sedrickkeh commited on
Commit
ba048a1
·
verified ·
1 Parent(s): 65af394

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: deepspeed_no_offload
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  # deepspeed_no_offload
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: deepspeed_no_offload
 
16
 
17
  # deepspeed_no_offload
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 mlfoundations-dev/instruction_filtering_scale_up_code_base_gemini_length_1K dataset.
20
 
21
  ## Model description
22
 
all_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.875,
3
+ "total_flos": 29051356905472.0,
4
+ "train_loss": 0.8214895228544871,
5
+ "train_runtime": 980.7947,
6
+ "train_samples_per_second": 3.059,
7
+ "train_steps_per_second": 0.031
8
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.875,
3
+ "total_flos": 29051356905472.0,
4
+ "train_loss": 0.8214895228544871,
5
+ "train_runtime": 980.7947,
6
+ "train_samples_per_second": 3.059,
7
+ "train_steps_per_second": 0.031
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,252 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 2.875,
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": 0.09375,
13
+ "grad_norm": 5.848947847974621,
14
+ "learning_rate": 3.3333333333333333e-06,
15
+ "loss": 1.0596,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.1875,
20
+ "grad_norm": 5.629233229853796,
21
+ "learning_rate": 6.666666666666667e-06,
22
+ "loss": 1.0409,
23
+ "step": 2
24
+ },
25
+ {
26
+ "epoch": 0.28125,
27
+ "grad_norm": 5.124287513702501,
28
+ "learning_rate": 1e-05,
29
+ "loss": 1.0219,
30
+ "step": 3
31
+ },
32
+ {
33
+ "epoch": 0.375,
34
+ "grad_norm": 2.172807623744435,
35
+ "learning_rate": 9.966191788709716e-06,
36
+ "loss": 0.8987,
37
+ "step": 4
38
+ },
39
+ {
40
+ "epoch": 0.46875,
41
+ "grad_norm": 3.805373725353558,
42
+ "learning_rate": 9.86522435289912e-06,
43
+ "loss": 0.9111,
44
+ "step": 5
45
+ },
46
+ {
47
+ "epoch": 0.5625,
48
+ "grad_norm": 3.612298678500183,
49
+ "learning_rate": 9.698463103929542e-06,
50
+ "loss": 0.91,
51
+ "step": 6
52
+ },
53
+ {
54
+ "epoch": 0.65625,
55
+ "grad_norm": 3.071268661475005,
56
+ "learning_rate": 9.468163201617063e-06,
57
+ "loss": 0.8984,
58
+ "step": 7
59
+ },
60
+ {
61
+ "epoch": 0.75,
62
+ "grad_norm": 2.561115074733964,
63
+ "learning_rate": 9.177439057064684e-06,
64
+ "loss": 0.897,
65
+ "step": 8
66
+ },
67
+ {
68
+ "epoch": 0.84375,
69
+ "grad_norm": 1.9788120260785862,
70
+ "learning_rate": 8.83022221559489e-06,
71
+ "loss": 0.8387,
72
+ "step": 9
73
+ },
74
+ {
75
+ "epoch": 0.9375,
76
+ "grad_norm": 1.3824566280670403,
77
+ "learning_rate": 8.43120818934367e-06,
78
+ "loss": 0.8219,
79
+ "step": 10
80
+ },
81
+ {
82
+ "epoch": 1.0625,
83
+ "grad_norm": 2.545630937144125,
84
+ "learning_rate": 7.985792958513932e-06,
85
+ "loss": 1.3902,
86
+ "step": 11
87
+ },
88
+ {
89
+ "epoch": 1.15625,
90
+ "grad_norm": 1.2097063430470212,
91
+ "learning_rate": 7.500000000000001e-06,
92
+ "loss": 0.731,
93
+ "step": 12
94
+ },
95
+ {
96
+ "epoch": 1.25,
97
+ "grad_norm": 0.9935869176448624,
98
+ "learning_rate": 6.980398830195785e-06,
99
+ "loss": 0.7711,
100
+ "step": 13
101
+ },
102
+ {
103
+ "epoch": 1.34375,
104
+ "grad_norm": 0.896186899957696,
105
+ "learning_rate": 6.434016163555452e-06,
106
+ "loss": 0.7208,
107
+ "step": 14
108
+ },
109
+ {
110
+ "epoch": 1.4375,
111
+ "grad_norm": 0.8731827550593875,
112
+ "learning_rate": 5.8682408883346535e-06,
113
+ "loss": 0.768,
114
+ "step": 15
115
+ },
116
+ {
117
+ "epoch": 1.53125,
118
+ "grad_norm": 0.9568145439323135,
119
+ "learning_rate": 5.290724144552379e-06,
120
+ "loss": 0.7986,
121
+ "step": 16
122
+ },
123
+ {
124
+ "epoch": 1.625,
125
+ "grad_norm": 0.8194084736070346,
126
+ "learning_rate": 4.7092758554476215e-06,
127
+ "loss": 0.6938,
128
+ "step": 17
129
+ },
130
+ {
131
+ "epoch": 1.71875,
132
+ "grad_norm": 0.6317375108380635,
133
+ "learning_rate": 4.131759111665349e-06,
134
+ "loss": 0.7286,
135
+ "step": 18
136
+ },
137
+ {
138
+ "epoch": 1.8125,
139
+ "grad_norm": 0.6393803017408335,
140
+ "learning_rate": 3.5659838364445505e-06,
141
+ "loss": 0.7368,
142
+ "step": 19
143
+ },
144
+ {
145
+ "epoch": 1.90625,
146
+ "grad_norm": 0.6680807129989409,
147
+ "learning_rate": 3.019601169804216e-06,
148
+ "loss": 0.6755,
149
+ "step": 20
150
+ },
151
+ {
152
+ "epoch": 2.03125,
153
+ "grad_norm": 1.1768866366834774,
154
+ "learning_rate": 2.5000000000000015e-06,
155
+ "loss": 1.192,
156
+ "step": 21
157
+ },
158
+ {
159
+ "epoch": 2.125,
160
+ "grad_norm": 0.61326810252783,
161
+ "learning_rate": 2.0142070414860704e-06,
162
+ "loss": 0.6694,
163
+ "step": 22
164
+ },
165
+ {
166
+ "epoch": 2.21875,
167
+ "grad_norm": 0.5698711147962973,
168
+ "learning_rate": 1.5687918106563326e-06,
169
+ "loss": 0.6785,
170
+ "step": 23
171
+ },
172
+ {
173
+ "epoch": 2.3125,
174
+ "grad_norm": 0.5632280530521516,
175
+ "learning_rate": 1.1697777844051105e-06,
176
+ "loss": 0.7031,
177
+ "step": 24
178
+ },
179
+ {
180
+ "epoch": 2.40625,
181
+ "grad_norm": 0.5177730720085312,
182
+ "learning_rate": 8.225609429353187e-07,
183
+ "loss": 0.6561,
184
+ "step": 25
185
+ },
186
+ {
187
+ "epoch": 2.5,
188
+ "grad_norm": 0.4692665828108187,
189
+ "learning_rate": 5.318367983829393e-07,
190
+ "loss": 0.6628,
191
+ "step": 26
192
+ },
193
+ {
194
+ "epoch": 2.59375,
195
+ "grad_norm": 0.505366495274329,
196
+ "learning_rate": 3.015368960704584e-07,
197
+ "loss": 0.7112,
198
+ "step": 27
199
+ },
200
+ {
201
+ "epoch": 2.6875,
202
+ "grad_norm": 0.4709483095180629,
203
+ "learning_rate": 1.3477564710088097e-07,
204
+ "loss": 0.6845,
205
+ "step": 28
206
+ },
207
+ {
208
+ "epoch": 2.78125,
209
+ "grad_norm": 0.4473168765960649,
210
+ "learning_rate": 3.3808211290284886e-08,
211
+ "loss": 0.6777,
212
+ "step": 29
213
+ },
214
+ {
215
+ "epoch": 2.875,
216
+ "grad_norm": 0.516034185354372,
217
+ "learning_rate": 0.0,
218
+ "loss": 0.6966,
219
+ "step": 30
220
+ },
221
+ {
222
+ "epoch": 2.875,
223
+ "step": 30,
224
+ "total_flos": 29051356905472.0,
225
+ "train_loss": 0.8214895228544871,
226
+ "train_runtime": 980.7947,
227
+ "train_samples_per_second": 3.059,
228
+ "train_steps_per_second": 0.031
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": 29051356905472.0,
249
+ "train_batch_size": 1,
250
+ "trial_name": null,
251
+ "trial_params": null
252
+ }
training_loss.png ADDED