chchen commited on
Commit
2fe24e1
·
verified ·
1 Parent(s): 5b6a8e5

End of training

Browse files
README.md CHANGED
@@ -4,6 +4,7 @@ library_name: peft
4
  license: other
5
  tags:
6
  - llama-factory
 
7
  - generated_from_trainer
8
  model-index:
9
  - name: Ministral-8B-Instruct-2410-sft-1000
@@ -15,9 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  # Ministral-8B-Instruct-2410-sft-1000
17
 
18
- This model is a fine-tuned version of [mistralai/Ministral-8B-Instruct-2410](https://huggingface.co/mistralai/Ministral-8B-Instruct-2410) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 0.1897
21
 
22
  ## Model description
23
 
 
4
  license: other
5
  tags:
6
  - llama-factory
7
+ - lora
8
  - generated_from_trainer
9
  model-index:
10
  - name: Ministral-8B-Instruct-2410-sft-1000
 
16
 
17
  # Ministral-8B-Instruct-2410-sft-1000
18
 
19
+ This model is a fine-tuned version of [mistralai/Ministral-8B-Instruct-2410](https://huggingface.co/mistralai/Ministral-8B-Instruct-2410) on the bct_non_cot_sft_1000 dataset.
20
  It achieves the following results on the evaluation set:
21
+ - Loss: 0.0730
22
 
23
  ## Model description
24
 
all_results.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 9.955555555555556,
3
+ "eval_loss": 0.07303701341152191,
4
+ "eval_runtime": 2.3011,
5
+ "eval_samples_per_second": 43.457,
6
+ "eval_steps_per_second": 10.864,
7
+ "total_flos": 5.590602537998746e+16,
8
+ "train_loss": 0.10414764762723021,
9
+ "train_runtime": 762.3102,
10
+ "train_samples_per_second": 11.806,
11
+ "train_steps_per_second": 0.367
12
+ }
eval_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 9.955555555555556,
3
+ "eval_loss": 0.07303701341152191,
4
+ "eval_runtime": 2.3011,
5
+ "eval_samples_per_second": 43.457,
6
+ "eval_steps_per_second": 10.864
7
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 9.955555555555556,
3
+ "total_flos": 5.590602537998746e+16,
4
+ "train_loss": 0.10414764762723021,
5
+ "train_runtime": 762.3102,
6
+ "train_samples_per_second": 11.806,
7
+ "train_steps_per_second": 0.367
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,278 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.07303701341152191,
3
+ "best_model_checkpoint": "saves/Ministral-8B-Instruct-2410/sft-1000/train/checkpoint-50",
4
+ "epoch": 9.955555555555556,
5
+ "eval_steps": 50,
6
+ "global_step": 280,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.35555555555555557,
13
+ "grad_norm": 5.454965591430664,
14
+ "learning_rate": 3.571428571428572e-05,
15
+ "loss": 2.0272,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.7111111111111111,
20
+ "grad_norm": 1.068017601966858,
21
+ "learning_rate": 7.142857142857143e-05,
22
+ "loss": 0.4176,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 1.0666666666666667,
27
+ "grad_norm": 1.4859881401062012,
28
+ "learning_rate": 9.998445910004082e-05,
29
+ "loss": 0.0971,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 1.4222222222222223,
34
+ "grad_norm": 0.8133116364479065,
35
+ "learning_rate": 9.944154131125642e-05,
36
+ "loss": 0.0592,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 1.7777777777777777,
41
+ "grad_norm": 0.5301327109336853,
42
+ "learning_rate": 9.81312123475006e-05,
43
+ "loss": 0.0691,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 1.7777777777777777,
48
+ "eval_loss": 0.07303701341152191,
49
+ "eval_runtime": 2.2373,
50
+ "eval_samples_per_second": 44.696,
51
+ "eval_steps_per_second": 11.174,
52
+ "step": 50
53
+ },
54
+ {
55
+ "epoch": 2.1333333333333333,
56
+ "grad_norm": 0.3665470778942108,
57
+ "learning_rate": 9.607381059352038e-05,
58
+ "loss": 0.0708,
59
+ "step": 60
60
+ },
61
+ {
62
+ "epoch": 2.488888888888889,
63
+ "grad_norm": 0.30413269996643066,
64
+ "learning_rate": 9.330127018922194e-05,
65
+ "loss": 0.0358,
66
+ "step": 70
67
+ },
68
+ {
69
+ "epoch": 2.8444444444444446,
70
+ "grad_norm": 0.5749717354774475,
71
+ "learning_rate": 8.985662536114613e-05,
72
+ "loss": 0.0317,
73
+ "step": 80
74
+ },
75
+ {
76
+ "epoch": 3.2,
77
+ "grad_norm": 0.29326656460762024,
78
+ "learning_rate": 8.579334246298593e-05,
79
+ "loss": 0.0285,
80
+ "step": 90
81
+ },
82
+ {
83
+ "epoch": 3.5555555555555554,
84
+ "grad_norm": 0.2154272347688675,
85
+ "learning_rate": 8.117449009293668e-05,
86
+ "loss": 0.0185,
87
+ "step": 100
88
+ },
89
+ {
90
+ "epoch": 3.5555555555555554,
91
+ "eval_loss": 0.0987556055188179,
92
+ "eval_runtime": 2.2603,
93
+ "eval_samples_per_second": 44.242,
94
+ "eval_steps_per_second": 11.061,
95
+ "step": 100
96
+ },
97
+ {
98
+ "epoch": 3.911111111111111,
99
+ "grad_norm": 0.3583829998970032,
100
+ "learning_rate": 7.60717601689749e-05,
101
+ "loss": 0.0172,
102
+ "step": 110
103
+ },
104
+ {
105
+ "epoch": 4.266666666666667,
106
+ "grad_norm": 0.04914231598377228,
107
+ "learning_rate": 7.056435515653059e-05,
108
+ "loss": 0.0063,
109
+ "step": 120
110
+ },
111
+ {
112
+ "epoch": 4.622222222222222,
113
+ "grad_norm": 0.16161295771598816,
114
+ "learning_rate": 6.473775872054521e-05,
115
+ "loss": 0.0087,
116
+ "step": 130
117
+ },
118
+ {
119
+ "epoch": 4.977777777777778,
120
+ "grad_norm": 0.3194357454776764,
121
+ "learning_rate": 5.868240888334653e-05,
122
+ "loss": 0.0099,
123
+ "step": 140
124
+ },
125
+ {
126
+ "epoch": 5.333333333333333,
127
+ "grad_norm": 0.10840409994125366,
128
+ "learning_rate": 5.249229428303486e-05,
129
+ "loss": 0.0054,
130
+ "step": 150
131
+ },
132
+ {
133
+ "epoch": 5.333333333333333,
134
+ "eval_loss": 0.14543628692626953,
135
+ "eval_runtime": 2.2648,
136
+ "eval_samples_per_second": 44.153,
137
+ "eval_steps_per_second": 11.038,
138
+ "step": 150
139
+ },
140
+ {
141
+ "epoch": 5.688888888888889,
142
+ "grad_norm": 0.16890129446983337,
143
+ "learning_rate": 4.626349532067879e-05,
144
+ "loss": 0.0032,
145
+ "step": 160
146
+ },
147
+ {
148
+ "epoch": 6.044444444444444,
149
+ "grad_norm": 0.14680124819278717,
150
+ "learning_rate": 4.0092692840030134e-05,
151
+ "loss": 0.0041,
152
+ "step": 170
153
+ },
154
+ {
155
+ "epoch": 6.4,
156
+ "grad_norm": 0.049324482679367065,
157
+ "learning_rate": 3.4075667487415785e-05,
158
+ "loss": 0.0018,
159
+ "step": 180
160
+ },
161
+ {
162
+ "epoch": 6.7555555555555555,
163
+ "grad_norm": 0.11419277638196945,
164
+ "learning_rate": 2.8305813044122097e-05,
165
+ "loss": 0.0013,
166
+ "step": 190
167
+ },
168
+ {
169
+ "epoch": 7.111111111111111,
170
+ "grad_norm": 0.009863507002592087,
171
+ "learning_rate": 2.2872686806712035e-05,
172
+ "loss": 0.0002,
173
+ "step": 200
174
+ },
175
+ {
176
+ "epoch": 7.111111111111111,
177
+ "eval_loss": 0.18249186873435974,
178
+ "eval_runtime": 2.2589,
179
+ "eval_samples_per_second": 44.27,
180
+ "eval_steps_per_second": 11.067,
181
+ "step": 200
182
+ },
183
+ {
184
+ "epoch": 7.466666666666667,
185
+ "grad_norm": 0.004697670228779316,
186
+ "learning_rate": 1.7860619515673033e-05,
187
+ "loss": 0.0001,
188
+ "step": 210
189
+ },
190
+ {
191
+ "epoch": 7.822222222222222,
192
+ "grad_norm": 0.012849841266870499,
193
+ "learning_rate": 1.3347406408508695e-05,
194
+ "loss": 0.0007,
195
+ "step": 220
196
+ },
197
+ {
198
+ "epoch": 8.177777777777777,
199
+ "grad_norm": 0.013538352213799953,
200
+ "learning_rate": 9.403099714207175e-06,
201
+ "loss": 0.0003,
202
+ "step": 230
203
+ },
204
+ {
205
+ "epoch": 8.533333333333333,
206
+ "grad_norm": 0.009252621792256832,
207
+ "learning_rate": 6.088921331488568e-06,
208
+ "loss": 0.0001,
209
+ "step": 240
210
+ },
211
+ {
212
+ "epoch": 8.88888888888889,
213
+ "grad_norm": 0.0053879632614552975,
214
+ "learning_rate": 3.4563125677897932e-06,
215
+ "loss": 0.0005,
216
+ "step": 250
217
+ },
218
+ {
219
+ "epoch": 8.88888888888889,
220
+ "eval_loss": 0.18974514305591583,
221
+ "eval_runtime": 2.2394,
222
+ "eval_samples_per_second": 44.654,
223
+ "eval_steps_per_second": 11.163,
224
+ "step": 250
225
+ },
226
+ {
227
+ "epoch": 9.244444444444444,
228
+ "grad_norm": 0.0849616751074791,
229
+ "learning_rate": 1.5461356885461075e-06,
230
+ "loss": 0.0002,
231
+ "step": 260
232
+ },
233
+ {
234
+ "epoch": 9.6,
235
+ "grad_norm": 0.0013617346994578838,
236
+ "learning_rate": 3.8803966999139684e-07,
237
+ "loss": 0.0003,
238
+ "step": 270
239
+ },
240
+ {
241
+ "epoch": 9.955555555555556,
242
+ "grad_norm": 0.010355186648666859,
243
+ "learning_rate": 0.0,
244
+ "loss": 0.0002,
245
+ "step": 280
246
+ },
247
+ {
248
+ "epoch": 9.955555555555556,
249
+ "step": 280,
250
+ "total_flos": 5.590602537998746e+16,
251
+ "train_loss": 0.10414764762723021,
252
+ "train_runtime": 762.3102,
253
+ "train_samples_per_second": 11.806,
254
+ "train_steps_per_second": 0.367
255
+ }
256
+ ],
257
+ "logging_steps": 10,
258
+ "max_steps": 280,
259
+ "num_input_tokens_seen": 0,
260
+ "num_train_epochs": 10,
261
+ "save_steps": 50,
262
+ "stateful_callbacks": {
263
+ "TrainerControl": {
264
+ "args": {
265
+ "should_epoch_stop": false,
266
+ "should_evaluate": false,
267
+ "should_log": false,
268
+ "should_save": true,
269
+ "should_training_stop": true
270
+ },
271
+ "attributes": {}
272
+ }
273
+ },
274
+ "total_flos": 5.590602537998746e+16,
275
+ "train_batch_size": 4,
276
+ "trial_name": null,
277
+ "trial_params": null
278
+ }
training_eval_loss.png ADDED
training_loss.png ADDED