hoanbklucky
commited on
Commit
•
078f998
1
Parent(s):
4b74c6a
End of training
Browse files- README.md +2 -2
- all_results.json +10 -10
- eval_results.json +5 -5
- train_results.json +5 -5
- trainer_state.json +101 -101
README.md
CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
|
|
18 |
|
19 |
This model is a fine-tuned version of [facebook/dinov2-small-imagenet1k-1-layer](https://huggingface.co/facebook/dinov2-small-imagenet1k-1-layer) on an unknown dataset.
|
20 |
It achieves the following results on the evaluation set:
|
21 |
-
- Loss: 0.
|
22 |
-
- Accuracy: 0.
|
23 |
|
24 |
## Model description
|
25 |
|
|
|
18 |
|
19 |
This model is a fine-tuned version of [facebook/dinov2-small-imagenet1k-1-layer](https://huggingface.co/facebook/dinov2-small-imagenet1k-1-layer) on an unknown dataset.
|
20 |
It achieves the following results on the evaluation set:
|
21 |
+
- Loss: 0.3755
|
22 |
+
- Accuracy: 0.9080
|
23 |
|
24 |
## Model description
|
25 |
|
all_results.json
CHANGED
@@ -1,13 +1,13 @@
|
|
1 |
{
|
2 |
"epoch": 9.577777777777778,
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime":
|
6 |
-
"eval_samples_per_second": 9.
|
7 |
-
"eval_steps_per_second": 0.
|
8 |
-
"total_flos": 2.
|
9 |
-
"train_loss": 0.
|
10 |
-
"train_runtime":
|
11 |
-
"train_samples_per_second":
|
12 |
-
"train_steps_per_second": 0.
|
13 |
}
|
|
|
1 |
{
|
2 |
"epoch": 9.577777777777778,
|
3 |
+
"eval_accuracy": 0.9080459770114943,
|
4 |
+
"eval_loss": 0.37552881240844727,
|
5 |
+
"eval_runtime": 61.3305,
|
6 |
+
"eval_samples_per_second": 9.93,
|
7 |
+
"eval_steps_per_second": 0.636,
|
8 |
+
"total_flos": 2.7458744422511e+17,
|
9 |
+
"train_loss": 0.4097213279117237,
|
10 |
+
"train_runtime": 2363.2087,
|
11 |
+
"train_samples_per_second": 6.089,
|
12 |
+
"train_steps_per_second": 0.093
|
13 |
}
|
eval_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 9.577777777777778,
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime":
|
6 |
-
"eval_samples_per_second": 9.
|
7 |
-
"eval_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 9.577777777777778,
|
3 |
+
"eval_accuracy": 0.9080459770114943,
|
4 |
+
"eval_loss": 0.37552881240844727,
|
5 |
+
"eval_runtime": 61.3305,
|
6 |
+
"eval_samples_per_second": 9.93,
|
7 |
+
"eval_steps_per_second": 0.636
|
8 |
}
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 9.577777777777778,
|
3 |
-
"total_flos": 2.
|
4 |
-
"train_loss": 0.
|
5 |
-
"train_runtime":
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 9.577777777777778,
|
3 |
+
"total_flos": 2.7458744422511e+17,
|
4 |
+
"train_loss": 0.4097213279117237,
|
5 |
+
"train_runtime": 2363.2087,
|
6 |
+
"train_samples_per_second": 6.089,
|
7 |
+
"train_steps_per_second": 0.093
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,6 +1,6 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
-
"best_model_checkpoint": "dinov2-small-imagenet1k-1-layer-finetuned-noh\\checkpoint-
|
4 |
"epoch": 9.577777777777778,
|
5 |
"eval_steps": 500,
|
6 |
"global_step": 220,
|
@@ -10,256 +10,256 @@
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.4444444444444444,
|
13 |
-
"grad_norm":
|
14 |
"learning_rate": 2.272727272727273e-05,
|
15 |
-
"loss": 0.
|
16 |
"step": 10
|
17 |
},
|
18 |
{
|
19 |
"epoch": 0.8888888888888888,
|
20 |
-
"grad_norm":
|
21 |
"learning_rate": 4.545454545454546e-05,
|
22 |
-
"loss": 0.
|
23 |
"step": 20
|
24 |
},
|
25 |
{
|
26 |
"epoch": 1.0,
|
27 |
-
"eval_accuracy": 0.
|
28 |
-
"eval_loss":
|
29 |
-
"eval_runtime":
|
30 |
-
"eval_samples_per_second":
|
31 |
-
"eval_steps_per_second": 0.
|
32 |
"step": 23
|
33 |
},
|
34 |
{
|
35 |
"epoch": 1.3111111111111111,
|
36 |
-
"grad_norm":
|
37 |
"learning_rate": 4.797979797979798e-05,
|
38 |
-
"loss": 0.
|
39 |
"step": 30
|
40 |
},
|
41 |
{
|
42 |
"epoch": 1.7555555555555555,
|
43 |
-
"grad_norm":
|
44 |
"learning_rate": 4.545454545454546e-05,
|
45 |
-
"loss": 0.
|
46 |
"step": 40
|
47 |
},
|
48 |
{
|
49 |
"epoch": 2.0,
|
50 |
-
"eval_accuracy": 0.
|
51 |
-
"eval_loss": 0.
|
52 |
-
"eval_runtime":
|
53 |
-
"eval_samples_per_second":
|
54 |
-
"eval_steps_per_second": 0.
|
55 |
"step": 46
|
56 |
},
|
57 |
{
|
58 |
"epoch": 2.1777777777777776,
|
59 |
-
"grad_norm":
|
60 |
"learning_rate": 4.292929292929293e-05,
|
61 |
-
"loss": 0.
|
62 |
"step": 50
|
63 |
},
|
64 |
{
|
65 |
"epoch": 2.6222222222222222,
|
66 |
-
"grad_norm":
|
67 |
"learning_rate": 4.0404040404040405e-05,
|
68 |
-
"loss": 0.
|
69 |
"step": 60
|
70 |
},
|
71 |
{
|
72 |
"epoch": 3.0,
|
73 |
-
"eval_accuracy": 0.
|
74 |
-
"eval_loss": 0.
|
75 |
-
"eval_runtime":
|
76 |
-
"eval_samples_per_second": 8.
|
77 |
-
"eval_steps_per_second": 0.
|
78 |
"step": 69
|
79 |
},
|
80 |
{
|
81 |
"epoch": 3.0444444444444443,
|
82 |
-
"grad_norm":
|
83 |
"learning_rate": 3.787878787878788e-05,
|
84 |
-
"loss": 0.
|
85 |
"step": 70
|
86 |
},
|
87 |
{
|
88 |
"epoch": 3.488888888888889,
|
89 |
-
"grad_norm":
|
90 |
"learning_rate": 3.535353535353535e-05,
|
91 |
-
"loss": 0.
|
92 |
"step": 80
|
93 |
},
|
94 |
{
|
95 |
"epoch": 3.9333333333333336,
|
96 |
-
"grad_norm":
|
97 |
"learning_rate": 3.282828282828283e-05,
|
98 |
-
"loss": 0.
|
99 |
"step": 90
|
100 |
},
|
101 |
{
|
102 |
"epoch": 4.0,
|
103 |
"eval_accuracy": 0.8045977011494253,
|
104 |
-
"eval_loss": 0.
|
105 |
-
"eval_runtime":
|
106 |
-
"eval_samples_per_second": 9.
|
107 |
-
"eval_steps_per_second": 0.
|
108 |
"step": 92
|
109 |
},
|
110 |
{
|
111 |
"epoch": 4.355555555555555,
|
112 |
-
"grad_norm":
|
113 |
"learning_rate": 3.0303030303030306e-05,
|
114 |
-
"loss": 0.
|
115 |
"step": 100
|
116 |
},
|
117 |
{
|
118 |
"epoch": 4.8,
|
119 |
-
"grad_norm":
|
120 |
"learning_rate": 2.777777777777778e-05,
|
121 |
-
"loss": 0.
|
122 |
"step": 110
|
123 |
},
|
124 |
{
|
125 |
"epoch": 5.0,
|
126 |
-
"eval_accuracy": 0.
|
127 |
-
"eval_loss": 0.
|
128 |
-
"eval_runtime":
|
129 |
-
"eval_samples_per_second":
|
130 |
-
"eval_steps_per_second": 0.
|
131 |
"step": 115
|
132 |
},
|
133 |
{
|
134 |
"epoch": 5.222222222222222,
|
135 |
-
"grad_norm":
|
136 |
"learning_rate": 2.5252525252525256e-05,
|
137 |
-
"loss": 0.
|
138 |
"step": 120
|
139 |
},
|
140 |
{
|
141 |
"epoch": 5.666666666666667,
|
142 |
-
"grad_norm":
|
143 |
"learning_rate": 2.272727272727273e-05,
|
144 |
-
"loss": 0.
|
145 |
"step": 130
|
146 |
},
|
147 |
{
|
148 |
"epoch": 6.0,
|
149 |
-
"eval_accuracy": 0.
|
150 |
-
"eval_loss": 0.
|
151 |
-
"eval_runtime":
|
152 |
-
"eval_samples_per_second": 9.
|
153 |
-
"eval_steps_per_second": 0.
|
154 |
"step": 138
|
155 |
},
|
156 |
{
|
157 |
"epoch": 6.088888888888889,
|
158 |
-
"grad_norm":
|
159 |
"learning_rate": 2.0202020202020203e-05,
|
160 |
-
"loss": 0.
|
161 |
"step": 140
|
162 |
},
|
163 |
{
|
164 |
"epoch": 6.533333333333333,
|
165 |
-
"grad_norm":
|
166 |
"learning_rate": 1.7676767676767676e-05,
|
167 |
-
"loss": 0.
|
168 |
"step": 150
|
169 |
},
|
170 |
{
|
171 |
"epoch": 6.977777777777778,
|
172 |
-
"grad_norm":
|
173 |
"learning_rate": 1.5151515151515153e-05,
|
174 |
-
"loss": 0.
|
175 |
"step": 160
|
176 |
},
|
177 |
{
|
178 |
"epoch": 7.0,
|
179 |
-
"eval_accuracy": 0.
|
180 |
-
"eval_loss": 0.
|
181 |
-
"eval_runtime":
|
182 |
-
"eval_samples_per_second":
|
183 |
-
"eval_steps_per_second": 0.
|
184 |
"step": 161
|
185 |
},
|
186 |
{
|
187 |
"epoch": 7.4,
|
188 |
-
"grad_norm":
|
189 |
"learning_rate": 1.2626262626262628e-05,
|
190 |
-
"loss": 0.
|
191 |
"step": 170
|
192 |
},
|
193 |
{
|
194 |
"epoch": 7.844444444444444,
|
195 |
-
"grad_norm":
|
196 |
"learning_rate": 1.0101010101010101e-05,
|
197 |
-
"loss": 0.
|
198 |
"step": 180
|
199 |
},
|
200 |
{
|
201 |
"epoch": 8.0,
|
202 |
-
"eval_accuracy": 0.
|
203 |
-
"eval_loss": 0.
|
204 |
-
"eval_runtime":
|
205 |
-
"eval_samples_per_second":
|
206 |
-
"eval_steps_per_second": 0.
|
207 |
"step": 184
|
208 |
},
|
209 |
{
|
210 |
"epoch": 8.266666666666667,
|
211 |
-
"grad_norm":
|
212 |
"learning_rate": 7.5757575757575764e-06,
|
213 |
-
"loss": 0.
|
214 |
"step": 190
|
215 |
},
|
216 |
{
|
217 |
"epoch": 8.71111111111111,
|
218 |
-
"grad_norm":
|
219 |
"learning_rate": 5.050505050505051e-06,
|
220 |
-
"loss": 0.
|
221 |
"step": 200
|
222 |
},
|
223 |
{
|
224 |
"epoch": 9.0,
|
225 |
-
"eval_accuracy": 0.
|
226 |
-
"eval_loss": 0.
|
227 |
-
"eval_runtime":
|
228 |
-
"eval_samples_per_second":
|
229 |
-
"eval_steps_per_second": 0.
|
230 |
"step": 207
|
231 |
},
|
232 |
{
|
233 |
"epoch": 9.133333333333333,
|
234 |
-
"grad_norm":
|
235 |
"learning_rate": 2.5252525252525253e-06,
|
236 |
-
"loss": 0.
|
237 |
"step": 210
|
238 |
},
|
239 |
{
|
240 |
"epoch": 9.577777777777778,
|
241 |
-
"grad_norm":
|
242 |
"learning_rate": 0.0,
|
243 |
-
"loss": 0.
|
244 |
"step": 220
|
245 |
},
|
246 |
{
|
247 |
"epoch": 9.577777777777778,
|
248 |
-
"eval_accuracy": 0.
|
249 |
-
"eval_loss": 0.
|
250 |
-
"eval_runtime":
|
251 |
-
"eval_samples_per_second":
|
252 |
-
"eval_steps_per_second": 0.
|
253 |
"step": 220
|
254 |
},
|
255 |
{
|
256 |
"epoch": 9.577777777777778,
|
257 |
"step": 220,
|
258 |
-
"total_flos": 2.
|
259 |
-
"train_loss": 0.
|
260 |
-
"train_runtime":
|
261 |
-
"train_samples_per_second":
|
262 |
-
"train_steps_per_second": 0.
|
263 |
}
|
264 |
],
|
265 |
"logging_steps": 10,
|
@@ -279,7 +279,7 @@
|
|
279 |
"attributes": {}
|
280 |
}
|
281 |
},
|
282 |
-
"total_flos": 2.
|
283 |
"train_batch_size": 16,
|
284 |
"trial_name": null,
|
285 |
"trial_params": null
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.9080459770114943,
|
3 |
+
"best_model_checkpoint": "dinov2-small-imagenet1k-1-layer-finetuned-noh\\checkpoint-46",
|
4 |
"epoch": 9.577777777777778,
|
5 |
"eval_steps": 500,
|
6 |
"global_step": 220,
|
|
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 0.4444444444444444,
|
13 |
+
"grad_norm": 467.71881103515625,
|
14 |
"learning_rate": 2.272727272727273e-05,
|
15 |
+
"loss": 0.7354,
|
16 |
"step": 10
|
17 |
},
|
18 |
{
|
19 |
"epoch": 0.8888888888888888,
|
20 |
+
"grad_norm": 400.1885986328125,
|
21 |
"learning_rate": 4.545454545454546e-05,
|
22 |
+
"loss": 0.6331,
|
23 |
"step": 20
|
24 |
},
|
25 |
{
|
26 |
"epoch": 1.0,
|
27 |
+
"eval_accuracy": 0.7651888341543513,
|
28 |
+
"eval_loss": 0.5416210889816284,
|
29 |
+
"eval_runtime": 69.3532,
|
30 |
+
"eval_samples_per_second": 8.781,
|
31 |
+
"eval_steps_per_second": 0.562,
|
32 |
"step": 23
|
33 |
},
|
34 |
{
|
35 |
"epoch": 1.3111111111111111,
|
36 |
+
"grad_norm": 38.50715255737305,
|
37 |
"learning_rate": 4.797979797979798e-05,
|
38 |
+
"loss": 0.5552,
|
39 |
"step": 30
|
40 |
},
|
41 |
{
|
42 |
"epoch": 1.7555555555555555,
|
43 |
+
"grad_norm": 288.6549072265625,
|
44 |
"learning_rate": 4.545454545454546e-05,
|
45 |
+
"loss": 0.4913,
|
46 |
"step": 40
|
47 |
},
|
48 |
{
|
49 |
"epoch": 2.0,
|
50 |
+
"eval_accuracy": 0.9080459770114943,
|
51 |
+
"eval_loss": 0.37552881240844727,
|
52 |
+
"eval_runtime": 62.5531,
|
53 |
+
"eval_samples_per_second": 9.736,
|
54 |
+
"eval_steps_per_second": 0.623,
|
55 |
"step": 46
|
56 |
},
|
57 |
{
|
58 |
"epoch": 2.1777777777777776,
|
59 |
+
"grad_norm": 73.34674835205078,
|
60 |
"learning_rate": 4.292929292929293e-05,
|
61 |
+
"loss": 0.4369,
|
62 |
"step": 50
|
63 |
},
|
64 |
{
|
65 |
"epoch": 2.6222222222222222,
|
66 |
+
"grad_norm": 61.16302490234375,
|
67 |
"learning_rate": 4.0404040404040405e-05,
|
68 |
+
"loss": 0.4642,
|
69 |
"step": 60
|
70 |
},
|
71 |
{
|
72 |
"epoch": 3.0,
|
73 |
+
"eval_accuracy": 0.6141215106732348,
|
74 |
+
"eval_loss": 0.7140535116195679,
|
75 |
+
"eval_runtime": 68.2847,
|
76 |
+
"eval_samples_per_second": 8.919,
|
77 |
+
"eval_steps_per_second": 0.571,
|
78 |
"step": 69
|
79 |
},
|
80 |
{
|
81 |
"epoch": 3.0444444444444443,
|
82 |
+
"grad_norm": 245.7981414794922,
|
83 |
"learning_rate": 3.787878787878788e-05,
|
84 |
+
"loss": 0.4971,
|
85 |
"step": 70
|
86 |
},
|
87 |
{
|
88 |
"epoch": 3.488888888888889,
|
89 |
+
"grad_norm": 59.85107421875,
|
90 |
"learning_rate": 3.535353535353535e-05,
|
91 |
+
"loss": 0.4248,
|
92 |
"step": 80
|
93 |
},
|
94 |
{
|
95 |
"epoch": 3.9333333333333336,
|
96 |
+
"grad_norm": 26.801841735839844,
|
97 |
"learning_rate": 3.282828282828283e-05,
|
98 |
+
"loss": 0.4451,
|
99 |
"step": 90
|
100 |
},
|
101 |
{
|
102 |
"epoch": 4.0,
|
103 |
"eval_accuracy": 0.8045977011494253,
|
104 |
+
"eval_loss": 0.4347776770591736,
|
105 |
+
"eval_runtime": 63.7065,
|
106 |
+
"eval_samples_per_second": 9.559,
|
107 |
+
"eval_steps_per_second": 0.612,
|
108 |
"step": 92
|
109 |
},
|
110 |
{
|
111 |
"epoch": 4.355555555555555,
|
112 |
+
"grad_norm": 125.90353393554688,
|
113 |
"learning_rate": 3.0303030303030306e-05,
|
114 |
+
"loss": 0.3966,
|
115 |
"step": 100
|
116 |
},
|
117 |
{
|
118 |
"epoch": 4.8,
|
119 |
+
"grad_norm": 27.96786880493164,
|
120 |
"learning_rate": 2.777777777777778e-05,
|
121 |
+
"loss": 0.4095,
|
122 |
"step": 110
|
123 |
},
|
124 |
{
|
125 |
"epoch": 5.0,
|
126 |
+
"eval_accuracy": 0.8029556650246306,
|
127 |
+
"eval_loss": 0.5060437917709351,
|
128 |
+
"eval_runtime": 66.7998,
|
129 |
+
"eval_samples_per_second": 9.117,
|
130 |
+
"eval_steps_per_second": 0.584,
|
131 |
"step": 115
|
132 |
},
|
133 |
{
|
134 |
"epoch": 5.222222222222222,
|
135 |
+
"grad_norm": 28.08486557006836,
|
136 |
"learning_rate": 2.5252525252525256e-05,
|
137 |
+
"loss": 0.3595,
|
138 |
"step": 120
|
139 |
},
|
140 |
{
|
141 |
"epoch": 5.666666666666667,
|
142 |
+
"grad_norm": 44.42402267456055,
|
143 |
"learning_rate": 2.272727272727273e-05,
|
144 |
+
"loss": 0.3399,
|
145 |
"step": 130
|
146 |
},
|
147 |
{
|
148 |
"epoch": 6.0,
|
149 |
+
"eval_accuracy": 0.7372742200328407,
|
150 |
+
"eval_loss": 0.546423614025116,
|
151 |
+
"eval_runtime": 63.3896,
|
152 |
+
"eval_samples_per_second": 9.607,
|
153 |
+
"eval_steps_per_second": 0.615,
|
154 |
"step": 138
|
155 |
},
|
156 |
{
|
157 |
"epoch": 6.088888888888889,
|
158 |
+
"grad_norm": 93.54395294189453,
|
159 |
"learning_rate": 2.0202020202020203e-05,
|
160 |
+
"loss": 0.333,
|
161 |
"step": 140
|
162 |
},
|
163 |
{
|
164 |
"epoch": 6.533333333333333,
|
165 |
+
"grad_norm": 56.091121673583984,
|
166 |
"learning_rate": 1.7676767676767676e-05,
|
167 |
+
"loss": 0.434,
|
168 |
"step": 150
|
169 |
},
|
170 |
{
|
171 |
"epoch": 6.977777777777778,
|
172 |
+
"grad_norm": 24.830839157104492,
|
173 |
"learning_rate": 1.5151515151515153e-05,
|
174 |
+
"loss": 0.3304,
|
175 |
"step": 160
|
176 |
},
|
177 |
{
|
178 |
"epoch": 7.0,
|
179 |
+
"eval_accuracy": 0.8883415435139573,
|
180 |
+
"eval_loss": 0.32744449377059937,
|
181 |
+
"eval_runtime": 63.7561,
|
182 |
+
"eval_samples_per_second": 9.552,
|
183 |
+
"eval_steps_per_second": 0.612,
|
184 |
"step": 161
|
185 |
},
|
186 |
{
|
187 |
"epoch": 7.4,
|
188 |
+
"grad_norm": 59.196083068847656,
|
189 |
"learning_rate": 1.2626262626262628e-05,
|
190 |
+
"loss": 0.2963,
|
191 |
"step": 170
|
192 |
},
|
193 |
{
|
194 |
"epoch": 7.844444444444444,
|
195 |
+
"grad_norm": 22.917722702026367,
|
196 |
"learning_rate": 1.0101010101010101e-05,
|
197 |
+
"loss": 0.3539,
|
198 |
"step": 180
|
199 |
},
|
200 |
{
|
201 |
"epoch": 8.0,
|
202 |
+
"eval_accuracy": 0.8604269293924466,
|
203 |
+
"eval_loss": 0.38926875591278076,
|
204 |
+
"eval_runtime": 63.7316,
|
205 |
+
"eval_samples_per_second": 9.556,
|
206 |
+
"eval_steps_per_second": 0.612,
|
207 |
"step": 184
|
208 |
},
|
209 |
{
|
210 |
"epoch": 8.266666666666667,
|
211 |
+
"grad_norm": 87.52684783935547,
|
212 |
"learning_rate": 7.5757575757575764e-06,
|
213 |
+
"loss": 0.2673,
|
214 |
"step": 190
|
215 |
},
|
216 |
{
|
217 |
"epoch": 8.71111111111111,
|
218 |
+
"grad_norm": 21.081283569335938,
|
219 |
"learning_rate": 5.050505050505051e-06,
|
220 |
+
"loss": 0.2849,
|
221 |
"step": 200
|
222 |
},
|
223 |
{
|
224 |
"epoch": 9.0,
|
225 |
+
"eval_accuracy": 0.8637110016420362,
|
226 |
+
"eval_loss": 0.3758099675178528,
|
227 |
+
"eval_runtime": 62.4924,
|
228 |
+
"eval_samples_per_second": 9.745,
|
229 |
+
"eval_steps_per_second": 0.624,
|
230 |
"step": 207
|
231 |
},
|
232 |
{
|
233 |
"epoch": 9.133333333333333,
|
234 |
+
"grad_norm": 63.325809478759766,
|
235 |
"learning_rate": 2.5252525252525253e-06,
|
236 |
+
"loss": 0.265,
|
237 |
"step": 210
|
238 |
},
|
239 |
{
|
240 |
"epoch": 9.577777777777778,
|
241 |
+
"grad_norm": 38.6427116394043,
|
242 |
"learning_rate": 0.0,
|
243 |
+
"loss": 0.2605,
|
244 |
"step": 220
|
245 |
},
|
246 |
{
|
247 |
"epoch": 9.577777777777778,
|
248 |
+
"eval_accuracy": 0.8489326765188834,
|
249 |
+
"eval_loss": 0.3968973755836487,
|
250 |
+
"eval_runtime": 63.9436,
|
251 |
+
"eval_samples_per_second": 9.524,
|
252 |
+
"eval_steps_per_second": 0.61,
|
253 |
"step": 220
|
254 |
},
|
255 |
{
|
256 |
"epoch": 9.577777777777778,
|
257 |
"step": 220,
|
258 |
+
"total_flos": 2.7458744422511e+17,
|
259 |
+
"train_loss": 0.4097213279117237,
|
260 |
+
"train_runtime": 2363.2087,
|
261 |
+
"train_samples_per_second": 6.089,
|
262 |
+
"train_steps_per_second": 0.093
|
263 |
}
|
264 |
],
|
265 |
"logging_steps": 10,
|
|
|
279 |
"attributes": {}
|
280 |
}
|
281 |
},
|
282 |
+
"total_flos": 2.7458744422511e+17,
|
283 |
"train_batch_size": 16,
|
284 |
"trial_name": null,
|
285 |
"trial_params": null
|