.994761233125126e-05,
43
+ "loss": 1.2356,
44
+ "mean_token_accuracy": 0.7324558198451996,
45
+ "num_tokens": 43049.0,
46
+ "step": 40
47
+ },
48
+ {
49
+ "epoch": 0.01007455168245013,
50
+ "grad_norm": 12.125,
51
+ "learning_rate": 1.9934179595674662e-05,
52
+ "loss": 1.1324,
53
+ "mean_token_accuracy": 0.7531639993190765,
54
+ "num_tokens": 52956.0,
55
+ "step": 50
56
+ },
57
+ {
58
+ "epoch": 0.012089462018940157,
59
+ "grad_norm": 16.125,
60
+ "learning_rate": 1.992074686009806e-05,
61
+ "loss": 1.1775,
62
+ "mean_token_accuracy": 0.7408373892307282,
63
+ "num_tokens": 63513.0,
64
+ "step": 60
65
+ },
66
+ {
67
+ "epoch": 0.014104372355430184,
68
+ "grad_norm": 14.0625,
69
+ "learning_rate": 1.990731412452146e-05,
70
+ "loss": 1.2446,
71
+ "mean_token_accuracy": 0.7307547807693482,
72
+ "num_tokens": 74794.0,
73
+ "step": 70
74
+ },
75
+ {
76
+ "epoch": 0.01611928269192021,
77
+ "grad_norm": 11.875,
78
+ "learning_rate": 1.989388138894486e-05,
79
+ "loss": 1.2428,
80
+ "mean_token_accuracy": 0.7255984365940094,
81
+ "num_tokens": 86903.0,
82
+ "step": 80
83
+ },
84
+ {
85
+ "epoch": 0.018134193028410236,
86
+ "grad_norm": 14.4375,
87
+ "learning_rate": 1.988044865336826e-05,
88
+ "loss": 1.2766,
89
+ "mean_token_accuracy": 0.7225647568702698,
90
+ "num_tokens": 97159.0,
91
+ "step": 90
92
+ },
93
+ {
94
+ "epoch": 0.02014910336490026,
95
+ "grad_norm": 12.5625,
96
+ "learning_rate": 1.986701591779166e-05,
97
+ "loss": 1.1458,
98
+ "mean_token_accuracy": 0.7415299773216247,
99
+ "num_tokens": 107437.0,
100
+ "step": 100
101
+ },
102
+ {
103
+ "epoch": 0.02216401370139029,
104
+ "grad_norm": 16.75,
105
+ "learning_rate": 1.985358318221506e-05,
106
+ "loss": 1.2748,
107
+ "mean_token_accuracy": 0.7202155470848084,
108
+ "num_tokens": 117867.0,
109
+ "step": 110
110
+ },
111
+ {
112
+ "epoch": 0.024178924037880314,
113
+ "grad_norm": 18.125,
114
+ "learning_rate": 1.984015044663846e-05,
115
+ "loss": 1.1689,
116
+ "mean_token_accuracy": 0.7355200052261353,
117
+ "num_tokens": 128288.0,
118
+ "step": 120
119
+ },
120
+ {
121
+ "epoch": 0.02619383437437034,
122
+ "grad_norm": 12.6875,
123
+ "learning_rate": 1.982671771106186e-05,
124
+ "loss": 1.2324,
125
+ "mean_token_accuracy": 0.7224856972694397,
126
+ "num_tokens": 139627.0,
127
+ "step": 130
128
+ },
129
+ {
130
+ "epoch": 0.028208744710860368,
131
+ "grad_norm": 11.5625,
132
+ "learning_rate": 1.981328497548526e-05,
133
+ "loss": 1.1365,
134
+ "mean_token_accuracy": 0.7402825653553009,
135
+ "num_tokens": 150498.0,
136
+ "step": 140
137
+ },
138
+ {
139
+ "epoch": 0.030223655047350393,
140
+ "grad_norm": 14.75,
141
+ "learning_rate": 1.979985223990866e-05,
142
+ "loss": 1.1178,
143
+ "mean_token_accuracy": 0.7426175236701965,
144
+ "num_tokens": 161754.0,
145
+ "step": 150
146
+ },
147
+ {
148
+ "epoch": 0.03223856538384042,
149
+ "grad_norm": 11.4375,
150
+ "learning_rate": 1.978641950433206e-05,
151
+ "loss": 1.2596,
152
+ "mean_token_accuracy": 0.7134447395801544,
153
+ "num_tokens": 173087.0,
154
+ "step": 160
155
+ },
156
+ {
157
+ "epoch": 0.03425347572033045,
158
+ "grad_norm": 12.75,
159
+ "learning_rate": 1.9772986768755458e-05,
160
+ "loss": 1.0652,
161
+ "mean_token_accuracy": 0.7474986433982849,
162
+ "num_tokens": 184747.0,
163
+ "step": 170
164
+ },
165
+ {
166
+ "epoch": 0.03626838605682047,
167
+ "grad_norm": 11.8125,
168
+ "learning_rate": 1.9759554033178857e-05,
169
+ "loss": 1.1436,
170
+ "mean_token_accuracy": 0.7323237180709838,
171
+ "num_tokens": 195331.0,
172
+ "step": 180
173
+ },
174
+ {
175
+ "epoch": 0.0382832963933105,
176
+ "grad_norm": 9.875,
177
+ "learning_rate": 1.974612129760226e-05,
178
+ "loss": 1.0312,
179
+ "mean_token_accuracy": 0.7625056743621826,
180
+ "num_tokens": 208260.0,
181
+ "step": 190
182
+ },
183
+ {
184
+ "epoch": 0.04029820672980052,
185
+ "grad_norm": 14.9375,
186
+ "learning_rate": 1.9732688562025658e-05,
187
+ "loss": 1.0084,
188
+ "mean_token_accuracy": 0.7631498157978058,
189
+ "num_tokens": 218822.0,
190
+ "step": 200
191
+ },
192
+ {
193
+ "epoch": 0.04231311706629055,
194
+ "grad_norm": 11.625,
195
+ "learning_rate": 1.9719255826449057e-05,
196
+ "loss": 0.9813,
197
+ "mean_token_accuracy": 0.7651655077934265,
198
+ "num_tokens": 228580.0,
199
+ "step": 210
200
+ },
201
+ {
202
+ "epoch": 0.04432802740278058,
203
+ "grad_norm": 17.875,
204
+ "learning_rate": 1.970582309087246e-05,
205
+ "loss": 1.07,
206
+ "mean_token_accuracy": 0.7532146275043488,
207
+ "num_tokens": 239159.0,
208
+ "step": 220
209
+ },
210
+ {
211
+ "epoch": 0.046342937739270604,
212
+ "grad_norm": 11.25,
213
+ "learning_rate": 1.9692390355295858e-05,
214
+ "loss": 1.113,
215
+ "mean_token_accuracy": 0.7436384916305542,
216
+ "num_tokens": 251695.0,
217
+ "step": 230
218
+ },
219
+ {
220
+ "epoch": 0.04835784807576063,
221
+ "grad_norm": 13.375,
222
+ "learning_rate": 1.9678957619719257e-05,
223
+ "loss": 0.929,
224
+ "mean_token_accuracy": 0.7755303025245667,
225
+ "num_tokens": 261128.0,
226
+ "step": 240
227
+ },
228
+ {
229
+ "epoch": 0.050372758412250654,
230
+ "grad_norm": 12.8125,
231
+ "learning_rate": 1.9665524884142656e-05,
232
+ "loss": 1.0999,
233
+ "mean_token_accuracy": 0.7514171898365021,
234
+ "num_tokens": 271560.0,
235
+ "step": 250
236
+ },
237
+ {
238
+ "epoch": 0.05238766874874068,
239
+ "grad_norm": 13.0,
240
+ "learning_rate": 1.9652092148566058e-05,
241
+ "loss": 1.0339,
242
+ "mean_token_accuracy": 0.7604846298694611,
243
+ "num_tokens": 282223.0,
244
+ "step": 260
245
+ },
246
+ {
247
+ "epoch": 0.054402579085230704,
248
+ "grad_norm": 12.9375,
249
+ "learning_rate": 1.9638659412989457e-05,
250
+ "loss": 1.0473,
251
+ "mean_token_accuracy": 0.7622893512248993,
252
+ "num_tokens": 292726.0,
253
+ "step": 270
254
+ },
255
+ {
256
+ "epoch": 0.056417489421720736,
257
+ "grad_norm": 15.0,
258
+ "learning_rate": 1.9625226677412856e-05,
259
+ "loss": 0.9894,
260
+ "mean_token_accuracy": 0.764206200838089,
261
+ "num_tokens": 303785.0,
262
+ "step": 280
263
+ },
264
+ {
265
+ "epoch": 0.05843239975821076,
266
+ "grad_norm": 10.3125,
267
+ "learning_rate": 1.9611793941836258e-05,
268
+ "loss": 1.109,
269
+ "mean_token_accuracy": 0.7469749927520752,
270
+ "num_tokens": 314725.0,
271
+ "step": 290
272
+ },
273
+ {
274
+ "epoch": 0.060447310094700786,
275
+ "grad_norm": 12.625,
276
+ "learning_rate": 1.9598361206259657e-05,
277
+ "loss": 1.2098,
278
+ "mean_token_accuracy": 0.718773603439331,
279
+ "num_tokens": 326635.0,
280
+ "step": 300
281
+ },
282
+ {
283
+ "epoch": 0.06246222043119081,
284
+ "grad_norm": 11.125,
285
+ "learning_rate": 1.9584928470683055e-05,
286
+ "loss": 1.1025,
287
+ "mean_token_accuracy": 0.7460452795028687,
288
+ "num_tokens": 337866.0,
289
+ "step": 310
290
+ },
291
+ {
292
+ "epoch": 0.06447713076768084,
293
+ "grad_norm": 10.6875,
294
+ "learning_rate": 1.9571495735106458e-05,
295
+ "loss": 1.0772,
296
+ "mean_token_accuracy": 0.7526730418205261,
297
+ "num_tokens": 348512.0,
298
+ "step": 320
299
+ },
300
+ {
301
+ "epoch": 0.06649204110417087,
302
+ "grad_norm": 13.375,
303
+ "learning_rate": 1.9558062999529857e-05,
304
+ "loss": 1.157,
305
+ "mean_token_accuracy": 0.7320702195167541,
306
+ "num_tokens": 360281.0,
307
+ "step": 330
308
+ },
309
+ {
310
+ "epoch": 0.0685069514406609,
311
+ "grad_norm": 12.0,
312
+ "learning_rate": 1.9544630263953255e-05,
313
+ "loss": 1.0157,
314
+ "mean_token_accuracy": 0.760700649023056,
315
+ "num_tokens": 371068.0,
316
+ "step": 340
317
+ },
318
+ {
319
+ "epoch": 0.07052186177715092,
320
+ "grad_norm": 17.375,
321
+ "learning_rate": 1.9531197528376654e-05,
322
+ "loss": 0.8851,
323
+ "mean_token_accuracy": 0.7925353944301605,
324
+ "num_tokens": 380947.0,
325
+ "step": 350
326
+ },
327
+ {
328
+ "epoch": 0.07253677211364094,
329
+ "grad_norm": 11.3125,
330
+ "learning_rate": 1.9517764792800056e-05,
331
+ "loss": 1.0325,
332
+ "mean_token_accuracy": 0.7617525398731232,
333
+ "num_tokens": 391552.0,
334
+ "step": 360
335
+ },
336
+ {
337
+ "epoch": 0.07455168245013097,
338
+ "grad_norm": 10.9375,
339
+ "learning_rate": 1.9504332057223455e-05,
340
+ "loss": 0.9852,
341
+ "mean_token_accuracy": 0.7655075788497925,
342
+ "num_tokens": 403321.0,
343
+ "step": 370
344
+ },
345
+ {
346
+ "epoch": 0.076566592786621,
347
+ "grad_norm": 11.1875,
348
+ "learning_rate": 1.9490899321646854e-05,
349
+ "loss": 1.0527,
350
+ "mean_token_accuracy": 0.7569321393966675,
351
+ "num_tokens": 414435.0,
352
+ "step": 380
353
+ },
354
+ {
355
+ "epoch": 0.07858150312311102,
356
+ "grad_norm": 14.6875,
357
+ "learning_rate": 1.9477466586070256e-05,
358
+ "loss": 0.9602,
359
+ "mean_token_accuracy": 0.7720924854278565,
360
+ "num_tokens": 423506.0,
361
+ "step": 390
362
+ },
363
+ {
364
+ "epoch": 0.08059641345960104,
365
+ "grad_norm": 11.0,
366
+ "learning_rate": 1.9464033850493655e-05,
367
+ "loss": 1.0475,
368
+ "mean_token_accuracy": 0.7505548059940338,
369
+ "num_tokens": 436556.0,
370
+ "step": 400
371
+ },
372
+ {
373
+ "epoch": 0.08261132379609107,
374
+ "grad_norm": 11.9375,
375
+ "learning_rate": 1.9450601114917054e-05,
376
+ "loss": 1.0775,
377
+ "mean_token_accuracy": 0.7474610984325409,
378
+ "num_tokens": 448248.0,
379
+ "step": 410
380
+ },
381
+ {
382
+ "epoch": 0.0846262341325811,
383
+ "grad_norm": 10.25,
384
+ "learning_rate": 1.9437168379340453e-05,
385
+ "loss": 1.0487,
386
+ "mean_token_accuracy": 0.7566307663917542,
387
+ "num_tokens": 460102.0,
388
+ "step": 420
389
+ },
390
+ {
391
+ "epoch": 0.08664114446907113,
392
+ "grad_norm": 12.0625,
393
+ "learning_rate": 1.9423735643763855e-05,
394
+ "loss": 0.9919,
395
+ "mean_token_accuracy": 0.7676237523555756,
396
+ "num_tokens": 471590.0,
397
+ "step": 430
398
+ },
399
+ {
400
+ "epoch": 0.08865605480556116,
401
+ "grad_norm": 13.125,
402
+ "learning_rate": 1.9410302908187254e-05,
403
+ "loss": 1.0473,
404
+ "mean_token_accuracy": 0.7525161623954773,
405
+ "num_tokens": 482096.0,
406
+ "step": 440
407
+ },
408
+ {
409
+ "epoch": 0.09067096514205118,
410
+ "grad_norm": 13.4375,
411
+ "learning_rate": 1.9396870172610653e-05,
412
+ "loss": 1.0347,
413
+ "mean_token_accuracy": 0.7515169024467468,
414
+ "num_tokens": 493585.0,
415
+ "step": 450
416
+ },
417
+ {
418
+ "epoch": 0.09268587547854121,
419
+ "grad_norm": 10.9375,
420
+ "learning_rate": 1.9383437437034055e-05,
421
+ "loss": 1.0487,
422
+ "mean_token_accuracy": 0.7547510921955108,
423
+ "num_tokens": 505989.0,
424
+ "step": 460
425
+ },
426
+ {
427
+ "epoch": 0.09470078581503123,
428
+ "grad_norm": 12.25,
429
+ "learning_rate": 1.9370004701457454e-05,
430
+ "loss": 1.018,
431
+ "mean_token_accuracy": 0.7596003413200378,
432
+ "num_tokens": 516900.0,
433
+ "step": 470
434
+ },
435
+ {
436
+ "epoch": 0.09671569615152126,
437
+ "grad_norm": 11.1875,
438
+ "learning_rate": 1.9356571965880853e-05,
439
+ "loss": 0.9797,
440
+ "mean_token_accuracy": 0.7699940800666809,
441
+ "num_tokens": 526427.0,
442
+ "step": 480
443
+ },
444
+ {
445
+ "epoch": 0.09873060648801128,
446
+ "grad_norm": 10.3125,
447
+ "learning_rate": 1.9343139230304255e-05,
448
+ "loss": 1.0817,
449
+ "mean_token_accuracy": 0.7470319092273712,
450
+ "num_tokens": 537981.0,
451
+ "step": 490
452
+ },
453
+ {
454
+ "epoch": 0.10074551682450131,
455
+ "grad_norm": 13.25,
456
+ "learning_rate": 1.9329706494727654e-05,
457
+ "loss": 1.0089,
458
+ "mean_token_accuracy": 0.7595715343952179,
459
+ "num_tokens": 549174.0,
460
+ "step": 500
461
+ }
462
+ ],
463
+ "logging_steps": 10,
464
+ "max_steps": 14889,
465
+ "num_input_tokens_seen": 0,
466
+ "num_train_epochs": 3,
467
+ "save_steps": 500,
468
+ "stateful_callbacks": {
469
+ "TrainerControl": {
470
+ "args": {
471
+ "should_epoch_stop": false,
472
+ "should_evaluate": false,
473
+ "should_log": false,
474
+ "should_save": true,
475
+ "should_training_stop": false
476
+ },
477
+ "attributes": {}
478
+ }
479
+ },
480
+ "total_flos": 668729881817088.0,
481
+ "train_batch_size": 8,
482
+ "trial_name": null,
483
+ "trial_params": null
484
+ }
last-checkpoint/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:653a5ec6a3e55d1c34c93c9f68e3f886bf0cb475016a1feb6de28b83cd0286ba
3
+ size 6097