KotshinZ commited on
Commit
d57d4e1
·
verified ·
1 Parent(s): 0850d7e

Model save

Browse files
README.md CHANGED
@@ -1,19 +1,15 @@
1
  ---
2
  base_model: openai-community/gpt2
3
- datasets: HuggingFaceFW/fineweb-edu
4
  library_name: transformers
5
  model_name: gpt2-RMT-2
6
  tags:
7
  - generated_from_trainer
8
- - open-r1
9
- - trl
10
- - sft
11
  licence: license
12
  ---
13
 
14
  # Model Card for gpt2-RMT-2
15
 
16
- This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on the [HuggingFaceFW/fineweb-edu](https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu) dataset.
17
  It has been trained using [TRL](https://github.com/huggingface/trl).
18
 
19
  ## Quick start
@@ -29,7 +25,7 @@ print(output["generated_text"])
29
 
30
  ## Training procedure
31
 
32
- [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/s18574s18574-/huggingface/runs/xxpt9481)
33
 
34
 
35
  This model was trained with SFT.
 
1
  ---
2
  base_model: openai-community/gpt2
 
3
  library_name: transformers
4
  model_name: gpt2-RMT-2
5
  tags:
6
  - generated_from_trainer
 
 
 
7
  licence: license
8
  ---
9
 
10
  # Model Card for gpt2-RMT-2
11
 
12
+ This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2).
13
  It has been trained using [TRL](https://github.com/huggingface/trl).
14
 
15
  ## Quick start
 
25
 
26
  ## Training procedure
27
 
28
+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/s18574s18574-/huggingface/runs/mbk8mzkf)
29
 
30
 
31
  This model was trained with SFT.
all_results.json CHANGED
@@ -3,10 +3,10 @@
3
  "eval_samples": 100,
4
  "eval_samples_per_second": 197.801,
5
  "eval_steps_per_second": 12.363,
6
- "total_flos": 5419400756723712.0,
7
- "train_loss": 3.609872159090909,
8
- "train_runtime": 919.7134,
9
- "train_samples": 19883,
10
- "train_samples_per_second": 11.494,
11
- "train_steps_per_second": 0.359
12
  }
 
3
  "eval_samples": 100,
4
  "eval_samples_per_second": 197.801,
5
  "eval_steps_per_second": 12.363,
6
+ "total_flos": 0.0,
7
+ "train_loss": 3.0202497909698995,
8
+ "train_runtime": 60.0371,
9
+ "train_samples": 16610,
10
+ "train_samples_per_second": 79.507,
11
+ "train_steps_per_second": 4.98
12
  }
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:585da17beba27ab616789ca4c8a12e9173b873bedfa95a97b6ec57e2b190642b
3
- size 248912768
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0b1cef2e205503013144a7bcad7ad852c288d9e54cc44a8aaf644d9d71ec6cbc
3
+ size 326110968
tokenizer_config.json CHANGED
@@ -11,6 +11,7 @@
11
  }
12
  },
13
  "bos_token": "<|endoftext|>",
 
14
  "clean_up_tokenization_spaces": false,
15
  "eos_token": "<|endoftext|>",
16
  "extra_special_tokens": {},
 
11
  }
12
  },
13
  "bos_token": "<|endoftext|>",
14
+ "chat_template": "{% for message in messages %}{{ message['role'] }}: {{ message['content'] }}\n{% endfor %}",
15
  "clean_up_tokenization_spaces": false,
16
  "eos_token": "<|endoftext|>",
17
  "extra_special_tokens": {},
train_results.json CHANGED
@@ -1,8 +1,8 @@
1
  {
2
- "total_flos": 5419400756723712.0,
3
- "train_loss": 3.609872159090909,
4
- "train_runtime": 919.7134,
5
- "train_samples": 19883,
6
- "train_samples_per_second": 11.494,
7
- "train_steps_per_second": 0.359
8
  }
 
1
  {
2
+ "total_flos": 0.0,
3
+ "train_loss": 3.0202497909698995,
4
+ "train_runtime": 60.0371,
5
+ "train_samples": 16610,
6
+ "train_samples_per_second": 79.507,
7
+ "train_steps_per_second": 4.98
8
  }
trainer_state.json CHANGED
@@ -1,310 +1,272 @@
1
  {
2
  "best_metric": null,
3
  "best_model_checkpoint": null,
4
- "epoch": 0.9984871406959153,
5
  "eval_steps": 100,
6
- "global_step": 330,
7
  "is_hyper_param_search": false,
8
  "is_local_process_zero": true,
9
  "is_world_process_zero": true,
10
  "log_history": [
11
  {
12
- "epoch": 0.030257186081694403,
13
- "grad_norm": 52.88699541505755,
14
- "learning_rate": 6.060606060606061e-06,
15
- "loss": 7.4,
16
- "mean_token_accuracy": 0.13546177372336388,
17
  "step": 10
18
  },
19
  {
20
- "epoch": 0.060514372163388806,
21
- "grad_norm": 26.843614632955404,
22
- "learning_rate": 1.2121212121212122e-05,
23
- "loss": 6.8156,
24
- "mean_token_accuracy": 0.14476052597165107,
25
  "step": 20
26
  },
27
  {
28
- "epoch": 0.0907715582450832,
29
- "grad_norm": 9.852827567927251,
30
- "learning_rate": 1.8181818181818182e-05,
31
- "loss": 5.6055,
32
- "mean_token_accuracy": 0.17639728486537934,
33
  "step": 30
34
  },
35
  {
36
- "epoch": 0.12102874432677761,
37
- "grad_norm": 4.231145666737617,
38
- "learning_rate": 1.9972599751485225e-05,
39
- "loss": 4.6,
40
- "mean_token_accuracy": 0.2488641396164894,
41
  "step": 40
42
  },
43
  {
44
- "epoch": 0.15128593040847202,
45
- "grad_norm": 3.2271685140325594,
46
- "learning_rate": 1.9838755799290993e-05,
47
- "loss": 3.9941,
48
- "mean_token_accuracy": 0.3051066160202026,
49
  "step": 50
50
  },
51
  {
52
- "epoch": 0.1815431164901664,
53
- "grad_norm": 1.885693756577763,
54
- "learning_rate": 1.9594929736144978e-05,
55
- "loss": 3.609,
56
- "mean_token_accuracy": 0.34526345133781433,
57
  "step": 60
58
  },
59
  {
60
- "epoch": 0.2118003025718608,
61
- "grad_norm": 1.1244069323463834,
62
- "learning_rate": 1.9243847161266924e-05,
63
- "loss": 3.3801,
64
- "mean_token_accuracy": 0.37311544418334963,
65
  "step": 70
66
  },
67
  {
68
- "epoch": 0.24205748865355523,
69
- "grad_norm": 0.9867146004226443,
70
- "learning_rate": 1.8789432636206197e-05,
71
- "loss": 3.3258,
72
- "mean_token_accuracy": 0.3792398452758789,
73
  "step": 80
74
  },
75
  {
76
- "epoch": 0.2723146747352496,
77
- "grad_norm": 0.8107915407779778,
78
- "learning_rate": 1.8236765814298328e-05,
79
- "loss": 3.2719,
80
- "mean_token_accuracy": 0.38700797259807584,
81
  "step": 90
82
  },
83
  {
84
- "epoch": 0.30257186081694404,
85
- "grad_norm": 0.8941659318929186,
86
- "learning_rate": 1.7592024657977432e-05,
87
- "loss": 3.2785,
88
- "mean_token_accuracy": 0.38543802350759504,
89
  "step": 100
90
  },
91
  {
92
- "epoch": 0.30257186081694404,
93
- "eval_runtime": 0.237,
94
- "eval_samples_per_second": 202.542,
95
- "eval_steps_per_second": 12.659,
96
  "step": 100
97
  },
98
  {
99
- "epoch": 0.3328290468986384,
100
- "grad_norm": 0.7913271033960183,
101
- "learning_rate": 1.686241637868734e-05,
102
- "loss": 3.25,
103
- "mean_token_accuracy": 0.3904023408889771,
104
  "step": 110
105
  },
106
  {
107
- "epoch": 0.3630862329803328,
108
- "grad_norm": 0.7385462564687278,
109
- "learning_rate": 1.6056096871376667e-05,
110
- "loss": 3.2746,
111
- "mean_token_accuracy": 0.3869674876332283,
112
  "step": 120
113
  },
114
  {
115
- "epoch": 0.39334341906202724,
116
- "grad_norm": 0.7171108615447848,
117
- "learning_rate": 1.5182079544175957e-05,
118
- "loss": 3.2488,
119
- "mean_token_accuracy": 0.39062655717134476,
120
  "step": 130
121
  },
122
  {
123
- "epoch": 0.4236006051437216,
124
- "grad_norm": 0.7917794437598532,
125
- "learning_rate": 1.4250134562400301e-05,
126
- "loss": 3.2227,
127
- "mean_token_accuracy": 0.39324862957000734,
128
  "step": 140
129
  },
130
  {
131
- "epoch": 0.45385779122541603,
132
- "grad_norm": 0.7618905726241425,
133
- "learning_rate": 1.3270679633174219e-05,
134
- "loss": 3.2133,
135
- "mean_token_accuracy": 0.39474184066057205,
136
  "step": 150
137
  },
138
  {
139
- "epoch": 0.48411497730711045,
140
- "grad_norm": 0.710429734736302,
141
- "learning_rate": 1.2254663551538047e-05,
142
- "loss": 3.1895,
143
- "mean_token_accuracy": 0.3969797551631927,
144
  "step": 160
145
  },
146
  {
147
- "epoch": 0.5143721633888049,
148
- "grad_norm": 0.7314245404422203,
149
- "learning_rate": 1.121344380981082e-05,
150
- "loss": 3.2254,
151
- "mean_token_accuracy": 0.39376401603221894,
152
  "step": 170
153
  },
154
  {
155
- "epoch": 0.5446293494704992,
156
- "grad_norm": 0.711095968768027,
157
- "learning_rate": 1.015865963834808e-05,
158
- "loss": 3.1969,
159
- "mean_token_accuracy": 0.39729384928941724,
160
  "step": 180
161
  },
162
  {
163
- "epoch": 0.5748865355521936,
164
- "grad_norm": 0.7048692336249331,
165
- "learning_rate": 9.102101896903084e-06,
166
- "loss": 3.2078,
167
- "mean_token_accuracy": 0.3967027798295021,
168
  "step": 190
169
  },
170
  {
171
- "epoch": 0.6051437216338881,
172
- "grad_norm": 0.714339105324786,
173
- "learning_rate": 8.055581271005292e-06,
174
- "loss": 3.2086,
175
- "mean_token_accuracy": 0.3946896642446518,
176
  "step": 200
177
  },
178
  {
179
- "epoch": 0.6051437216338881,
180
- "eval_runtime": 0.2292,
181
- "eval_samples_per_second": 209.454,
182
- "eval_steps_per_second": 13.091,
183
  "step": 200
184
  },
185
  {
186
- "epoch": 0.6354009077155824,
187
- "grad_norm": 0.732439534421158,
188
- "learning_rate": 7.0307962467172555e-06,
189
- "loss": 3.198,
190
- "mean_token_accuracy": 0.39805368781089784,
191
  "step": 210
192
  },
193
  {
194
- "epoch": 0.6656580937972768,
195
- "grad_norm": 0.7679520615376684,
196
- "learning_rate": 6.039202339608432e-06,
197
- "loss": 3.2008,
198
- "mean_token_accuracy": 0.39553126841783526,
199
  "step": 220
200
  },
201
  {
202
- "epoch": 0.6959152798789713,
203
- "grad_norm": 0.6598246730886332,
204
- "learning_rate": 5.091884039764321e-06,
205
- "loss": 3.1961,
206
- "mean_token_accuracy": 0.3962506249547005,
207
  "step": 230
208
  },
209
  {
210
- "epoch": 0.7261724659606656,
211
- "grad_norm": 0.6582768941498197,
212
- "learning_rate": 4.19943090428802e-06,
213
- "loss": 3.2105,
214
- "mean_token_accuracy": 0.3936332181096077,
215
  "step": 240
216
  },
217
  {
218
- "epoch": 0.75642965204236,
219
- "grad_norm": 0.7382830086371551,
220
- "learning_rate": 3.37181918238904e-06,
221
- "loss": 3.207,
222
- "mean_token_accuracy": 0.39551725089550016,
223
  "step": 250
224
  },
225
  {
226
- "epoch": 0.7866868381240545,
227
- "grad_norm": 0.6780081878254819,
228
- "learning_rate": 2.618300296308135e-06,
229
- "loss": 3.2203,
230
- "mean_token_accuracy": 0.393978887796402,
231
  "step": 260
232
  },
233
  {
234
- "epoch": 0.8169440242057489,
235
- "grad_norm": 0.6887657468672304,
236
- "learning_rate": 1.947297424689414e-06,
237
- "loss": 3.1984,
238
- "mean_token_accuracy": 0.39577416330575943,
239
  "step": 270
240
  },
241
  {
242
- "epoch": 0.8472012102874432,
243
- "grad_norm": 0.6760254781738906,
244
- "learning_rate": 1.3663113444380905e-06,
245
- "loss": 3.2012,
246
- "mean_token_accuracy": 0.39331402629613876,
247
  "step": 280
248
  },
249
  {
250
- "epoch": 0.8774583963691377,
251
- "grad_norm": 0.7014258527565755,
252
- "learning_rate": 8.818365836066101e-07,
253
- "loss": 3.1617,
254
- "mean_token_accuracy": 0.40136476159095763,
255
  "step": 290
256
  },
257
  {
258
- "epoch": 0.9077155824508321,
259
- "grad_norm": 0.674864858075726,
260
- "learning_rate": 4.992888225905467e-07,
261
- "loss": 3.2242,
262
- "mean_token_accuracy": 0.39469979852437975,
263
- "step": 300
264
- },
265
- {
266
- "epoch": 0.9077155824508321,
267
- "eval_runtime": 0.2285,
268
- "eval_samples_per_second": 210.05,
269
- "eval_steps_per_second": 13.128,
270
- "step": 300
271
- },
272
- {
273
- "epoch": 0.9379727685325264,
274
- "grad_norm": 0.6759875022616182,
275
- "learning_rate": 2.2294435517691504e-07,
276
- "loss": 3.1918,
277
- "mean_token_accuracy": 0.39749539494514463,
278
- "step": 310
279
- },
280
- {
281
- "epoch": 0.9682299546142209,
282
- "grad_norm": 0.6680457304280091,
283
- "learning_rate": 5.5892286176932875e-08,
284
- "loss": 3.1953,
285
- "mean_token_accuracy": 0.3963525503873825,
286
- "step": 320
287
- },
288
- {
289
- "epoch": 0.9984871406959153,
290
- "grad_norm": 0.6551428033391504,
291
- "learning_rate": 0.0,
292
- "loss": 3.2023,
293
- "mean_token_accuracy": 0.3949146747589111,
294
- "step": 330
295
- },
296
- {
297
- "epoch": 0.9984871406959153,
298
- "step": 330,
299
- "total_flos": 5419400756723712.0,
300
- "train_loss": 3.609872159090909,
301
- "train_runtime": 919.7134,
302
- "train_samples_per_second": 11.494,
303
- "train_steps_per_second": 0.359
304
  }
305
  ],
306
  "logging_steps": 10,
307
- "max_steps": 330,
308
  "num_input_tokens_seen": 0,
309
  "num_train_epochs": 1,
310
  "save_steps": 500,
@@ -320,7 +282,7 @@
320
  "attributes": {}
321
  }
322
  },
323
- "total_flos": 5419400756723712.0,
324
  "train_batch_size": 8,
325
  "trial_name": null,
326
  "trial_params": null
 
1
  {
2
  "best_metric": null,
3
  "best_model_checkpoint": null,
4
+ "epoch": 0.05010893246187364,
5
  "eval_steps": 100,
6
+ "global_step": 299,
7
  "is_hyper_param_search": false,
8
  "is_local_process_zero": true,
9
  "is_world_process_zero": true,
10
  "log_history": [
11
  {
12
+ "epoch": 0.0016758840288252053,
13
+ "grad_norm": 36.404178619384766,
14
+ "learning_rate": 6.666666666666667e-06,
15
+ "loss": 5.6828,
16
+ "mean_token_accuracy": 0.27888479083776474,
17
  "step": 10
18
  },
19
  {
20
+ "epoch": 0.0033517680576504107,
21
+ "grad_norm": 42.79513931274414,
22
+ "learning_rate": 1.3333333333333333e-05,
23
+ "loss": 5.425,
24
+ "mean_token_accuracy": 0.2772253334522247,
25
  "step": 20
26
  },
27
  {
28
+ "epoch": 0.005027652086475616,
29
+ "grad_norm": 17.52666664123535,
30
+ "learning_rate": 2e-05,
31
+ "loss": 4.6359,
32
+ "mean_token_accuracy": 0.2905010163784027,
33
  "step": 30
34
  },
35
  {
36
+ "epoch": 0.006703536115300821,
37
+ "grad_norm": 39.22002410888672,
38
+ "learning_rate": 1.9931880491250263e-05,
39
+ "loss": 4.1836,
40
+ "mean_token_accuracy": 0.29999364018440244,
41
  "step": 40
42
  },
43
  {
44
+ "epoch": 0.008379420144126026,
45
+ "grad_norm": 6.146772861480713,
46
+ "learning_rate": 1.9728450018495506e-05,
47
+ "loss": 3.9766,
48
+ "mean_token_accuracy": 0.30167217552661896,
49
  "step": 50
50
  },
51
  {
52
+ "epoch": 0.010055304172951232,
53
+ "grad_norm": 6.285459995269775,
54
+ "learning_rate": 1.9392480098509488e-05,
55
+ "loss": 3.7109,
56
+ "mean_token_accuracy": 0.32380467653274536,
57
  "step": 60
58
  },
59
  {
60
+ "epoch": 0.011731188201776438,
61
+ "grad_norm": 5.058553218841553,
62
+ "learning_rate": 1.8928547952473037e-05,
63
+ "loss": 3.5086,
64
+ "mean_token_accuracy": 0.345212359726429,
65
  "step": 70
66
  },
67
  {
68
+ "epoch": 0.013407072230601643,
69
+ "grad_norm": 15.02955150604248,
70
+ "learning_rate": 1.8342974146362397e-05,
71
+ "loss": 3.3859,
72
+ "mean_token_accuracy": 0.3557349964976311,
73
  "step": 80
74
  },
75
  {
76
+ "epoch": 0.015082956259426848,
77
+ "grad_norm": 4.372200965881348,
78
+ "learning_rate": 1.7643736480179353e-05,
79
+ "loss": 3.2352,
80
+ "mean_token_accuracy": 0.3736902341246605,
81
  "step": 90
82
  },
83
  {
84
+ "epoch": 0.01675884028825205,
85
+ "grad_norm": 3.283221960067749,
86
+ "learning_rate": 1.684036129918786e-05,
87
+ "loss": 3.0875,
88
+ "mean_token_accuracy": 0.3915310278534889,
89
  "step": 100
90
  },
91
  {
92
+ "epoch": 0.01675884028825205,
93
+ "eval_runtime": 2.7416,
94
+ "eval_samples_per_second": 208.276,
95
+ "eval_steps_per_second": 52.16,
96
  "step": 100
97
  },
98
  {
99
+ "epoch": 0.01843472431707726,
100
+ "grad_norm": 17.207765579223633,
101
+ "learning_rate": 1.5943793707922086e-05,
102
+ "loss": 2.9906,
103
+ "mean_token_accuracy": 0.40075025260448455,
104
  "step": 110
105
  },
106
  {
107
+ "epoch": 0.020110608345902465,
108
+ "grad_norm": 3.305183172225952,
109
+ "learning_rate": 1.4966248455157622e-05,
110
+ "loss": 2.8484,
111
+ "mean_token_accuracy": 0.42432604134082796,
112
  "step": 120
113
  },
114
  {
115
+ "epoch": 0.02178649237472767,
116
+ "grad_norm": 3.639101266860962,
117
+ "learning_rate": 1.392104352137426e-05,
118
+ "loss": 2.7719,
119
+ "mean_token_accuracy": 0.4330811306834221,
120
  "step": 130
121
  },
122
  {
123
+ "epoch": 0.023462376403552875,
124
+ "grad_norm": 2.6281790733337402,
125
+ "learning_rate": 1.2822418675898428e-05,
126
+ "loss": 2.6055,
127
+ "mean_token_accuracy": 0.46078331768512726,
128
  "step": 140
129
  },
130
  {
131
+ "epoch": 0.02513826043237808,
132
+ "grad_norm": 2.1558072566986084,
133
+ "learning_rate": 1.1685341475684935e-05,
134
+ "loss": 2.5195,
135
+ "mean_token_accuracy": 0.4750635787844658,
136
  "step": 150
137
  },
138
  {
139
+ "epoch": 0.026814144461203285,
140
+ "grad_norm": 3.083050489425659,
141
+ "learning_rate": 1.0525303348791599e-05,
142
+ "loss": 2.5078,
143
+ "mean_token_accuracy": 0.4781091034412384,
144
  "step": 160
145
  },
146
  {
147
+ "epoch": 0.02849002849002849,
148
+ "grad_norm": 1.9051162004470825,
149
+ "learning_rate": 9.358108540685406e-06,
150
+ "loss": 2.4273,
151
+ "mean_token_accuracy": 0.4916709065437317,
152
  "step": 170
153
  },
154
  {
155
+ "epoch": 0.030165912518853696,
156
+ "grad_norm": 1.8084359169006348,
157
+ "learning_rate": 8.199658798755048e-06,
158
+ "loss": 2.4664,
159
+ "mean_token_accuracy": 0.4778802111744881,
160
  "step": 180
161
  },
162
  {
163
+ "epoch": 0.0318417965476789,
164
+ "grad_norm": 1.7160115242004395,
165
+ "learning_rate": 7.065736728466832e-06,
166
+ "loss": 2.3969,
167
+ "mean_token_accuracy": 0.49128942042589185,
168
  "step": 190
169
  },
170
  {
171
+ "epoch": 0.0335176805765041,
172
+ "grad_norm": 1.6504725217819214,
173
+ "learning_rate": 5.971790772698467e-06,
174
+ "loss": 2.4383,
175
+ "mean_token_accuracy": 0.4894074246287346,
176
  "step": 200
177
  },
178
  {
179
+ "epoch": 0.0335176805765041,
180
+ "eval_runtime": 2.7088,
181
+ "eval_samples_per_second": 210.793,
182
+ "eval_steps_per_second": 52.79,
183
  "step": 200
184
  },
185
  {
186
+ "epoch": 0.03519356460532931,
187
+ "grad_norm": 1.851637363433838,
188
+ "learning_rate": 4.932724743671089e-06,
189
+ "loss": 2.3555,
190
+ "mean_token_accuracy": 0.5041772618889808,
191
  "step": 210
192
  },
193
  {
194
+ "epoch": 0.03686944863415452,
195
+ "grad_norm": 1.8771989345550537,
196
+ "learning_rate": 3.96269477487588e-06,
197
+ "loss": 2.3977,
198
+ "mean_token_accuracy": 0.4926373302936554,
199
  "step": 220
200
  },
201
  {
202
+ "epoch": 0.03854533266297972,
203
+ "grad_norm": 4.372796535491943,
204
+ "learning_rate": 3.074916459302211e-06,
205
+ "loss": 2.3508,
206
+ "mean_token_accuracy": 0.5035096645355225,
207
  "step": 230
208
  },
209
  {
210
+ "epoch": 0.04022121669180493,
211
+ "grad_norm": 1.8549838066101074,
212
+ "learning_rate": 2.281484801497186e-06,
213
+ "loss": 2.4258,
214
+ "mean_token_accuracy": 0.48886062651872636,
215
  "step": 240
216
  },
217
  {
218
+ "epoch": 0.04189710072063013,
219
+ "grad_norm": 1.7765941619873047,
220
+ "learning_rate": 1.5932094364120453e-06,
221
+ "loss": 2.3656,
222
+ "mean_token_accuracy": 0.4967192322015762,
223
  "step": 250
224
  },
225
  {
226
+ "epoch": 0.04357298474945534,
227
+ "grad_norm": 1.8978796005249023,
228
+ "learning_rate": 1.0194673599976134e-06,
229
+ "loss": 2.3398,
230
+ "mean_token_accuracy": 0.5044379487633706,
231
  "step": 260
232
  },
233
  {
234
+ "epoch": 0.04524886877828054,
235
+ "grad_norm": 2.0636632442474365,
236
+ "learning_rate": 5.680751779327742e-07,
237
+ "loss": 2.3687,
238
+ "mean_token_accuracy": 0.49782553166151045,
239
  "step": 270
240
  },
241
  {
242
+ "epoch": 0.04692475280710575,
243
+ "grad_norm": 1.694811224937439,
244
+ "learning_rate": 2.4518261295667255e-07,
245
+ "loss": 2.3867,
246
+ "mean_token_accuracy": 0.4927390620112419,
247
  "step": 280
248
  },
249
  {
250
+ "epoch": 0.04860063683593095,
251
+ "grad_norm": 2.2234456539154053,
252
+ "learning_rate": 5.518872165033329e-08,
253
+ "loss": 2.3953,
254
+ "mean_token_accuracy": 0.49295524060726165,
255
  "step": 290
256
  },
257
  {
258
+ "epoch": 0.05010893246187364,
259
+ "mean_token_accuracy": 0.4976404458284378,
260
+ "step": 299,
261
+ "total_flos": 0.0,
262
+ "train_loss": 3.0202497909698995,
263
+ "train_runtime": 60.0371,
264
+ "train_samples_per_second": 79.507,
265
+ "train_steps_per_second": 4.98
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
266
  }
267
  ],
268
  "logging_steps": 10,
269
+ "max_steps": 299,
270
  "num_input_tokens_seen": 0,
271
  "num_train_epochs": 1,
272
  "save_steps": 500,
 
282
  "attributes": {}
283
  }
284
  },
285
+ "total_flos": 0.0,
286
  "train_batch_size": 8,
287
  "trial_name": null,
288
  "trial_params": null
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:1189d0e125ab189d52bbe1c7c63f4aa7c75d5688e7d6e4ca9fc82551045c1eac
3
  size 7352
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bdd0e83665f82cbff34945a1dc5f700141602e90d62707ec1ecd8225c96d8e93
3
  size 7352