AlekseyKorshuk commited on
Commit
36de6eb
1 Parent(s): f56333f

End of training

Browse files
Files changed (3) hide show
  1. all_results.json +8 -0
  2. train_results.json +8 -0
  3. trainer_state.json +211 -0
all_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "train_loss": 2.5182421875,
4
+ "train_runtime": 15501.0618,
5
+ "train_samples": 599,
6
+ "train_samples_per_second": 0.039,
7
+ "train_steps_per_second": 0.005
8
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "train_loss": 2.5182421875,
4
+ "train_runtime": 15501.0618,
5
+ "train_samples": 599,
6
+ "train_samples_per_second": 0.039,
7
+ "train_steps_per_second": 0.005
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,211 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.0,
5
+ "global_step": 75,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.01,
12
+ "learning_rate": 1e-06,
13
+ "loss": 2.718,
14
+ "step": 1
15
+ },
16
+ {
17
+ "epoch": 0.08,
18
+ "learning_rate": 1e-06,
19
+ "loss": 2.5852,
20
+ "step": 6
21
+ },
22
+ {
23
+ "epoch": 0.08,
24
+ "eval_accuracy": 0.26974484268246846,
25
+ "eval_loss": 2.595703125,
26
+ "eval_runtime": 73.3015,
27
+ "eval_samples_per_second": 4.966,
28
+ "eval_steps_per_second": 0.628,
29
+ "step": 6
30
+ },
31
+ {
32
+ "epoch": 0.16,
33
+ "learning_rate": 1e-06,
34
+ "loss": 2.5956,
35
+ "step": 12
36
+ },
37
+ {
38
+ "epoch": 0.16,
39
+ "eval_accuracy": 0.27058504875406286,
40
+ "eval_loss": 2.576171875,
41
+ "eval_runtime": 73.9801,
42
+ "eval_samples_per_second": 4.92,
43
+ "eval_steps_per_second": 0.622,
44
+ "step": 12
45
+ },
46
+ {
47
+ "epoch": 0.24,
48
+ "learning_rate": 1e-06,
49
+ "loss": 2.5961,
50
+ "step": 18
51
+ },
52
+ {
53
+ "epoch": 0.24,
54
+ "eval_accuracy": 0.27107148384814383,
55
+ "eval_loss": 2.5546875,
56
+ "eval_runtime": 73.8954,
57
+ "eval_samples_per_second": 4.926,
58
+ "eval_steps_per_second": 0.623,
59
+ "step": 18
60
+ },
61
+ {
62
+ "epoch": 0.32,
63
+ "learning_rate": 1e-06,
64
+ "loss": 2.5731,
65
+ "step": 24
66
+ },
67
+ {
68
+ "epoch": 0.32,
69
+ "eval_accuracy": 0.27218807349592056,
70
+ "eval_loss": 2.53125,
71
+ "eval_runtime": 73.9168,
72
+ "eval_samples_per_second": 4.924,
73
+ "eval_steps_per_second": 0.622,
74
+ "step": 24
75
+ },
76
+ {
77
+ "epoch": 0.4,
78
+ "learning_rate": 1e-06,
79
+ "loss": 2.5415,
80
+ "step": 30
81
+ },
82
+ {
83
+ "epoch": 0.4,
84
+ "eval_accuracy": 0.2733599398589338,
85
+ "eval_loss": 2.51171875,
86
+ "eval_runtime": 73.9155,
87
+ "eval_samples_per_second": 4.925,
88
+ "eval_steps_per_second": 0.622,
89
+ "step": 30
90
+ },
91
+ {
92
+ "epoch": 0.48,
93
+ "learning_rate": 1e-06,
94
+ "loss": 2.5168,
95
+ "step": 36
96
+ },
97
+ {
98
+ "epoch": 0.48,
99
+ "eval_accuracy": 0.2745704999226126,
100
+ "eval_loss": 2.49609375,
101
+ "eval_runtime": 73.8737,
102
+ "eval_samples_per_second": 4.927,
103
+ "eval_steps_per_second": 0.623,
104
+ "step": 36
105
+ },
106
+ {
107
+ "epoch": 0.56,
108
+ "learning_rate": 1e-06,
109
+ "loss": 2.4972,
110
+ "step": 42
111
+ },
112
+ {
113
+ "epoch": 0.56,
114
+ "eval_accuracy": 0.2755544254538218,
115
+ "eval_loss": 2.482421875,
116
+ "eval_runtime": 73.9197,
117
+ "eval_samples_per_second": 4.924,
118
+ "eval_steps_per_second": 0.622,
119
+ "step": 42
120
+ },
121
+ {
122
+ "epoch": 0.64,
123
+ "learning_rate": 1e-06,
124
+ "loss": 2.4354,
125
+ "step": 48
126
+ },
127
+ {
128
+ "epoch": 0.64,
129
+ "eval_accuracy": 0.27611824794923384,
130
+ "eval_loss": 2.47265625,
131
+ "eval_runtime": 74.1261,
132
+ "eval_samples_per_second": 4.911,
133
+ "eval_steps_per_second": 0.621,
134
+ "step": 48
135
+ },
136
+ {
137
+ "epoch": 0.72,
138
+ "learning_rate": 1e-06,
139
+ "loss": 2.4055,
140
+ "step": 54
141
+ },
142
+ {
143
+ "epoch": 0.72,
144
+ "eval_accuracy": 0.2768423729188317,
145
+ "eval_loss": 2.4609375,
146
+ "eval_runtime": 73.8501,
147
+ "eval_samples_per_second": 4.929,
148
+ "eval_steps_per_second": 0.623,
149
+ "step": 54
150
+ },
151
+ {
152
+ "epoch": 0.8,
153
+ "learning_rate": 1e-06,
154
+ "loss": 2.4681,
155
+ "step": 60
156
+ },
157
+ {
158
+ "epoch": 0.8,
159
+ "eval_accuracy": 0.27778207707785174,
160
+ "eval_loss": 2.44921875,
161
+ "eval_runtime": 73.8512,
162
+ "eval_samples_per_second": 4.929,
163
+ "eval_steps_per_second": 0.623,
164
+ "step": 60
165
+ },
166
+ {
167
+ "epoch": 0.88,
168
+ "learning_rate": 1e-06,
169
+ "loss": 2.5866,
170
+ "step": 66
171
+ },
172
+ {
173
+ "epoch": 0.88,
174
+ "eval_accuracy": 0.27841223163154755,
175
+ "eval_loss": 2.435546875,
176
+ "eval_runtime": 73.8943,
177
+ "eval_samples_per_second": 4.926,
178
+ "eval_steps_per_second": 0.623,
179
+ "step": 66
180
+ },
181
+ {
182
+ "epoch": 0.96,
183
+ "learning_rate": 1e-06,
184
+ "loss": 2.4221,
185
+ "step": 72
186
+ },
187
+ {
188
+ "epoch": 0.96,
189
+ "eval_accuracy": 0.27929113140380746,
190
+ "eval_loss": 2.423828125,
191
+ "eval_runtime": 73.8857,
192
+ "eval_samples_per_second": 4.927,
193
+ "eval_steps_per_second": 0.623,
194
+ "step": 72
195
+ },
196
+ {
197
+ "epoch": 1.0,
198
+ "step": 75,
199
+ "total_flos": 4974649540608.0,
200
+ "train_loss": 2.5182421875,
201
+ "train_runtime": 15501.0618,
202
+ "train_samples_per_second": 0.039,
203
+ "train_steps_per_second": 0.005
204
+ }
205
+ ],
206
+ "max_steps": 75,
207
+ "num_train_epochs": 1,
208
+ "total_flos": 4974649540608.0,
209
+ "trial_name": null,
210
+ "trial_params": null
211
+ }