chchen commited on
Commit
9279660
·
verified ·
1 Parent(s): 1d3e88c

End of training

Browse files
README.md CHANGED
@@ -4,6 +4,7 @@ library_name: peft
4
  license: llama3.1
5
  tags:
6
  - llama-factory
 
7
  - generated_from_trainer
8
  model-index:
9
  - name: Llama-3.1-8B-Instruct-SFT-600
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  # Llama-3.1-8B-Instruct-SFT-600
17
 
18
- This model is a fine-tuned version of [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
  - Loss: 0.0599
21
 
 
4
  license: llama3.1
5
  tags:
6
  - llama-factory
7
+ - lora
8
  - generated_from_trainer
9
  model-index:
10
  - name: Llama-3.1-8B-Instruct-SFT-600
 
16
 
17
  # Llama-3.1-8B-Instruct-SFT-600
18
 
19
+ This model is a fine-tuned version of [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) on the bct_non_cot_sft_600 dataset.
20
  It achieves the following results on the evaluation set:
21
  - Loss: 0.0599
22
 
all_results.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 9.777777777777779,
3
+ "eval_loss": 0.059873927384614944,
4
+ "eval_runtime": 1.4711,
5
+ "eval_samples_per_second": 40.785,
6
+ "eval_steps_per_second": 20.393,
7
+ "total_flos": 2.980254892032e+16,
8
+ "train_loss": 0.33037761359503776,
9
+ "train_runtime": 478.3332,
10
+ "train_samples_per_second": 11.289,
11
+ "train_steps_per_second": 0.69
12
+ }
eval_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 9.777777777777779,
3
+ "eval_loss": 0.059873927384614944,
4
+ "eval_runtime": 1.4711,
5
+ "eval_samples_per_second": 40.785,
6
+ "eval_steps_per_second": 20.393
7
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 9.777777777777779,
3
+ "total_flos": 2.980254892032e+16,
4
+ "train_loss": 0.33037761359503776,
5
+ "train_runtime": 478.3332,
6
+ "train_samples_per_second": 11.289,
7
+ "train_steps_per_second": 0.69
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,321 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.059873927384614944,
3
+ "best_model_checkpoint": "saves/Llama-3.1-8B-Instruct/lora/sft-600/checkpoint-300",
4
+ "epoch": 9.777777777777779,
5
+ "eval_steps": 50,
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": 0.2962962962962963,
13
+ "grad_norm": 6.189852714538574,
14
+ "learning_rate": 1.2121212121212122e-06,
15
+ "loss": 1.6653,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.5925925925925926,
20
+ "grad_norm": 6.125744342803955,
21
+ "learning_rate": 2.7272727272727272e-06,
22
+ "loss": 1.6705,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.8888888888888888,
27
+ "grad_norm": 6.1585564613342285,
28
+ "learning_rate": 4.242424242424243e-06,
29
+ "loss": 1.5233,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 1.1851851851851851,
34
+ "grad_norm": 4.542370319366455,
35
+ "learning_rate": 4.996504288113624e-06,
36
+ "loss": 1.2046,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 1.4814814814814814,
41
+ "grad_norm": 3.5093865394592285,
42
+ "learning_rate": 4.968597221690986e-06,
43
+ "loss": 0.996,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 1.4814814814814814,
48
+ "eval_loss": 0.7777566909790039,
49
+ "eval_runtime": 1.4531,
50
+ "eval_samples_per_second": 41.29,
51
+ "eval_steps_per_second": 20.645,
52
+ "step": 50
53
+ },
54
+ {
55
+ "epoch": 1.7777777777777777,
56
+ "grad_norm": 2.996188163757324,
57
+ "learning_rate": 4.913095046794282e-06,
58
+ "loss": 0.7068,
59
+ "step": 60
60
+ },
61
+ {
62
+ "epoch": 2.074074074074074,
63
+ "grad_norm": 2.828265428543091,
64
+ "learning_rate": 4.830618192112065e-06,
65
+ "loss": 0.4801,
66
+ "step": 70
67
+ },
68
+ {
69
+ "epoch": 2.3703703703703702,
70
+ "grad_norm": 1.7485547065734863,
71
+ "learning_rate": 4.7220886216373095e-06,
72
+ "loss": 0.3392,
73
+ "step": 80
74
+ },
75
+ {
76
+ "epoch": 2.6666666666666665,
77
+ "grad_norm": 1.9241418838500977,
78
+ "learning_rate": 4.588719528532342e-06,
79
+ "loss": 0.2073,
80
+ "step": 90
81
+ },
82
+ {
83
+ "epoch": 2.962962962962963,
84
+ "grad_norm": 0.8280075788497925,
85
+ "learning_rate": 4.432001773500958e-06,
86
+ "loss": 0.1326,
87
+ "step": 100
88
+ },
89
+ {
90
+ "epoch": 2.962962962962963,
91
+ "eval_loss": 0.08797858655452728,
92
+ "eval_runtime": 1.454,
93
+ "eval_samples_per_second": 41.265,
94
+ "eval_steps_per_second": 20.633,
95
+ "step": 100
96
+ },
97
+ {
98
+ "epoch": 3.259259259259259,
99
+ "grad_norm": 0.9453921914100647,
100
+ "learning_rate": 4.253687219265803e-06,
101
+ "loss": 0.128,
102
+ "step": 110
103
+ },
104
+ {
105
+ "epoch": 3.5555555555555554,
106
+ "grad_norm": 1.1997650861740112,
107
+ "learning_rate": 4.055769147445842e-06,
108
+ "loss": 0.1056,
109
+ "step": 120
110
+ },
111
+ {
112
+ "epoch": 3.851851851851852,
113
+ "grad_norm": 1.073952078819275,
114
+ "learning_rate": 3.840459976743024e-06,
115
+ "loss": 0.094,
116
+ "step": 130
117
+ },
118
+ {
119
+ "epoch": 4.148148148148148,
120
+ "grad_norm": 0.5060385465621948,
121
+ "learning_rate": 3.6101665315144357e-06,
122
+ "loss": 0.0811,
123
+ "step": 140
124
+ },
125
+ {
126
+ "epoch": 4.444444444444445,
127
+ "grad_norm": 0.7095502614974976,
128
+ "learning_rate": 3.3674631371891564e-06,
129
+ "loss": 0.0931,
130
+ "step": 150
131
+ },
132
+ {
133
+ "epoch": 4.444444444444445,
134
+ "eval_loss": 0.06363307684659958,
135
+ "eval_runtime": 1.4518,
136
+ "eval_samples_per_second": 41.328,
137
+ "eval_steps_per_second": 20.664,
138
+ "step": 150
139
+ },
140
+ {
141
+ "epoch": 4.7407407407407405,
142
+ "grad_norm": 0.8627045154571533,
143
+ "learning_rate": 3.115062843281534e-06,
144
+ "loss": 0.0983,
145
+ "step": 160
146
+ },
147
+ {
148
+ "epoch": 5.037037037037037,
149
+ "grad_norm": 0.855678915977478,
150
+ "learning_rate": 2.8557870956832135e-06,
151
+ "loss": 0.0866,
152
+ "step": 170
153
+ },
154
+ {
155
+ "epoch": 5.333333333333333,
156
+ "grad_norm": 1.1568437814712524,
157
+ "learning_rate": 2.5925341972508954e-06,
158
+ "loss": 0.1014,
159
+ "step": 180
160
+ },
161
+ {
162
+ "epoch": 5.62962962962963,
163
+ "grad_norm": 0.4954282343387604,
164
+ "learning_rate": 2.3282469092517977e-06,
165
+ "loss": 0.0765,
166
+ "step": 190
167
+ },
168
+ {
169
+ "epoch": 5.925925925925926,
170
+ "grad_norm": 1.1054996252059937,
171
+ "learning_rate": 2.0658795558326745e-06,
172
+ "loss": 0.0915,
173
+ "step": 200
174
+ },
175
+ {
176
+ "epoch": 5.925925925925926,
177
+ "eval_loss": 0.06135586276650429,
178
+ "eval_runtime": 1.4559,
179
+ "eval_samples_per_second": 41.211,
180
+ "eval_steps_per_second": 20.605,
181
+ "step": 200
182
+ },
183
+ {
184
+ "epoch": 6.222222222222222,
185
+ "grad_norm": 0.9405269622802734,
186
+ "learning_rate": 1.8083649992336827e-06,
187
+ "loss": 0.0574,
188
+ "step": 210
189
+ },
190
+ {
191
+ "epoch": 6.518518518518518,
192
+ "grad_norm": 0.7912412881851196,
193
+ "learning_rate": 1.5585818549132532e-06,
194
+ "loss": 0.1016,
195
+ "step": 220
196
+ },
197
+ {
198
+ "epoch": 6.814814814814815,
199
+ "grad_norm": 0.7758650183677673,
200
+ "learning_rate": 1.3193223130682937e-06,
201
+ "loss": 0.068,
202
+ "step": 230
203
+ },
204
+ {
205
+ "epoch": 7.111111111111111,
206
+ "grad_norm": 0.689277708530426,
207
+ "learning_rate": 1.0932609262554748e-06,
208
+ "loss": 0.0962,
209
+ "step": 240
210
+ },
211
+ {
212
+ "epoch": 7.407407407407407,
213
+ "grad_norm": 1.6058521270751953,
214
+ "learning_rate": 8.829247120198564e-07,
215
+ "loss": 0.0888,
216
+ "step": 250
217
+ },
218
+ {
219
+ "epoch": 7.407407407407407,
220
+ "eval_loss": 0.060000352561473846,
221
+ "eval_runtime": 1.4511,
222
+ "eval_samples_per_second": 41.348,
223
+ "eval_steps_per_second": 20.674,
224
+ "step": 250
225
+ },
226
+ {
227
+ "epoch": 7.703703703703704,
228
+ "grad_norm": 0.9326350688934326,
229
+ "learning_rate": 6.906649047373246e-07,
230
+ "loss": 0.0556,
231
+ "step": 260
232
+ },
233
+ {
234
+ "epoch": 8.0,
235
+ "grad_norm": 0.48831021785736084,
236
+ "learning_rate": 5.186306724416714e-07,
237
+ "loss": 0.0962,
238
+ "step": 270
239
+ },
240
+ {
241
+ "epoch": 8.296296296296296,
242
+ "grad_norm": 0.5553194880485535,
243
+ "learning_rate": 3.6874509244163414e-07,
244
+ "loss": 0.0854,
245
+ "step": 280
246
+ },
247
+ {
248
+ "epoch": 8.592592592592592,
249
+ "grad_norm": 1.4299075603485107,
250
+ "learning_rate": 2.4268365428344737e-07,
251
+ "loss": 0.0715,
252
+ "step": 290
253
+ },
254
+ {
255
+ "epoch": 8.88888888888889,
256
+ "grad_norm": 0.6290613412857056,
257
+ "learning_rate": 1.4185553036259097e-07,
258
+ "loss": 0.0653,
259
+ "step": 300
260
+ },
261
+ {
262
+ "epoch": 8.88888888888889,
263
+ "eval_loss": 0.059873927384614944,
264
+ "eval_runtime": 1.4538,
265
+ "eval_samples_per_second": 41.271,
266
+ "eval_steps_per_second": 20.636,
267
+ "step": 300
268
+ },
269
+ {
270
+ "epoch": 9.185185185185185,
271
+ "grad_norm": 1.0468003749847412,
272
+ "learning_rate": 6.738782355044048e-08,
273
+ "loss": 0.0858,
274
+ "step": 310
275
+ },
276
+ {
277
+ "epoch": 9.481481481481481,
278
+ "grad_norm": 0.9963248372077942,
279
+ "learning_rate": 2.011296792301165e-08,
280
+ "loss": 0.072,
281
+ "step": 320
282
+ },
283
+ {
284
+ "epoch": 9.777777777777779,
285
+ "grad_norm": 0.6986972093582153,
286
+ "learning_rate": 5.59423432245354e-10,
287
+ "loss": 0.0773,
288
+ "step": 330
289
+ },
290
+ {
291
+ "epoch": 9.777777777777779,
292
+ "step": 330,
293
+ "total_flos": 2.980254892032e+16,
294
+ "train_loss": 0.33037761359503776,
295
+ "train_runtime": 478.3332,
296
+ "train_samples_per_second": 11.289,
297
+ "train_steps_per_second": 0.69
298
+ }
299
+ ],
300
+ "logging_steps": 10,
301
+ "max_steps": 330,
302
+ "num_input_tokens_seen": 0,
303
+ "num_train_epochs": 10,
304
+ "save_steps": 50,
305
+ "stateful_callbacks": {
306
+ "TrainerControl": {
307
+ "args": {
308
+ "should_epoch_stop": false,
309
+ "should_evaluate": false,
310
+ "should_log": false,
311
+ "should_save": true,
312
+ "should_training_stop": true
313
+ },
314
+ "attributes": {}
315
+ }
316
+ },
317
+ "total_flos": 2.980254892032e+16,
318
+ "train_batch_size": 2,
319
+ "trial_name": null,
320
+ "trial_params": null
321
+ }
training_eval_loss.png ADDED
training_loss.png ADDED