sedrickkeh commited on
Commit
b686614
·
verified ·
1 Parent(s): 46a32a7

End of training

Browse files
Files changed (5) hide show
  1. README.md +2 -1
  2. all_results.json +8 -0
  3. train_results.json +8 -0
  4. trainer_state.json +252 -0
  5. training_loss.png +0 -0
README.md CHANGED
@@ -4,6 +4,7 @@ license: apache-2.0
4
  base_model: Qwen/Qwen2.5-7B-Instruct
5
  tags:
6
  - llama-factory
 
7
  - generated_from_trainer
8
  model-index:
9
  - name: Bespoke-Stratos-17k_sedrick
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  # Bespoke-Stratos-17k_sedrick
17
 
18
- This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on an unknown dataset.
19
 
20
  ## Model description
21
 
 
4
  base_model: Qwen/Qwen2.5-7B-Instruct
5
  tags:
6
  - llama-factory
7
+ - full
8
  - generated_from_trainer
9
  model-index:
10
  - name: Bespoke-Stratos-17k_sedrick
 
16
 
17
  # Bespoke-Stratos-17k_sedrick
18
 
19
+ This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the bespokelabs/Bespoke-Stratos-17k dataset.
20
 
21
  ## Model description
22
 
all_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.9221556886227544,
3
+ "total_flos": 7.719883132832317e+17,
4
+ "train_loss": 0.8285216629505158,
5
+ "train_runtime": 4905.9512,
6
+ "train_samples_per_second": 3.25,
7
+ "train_steps_per_second": 0.006
8
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.9221556886227544,
3
+ "total_flos": 7.719883132832317e+17,
4
+ "train_loss": 0.8285216629505158,
5
+ "train_runtime": 4905.9512,
6
+ "train_samples_per_second": 3.25,
7
+ "train_steps_per_second": 0.006
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,252 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 2.9221556886227544,
5
+ "eval_steps": 500,
6
+ "global_step": 30,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.09580838323353294,
13
+ "grad_norm": 6.092118256865555,
14
+ "learning_rate": 2.6666666666666667e-05,
15
+ "loss": 0.9282,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.19161676646706588,
20
+ "grad_norm": 6.0711467727842345,
21
+ "learning_rate": 5.333333333333333e-05,
22
+ "loss": 0.9226,
23
+ "step": 2
24
+ },
25
+ {
26
+ "epoch": 0.2874251497005988,
27
+ "grad_norm": 6.905663723425974,
28
+ "learning_rate": 8e-05,
29
+ "loss": 0.9058,
30
+ "step": 3
31
+ },
32
+ {
33
+ "epoch": 0.38323353293413176,
34
+ "grad_norm": 8.1023220637387,
35
+ "learning_rate": 7.972953430967773e-05,
36
+ "loss": 0.961,
37
+ "step": 4
38
+ },
39
+ {
40
+ "epoch": 0.47904191616766467,
41
+ "grad_norm": 7.64825728038495,
42
+ "learning_rate": 7.892179482319297e-05,
43
+ "loss": 0.9535,
44
+ "step": 5
45
+ },
46
+ {
47
+ "epoch": 0.5748502994011976,
48
+ "grad_norm": 7.401853508914865,
49
+ "learning_rate": 7.758770483143634e-05,
50
+ "loss": 0.8516,
51
+ "step": 6
52
+ },
53
+ {
54
+ "epoch": 0.6706586826347305,
55
+ "grad_norm": 5.104892027037074,
56
+ "learning_rate": 7.57453056129365e-05,
57
+ "loss": 0.8037,
58
+ "step": 7
59
+ },
60
+ {
61
+ "epoch": 0.7664670658682635,
62
+ "grad_norm": 17.072975173094324,
63
+ "learning_rate": 7.341951245651747e-05,
64
+ "loss": 0.7848,
65
+ "step": 8
66
+ },
67
+ {
68
+ "epoch": 0.8622754491017964,
69
+ "grad_norm": 77.57628644353116,
70
+ "learning_rate": 7.064177772475912e-05,
71
+ "loss": 0.9585,
72
+ "step": 9
73
+ },
74
+ {
75
+ "epoch": 0.9580838323353293,
76
+ "grad_norm": 855.0346126388312,
77
+ "learning_rate": 6.744966551474936e-05,
78
+ "loss": 2.4753,
79
+ "step": 10
80
+ },
81
+ {
82
+ "epoch": 1.0778443113772456,
83
+ "grad_norm": 32.70725612303202,
84
+ "learning_rate": 6.388634366811146e-05,
85
+ "loss": 1.6476,
86
+ "step": 11
87
+ },
88
+ {
89
+ "epoch": 1.1736526946107784,
90
+ "grad_norm": 4.481076690988672,
91
+ "learning_rate": 6.000000000000001e-05,
92
+ "loss": 0.839,
93
+ "step": 12
94
+ },
95
+ {
96
+ "epoch": 1.2694610778443114,
97
+ "grad_norm": 1.9558613995916376,
98
+ "learning_rate": 5.584319064156628e-05,
99
+ "loss": 0.7537,
100
+ "step": 13
101
+ },
102
+ {
103
+ "epoch": 1.3652694610778444,
104
+ "grad_norm": 2.372911388804447,
105
+ "learning_rate": 5.1472129308443616e-05,
106
+ "loss": 0.7187,
107
+ "step": 14
108
+ },
109
+ {
110
+ "epoch": 1.4610778443113772,
111
+ "grad_norm": 1.25855371429305,
112
+ "learning_rate": 4.694592710667723e-05,
113
+ "loss": 0.6989,
114
+ "step": 15
115
+ },
116
+ {
117
+ "epoch": 1.55688622754491,
118
+ "grad_norm": 1.5943802076498133,
119
+ "learning_rate": 4.2325793156419035e-05,
120
+ "loss": 0.6719,
121
+ "step": 16
122
+ },
123
+ {
124
+ "epoch": 1.6526946107784433,
125
+ "grad_norm": 1.3815244957013615,
126
+ "learning_rate": 3.767420684358097e-05,
127
+ "loss": 0.6559,
128
+ "step": 17
129
+ },
130
+ {
131
+ "epoch": 1.748502994011976,
132
+ "grad_norm": 0.9766584468675148,
133
+ "learning_rate": 3.305407289332279e-05,
134
+ "loss": 0.6433,
135
+ "step": 18
136
+ },
137
+ {
138
+ "epoch": 1.8443113772455089,
139
+ "grad_norm": 1.1460122230416192,
140
+ "learning_rate": 2.8527870691556404e-05,
141
+ "loss": 0.6438,
142
+ "step": 19
143
+ },
144
+ {
145
+ "epoch": 1.9401197604790419,
146
+ "grad_norm": 0.8803600726680791,
147
+ "learning_rate": 2.4156809358433728e-05,
148
+ "loss": 0.6276,
149
+ "step": 20
150
+ },
151
+ {
152
+ "epoch": 2.059880239520958,
153
+ "grad_norm": 1.2634200332675958,
154
+ "learning_rate": 2.0000000000000012e-05,
155
+ "loss": 1.1023,
156
+ "step": 21
157
+ },
158
+ {
159
+ "epoch": 2.155688622754491,
160
+ "grad_norm": 0.6983275924487673,
161
+ "learning_rate": 1.6113656331888563e-05,
162
+ "loss": 0.6023,
163
+ "step": 22
164
+ },
165
+ {
166
+ "epoch": 2.251497005988024,
167
+ "grad_norm": 0.7061752632283301,
168
+ "learning_rate": 1.2550334485250661e-05,
169
+ "loss": 0.6064,
170
+ "step": 23
171
+ },
172
+ {
173
+ "epoch": 2.3473053892215567,
174
+ "grad_norm": 0.5099830797999658,
175
+ "learning_rate": 9.358222275240884e-06,
176
+ "loss": 0.5896,
177
+ "step": 24
178
+ },
179
+ {
180
+ "epoch": 2.44311377245509,
181
+ "grad_norm": 0.5764311304808725,
182
+ "learning_rate": 6.58048754348255e-06,
183
+ "loss": 0.5967,
184
+ "step": 25
185
+ },
186
+ {
187
+ "epoch": 2.538922155688623,
188
+ "grad_norm": 0.49769875157579624,
189
+ "learning_rate": 4.254694387063514e-06,
190
+ "loss": 0.5787,
191
+ "step": 26
192
+ },
193
+ {
194
+ "epoch": 2.6347305389221556,
195
+ "grad_norm": 0.41906641581877,
196
+ "learning_rate": 2.4122951685636674e-06,
197
+ "loss": 0.5932,
198
+ "step": 27
199
+ },
200
+ {
201
+ "epoch": 2.730538922155689,
202
+ "grad_norm": 0.33140868867277057,
203
+ "learning_rate": 1.0782051768070477e-06,
204
+ "loss": 0.5794,
205
+ "step": 28
206
+ },
207
+ {
208
+ "epoch": 2.8263473053892216,
209
+ "grad_norm": 0.29806851256209266,
210
+ "learning_rate": 2.704656903222791e-07,
211
+ "loss": 0.5819,
212
+ "step": 29
213
+ },
214
+ {
215
+ "epoch": 2.9221556886227544,
216
+ "grad_norm": 0.2754279265834988,
217
+ "learning_rate": 0.0,
218
+ "loss": 0.5796,
219
+ "step": 30
220
+ },
221
+ {
222
+ "epoch": 2.9221556886227544,
223
+ "step": 30,
224
+ "total_flos": 7.719883132832317e+17,
225
+ "train_loss": 0.8285216629505158,
226
+ "train_runtime": 4905.9512,
227
+ "train_samples_per_second": 3.25,
228
+ "train_steps_per_second": 0.006
229
+ }
230
+ ],
231
+ "logging_steps": 1.0,
232
+ "max_steps": 30,
233
+ "num_input_tokens_seen": 0,
234
+ "num_train_epochs": 3,
235
+ "save_steps": 500,
236
+ "stateful_callbacks": {
237
+ "TrainerControl": {
238
+ "args": {
239
+ "should_epoch_stop": false,
240
+ "should_evaluate": false,
241
+ "should_log": false,
242
+ "should_save": true,
243
+ "should_training_stop": true
244
+ },
245
+ "attributes": {}
246
+ }
247
+ },
248
+ "total_flos": 7.719883132832317e+17,
249
+ "train_batch_size": 1,
250
+ "trial_name": null,
251
+ "trial_params": null
252
+ }
training_loss.png ADDED