End of training
Browse files- README.md +2 -2
- all_results.json +8 -0
- test_results.json +8 -0
- trainer_state.json +526 -0
README.md
CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
|
|
17 |
|
18 |
This model is a fine-tuned version of [MCG-NJU/videomae-base-finetuned-kinetics](https://huggingface.co/MCG-NJU/videomae-base-finetuned-kinetics) on an unknown dataset.
|
19 |
It achieves the following results on the evaluation set:
|
20 |
-
- Loss: 1.
|
21 |
-
- Accuracy: 0.
|
22 |
|
23 |
## Model description
|
24 |
|
|
|
17 |
|
18 |
This model is a fine-tuned version of [MCG-NJU/videomae-base-finetuned-kinetics](https://huggingface.co/MCG-NJU/videomae-base-finetuned-kinetics) on an unknown dataset.
|
19 |
It achieves the following results on the evaluation set:
|
20 |
+
- Loss: 1.2269
|
21 |
+
- Accuracy: 0.5443
|
22 |
|
23 |
## Model description
|
24 |
|
all_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 7.02,
|
3 |
+
"eval_accuracy": 0.5443037974683544,
|
4 |
+
"eval_loss": 1.2269208431243896,
|
5 |
+
"eval_runtime": 27.3703,
|
6 |
+
"eval_samples_per_second": 2.886,
|
7 |
+
"eval_steps_per_second": 0.512
|
8 |
+
}
|
test_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 7.02,
|
3 |
+
"eval_accuracy": 0.5443037974683544,
|
4 |
+
"eval_loss": 1.2269208431243896,
|
5 |
+
"eval_runtime": 27.3703,
|
6 |
+
"eval_samples_per_second": 2.886,
|
7 |
+
"eval_steps_per_second": 0.512
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,526 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.5443037974683544,
|
3 |
+
"best_model_checkpoint": "videomae-base-finetuned-kinetics-finetuned-caer-final-4-epochs\\checkpoint-246",
|
4 |
+
"epoch": 7.017123287671233,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 584,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.02,
|
13 |
+
"grad_norm": 6.458174705505371,
|
14 |
+
"learning_rate": 8.47457627118644e-06,
|
15 |
+
"loss": 1.602,
|
16 |
+
"step": 10
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.03,
|
20 |
+
"grad_norm": 7.2191619873046875,
|
21 |
+
"learning_rate": 1.694915254237288e-05,
|
22 |
+
"loss": 1.6082,
|
23 |
+
"step": 20
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.05,
|
27 |
+
"grad_norm": 6.413382053375244,
|
28 |
+
"learning_rate": 2.5423728813559322e-05,
|
29 |
+
"loss": 1.6091,
|
30 |
+
"step": 30
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.07,
|
34 |
+
"grad_norm": 6.1725263595581055,
|
35 |
+
"learning_rate": 3.389830508474576e-05,
|
36 |
+
"loss": 1.5506,
|
37 |
+
"step": 40
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.09,
|
41 |
+
"grad_norm": 6.784051418304443,
|
42 |
+
"learning_rate": 4.2372881355932206e-05,
|
43 |
+
"loss": 1.5818,
|
44 |
+
"step": 50
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.1,
|
48 |
+
"grad_norm": 6.475350856781006,
|
49 |
+
"learning_rate": 4.990476190476191e-05,
|
50 |
+
"loss": 1.5237,
|
51 |
+
"step": 60
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.12,
|
55 |
+
"grad_norm": 8.449509620666504,
|
56 |
+
"learning_rate": 4.895238095238096e-05,
|
57 |
+
"loss": 1.6543,
|
58 |
+
"step": 70
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.14,
|
62 |
+
"grad_norm": 5.603182792663574,
|
63 |
+
"learning_rate": 4.8e-05,
|
64 |
+
"loss": 1.3388,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.14,
|
69 |
+
"eval_accuracy": 0.3924050632911392,
|
70 |
+
"eval_loss": 1.4801665544509888,
|
71 |
+
"eval_runtime": 25.4554,
|
72 |
+
"eval_samples_per_second": 3.103,
|
73 |
+
"eval_steps_per_second": 0.55,
|
74 |
+
"step": 82
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 1.01,
|
78 |
+
"grad_norm": 8.551097869873047,
|
79 |
+
"learning_rate": 4.704761904761905e-05,
|
80 |
+
"loss": 1.4052,
|
81 |
+
"step": 90
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 1.03,
|
85 |
+
"grad_norm": 11.188709259033203,
|
86 |
+
"learning_rate": 4.60952380952381e-05,
|
87 |
+
"loss": 1.345,
|
88 |
+
"step": 100
|
89 |
+
},
|
90 |
+
{
|
91 |
+
"epoch": 1.05,
|
92 |
+
"grad_norm": 9.687131881713867,
|
93 |
+
"learning_rate": 4.514285714285714e-05,
|
94 |
+
"loss": 1.3573,
|
95 |
+
"step": 110
|
96 |
+
},
|
97 |
+
{
|
98 |
+
"epoch": 1.07,
|
99 |
+
"grad_norm": 10.117310523986816,
|
100 |
+
"learning_rate": 4.419047619047619e-05,
|
101 |
+
"loss": 1.1564,
|
102 |
+
"step": 120
|
103 |
+
},
|
104 |
+
{
|
105 |
+
"epoch": 1.08,
|
106 |
+
"grad_norm": 7.854645729064941,
|
107 |
+
"learning_rate": 4.323809523809524e-05,
|
108 |
+
"loss": 1.2247,
|
109 |
+
"step": 130
|
110 |
+
},
|
111 |
+
{
|
112 |
+
"epoch": 1.1,
|
113 |
+
"grad_norm": 7.707760334014893,
|
114 |
+
"learning_rate": 4.228571428571429e-05,
|
115 |
+
"loss": 1.1877,
|
116 |
+
"step": 140
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 1.12,
|
120 |
+
"grad_norm": 8.141950607299805,
|
121 |
+
"learning_rate": 4.133333333333333e-05,
|
122 |
+
"loss": 1.0836,
|
123 |
+
"step": 150
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 1.13,
|
127 |
+
"grad_norm": 9.751481056213379,
|
128 |
+
"learning_rate": 4.038095238095238e-05,
|
129 |
+
"loss": 1.1881,
|
130 |
+
"step": 160
|
131 |
+
},
|
132 |
+
{
|
133 |
+
"epoch": 1.14,
|
134 |
+
"eval_accuracy": 0.3670886075949367,
|
135 |
+
"eval_loss": 1.3925659656524658,
|
136 |
+
"eval_runtime": 25.2241,
|
137 |
+
"eval_samples_per_second": 3.132,
|
138 |
+
"eval_steps_per_second": 0.555,
|
139 |
+
"step": 164
|
140 |
+
},
|
141 |
+
{
|
142 |
+
"epoch": 2.01,
|
143 |
+
"grad_norm": 13.817303657531738,
|
144 |
+
"learning_rate": 3.942857142857143e-05,
|
145 |
+
"loss": 0.8556,
|
146 |
+
"step": 170
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 2.03,
|
150 |
+
"grad_norm": 12.339946746826172,
|
151 |
+
"learning_rate": 3.847619047619048e-05,
|
152 |
+
"loss": 0.862,
|
153 |
+
"step": 180
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"epoch": 2.04,
|
157 |
+
"grad_norm": 14.686485290527344,
|
158 |
+
"learning_rate": 3.752380952380953e-05,
|
159 |
+
"loss": 0.8869,
|
160 |
+
"step": 190
|
161 |
+
},
|
162 |
+
{
|
163 |
+
"epoch": 2.06,
|
164 |
+
"grad_norm": 9.216782569885254,
|
165 |
+
"learning_rate": 3.6571428571428576e-05,
|
166 |
+
"loss": 0.9421,
|
167 |
+
"step": 200
|
168 |
+
},
|
169 |
+
{
|
170 |
+
"epoch": 2.08,
|
171 |
+
"grad_norm": 12.398260116577148,
|
172 |
+
"learning_rate": 3.561904761904762e-05,
|
173 |
+
"loss": 0.695,
|
174 |
+
"step": 210
|
175 |
+
},
|
176 |
+
{
|
177 |
+
"epoch": 2.1,
|
178 |
+
"grad_norm": 11.731080055236816,
|
179 |
+
"learning_rate": 3.466666666666667e-05,
|
180 |
+
"loss": 1.0937,
|
181 |
+
"step": 220
|
182 |
+
},
|
183 |
+
{
|
184 |
+
"epoch": 2.11,
|
185 |
+
"grad_norm": 10.27041244506836,
|
186 |
+
"learning_rate": 3.3714285714285716e-05,
|
187 |
+
"loss": 0.9285,
|
188 |
+
"step": 230
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 2.13,
|
192 |
+
"grad_norm": 15.88553524017334,
|
193 |
+
"learning_rate": 3.276190476190477e-05,
|
194 |
+
"loss": 0.9722,
|
195 |
+
"step": 240
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 2.14,
|
199 |
+
"eval_accuracy": 0.5443037974683544,
|
200 |
+
"eval_loss": 1.2269208431243896,
|
201 |
+
"eval_runtime": 26.6893,
|
202 |
+
"eval_samples_per_second": 2.96,
|
203 |
+
"eval_steps_per_second": 0.525,
|
204 |
+
"step": 246
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"epoch": 3.01,
|
208 |
+
"grad_norm": 10.362627029418945,
|
209 |
+
"learning_rate": 3.180952380952381e-05,
|
210 |
+
"loss": 0.9198,
|
211 |
+
"step": 250
|
212 |
+
},
|
213 |
+
{
|
214 |
+
"epoch": 3.02,
|
215 |
+
"grad_norm": 7.394880771636963,
|
216 |
+
"learning_rate": 3.0857142857142856e-05,
|
217 |
+
"loss": 0.5962,
|
218 |
+
"step": 260
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 3.04,
|
222 |
+
"grad_norm": 7.7396345138549805,
|
223 |
+
"learning_rate": 2.9904761904761907e-05,
|
224 |
+
"loss": 0.5537,
|
225 |
+
"step": 270
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 3.06,
|
229 |
+
"grad_norm": 15.393024444580078,
|
230 |
+
"learning_rate": 2.8952380952380952e-05,
|
231 |
+
"loss": 0.6155,
|
232 |
+
"step": 280
|
233 |
+
},
|
234 |
+
{
|
235 |
+
"epoch": 3.08,
|
236 |
+
"grad_norm": 13.79691219329834,
|
237 |
+
"learning_rate": 2.8000000000000003e-05,
|
238 |
+
"loss": 0.7206,
|
239 |
+
"step": 290
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"epoch": 3.09,
|
243 |
+
"grad_norm": 11.387887954711914,
|
244 |
+
"learning_rate": 2.704761904761905e-05,
|
245 |
+
"loss": 0.5823,
|
246 |
+
"step": 300
|
247 |
+
},
|
248 |
+
{
|
249 |
+
"epoch": 3.11,
|
250 |
+
"grad_norm": 19.518312454223633,
|
251 |
+
"learning_rate": 2.6095238095238095e-05,
|
252 |
+
"loss": 0.7304,
|
253 |
+
"step": 310
|
254 |
+
},
|
255 |
+
{
|
256 |
+
"epoch": 3.13,
|
257 |
+
"grad_norm": 8.372328758239746,
|
258 |
+
"learning_rate": 2.5142857142857147e-05,
|
259 |
+
"loss": 0.6545,
|
260 |
+
"step": 320
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 3.14,
|
264 |
+
"eval_accuracy": 0.4936708860759494,
|
265 |
+
"eval_loss": 1.229438066482544,
|
266 |
+
"eval_runtime": 27.627,
|
267 |
+
"eval_samples_per_second": 2.86,
|
268 |
+
"eval_steps_per_second": 0.507,
|
269 |
+
"step": 328
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 4.0,
|
273 |
+
"grad_norm": 9.884891510009766,
|
274 |
+
"learning_rate": 2.419047619047619e-05,
|
275 |
+
"loss": 0.6225,
|
276 |
+
"step": 330
|
277 |
+
},
|
278 |
+
{
|
279 |
+
"epoch": 4.02,
|
280 |
+
"grad_norm": 24.8238525390625,
|
281 |
+
"learning_rate": 2.323809523809524e-05,
|
282 |
+
"loss": 0.4376,
|
283 |
+
"step": 340
|
284 |
+
},
|
285 |
+
{
|
286 |
+
"epoch": 4.04,
|
287 |
+
"grad_norm": 11.315938949584961,
|
288 |
+
"learning_rate": 2.2285714285714287e-05,
|
289 |
+
"loss": 0.4116,
|
290 |
+
"step": 350
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 4.05,
|
294 |
+
"grad_norm": 12.32546615600586,
|
295 |
+
"learning_rate": 2.1333333333333335e-05,
|
296 |
+
"loss": 0.4504,
|
297 |
+
"step": 360
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 4.07,
|
301 |
+
"grad_norm": 7.664936065673828,
|
302 |
+
"learning_rate": 2.0380952380952382e-05,
|
303 |
+
"loss": 0.6834,
|
304 |
+
"step": 370
|
305 |
+
},
|
306 |
+
{
|
307 |
+
"epoch": 4.09,
|
308 |
+
"grad_norm": 16.222686767578125,
|
309 |
+
"learning_rate": 1.942857142857143e-05,
|
310 |
+
"loss": 0.5456,
|
311 |
+
"step": 380
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 4.11,
|
315 |
+
"grad_norm": 7.430470943450928,
|
316 |
+
"learning_rate": 1.8476190476190478e-05,
|
317 |
+
"loss": 0.4284,
|
318 |
+
"step": 390
|
319 |
+
},
|
320 |
+
{
|
321 |
+
"epoch": 4.12,
|
322 |
+
"grad_norm": 2.954035520553589,
|
323 |
+
"learning_rate": 1.7523809523809526e-05,
|
324 |
+
"loss": 0.4361,
|
325 |
+
"step": 400
|
326 |
+
},
|
327 |
+
{
|
328 |
+
"epoch": 4.14,
|
329 |
+
"grad_norm": 27.79668426513672,
|
330 |
+
"learning_rate": 1.657142857142857e-05,
|
331 |
+
"loss": 0.5289,
|
332 |
+
"step": 410
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 4.14,
|
336 |
+
"eval_accuracy": 0.4810126582278481,
|
337 |
+
"eval_loss": 1.3317660093307495,
|
338 |
+
"eval_runtime": 27.2349,
|
339 |
+
"eval_samples_per_second": 2.901,
|
340 |
+
"eval_steps_per_second": 0.514,
|
341 |
+
"step": 410
|
342 |
+
},
|
343 |
+
{
|
344 |
+
"epoch": 5.02,
|
345 |
+
"grad_norm": 6.09324836730957,
|
346 |
+
"learning_rate": 1.561904761904762e-05,
|
347 |
+
"loss": 0.3316,
|
348 |
+
"step": 420
|
349 |
+
},
|
350 |
+
{
|
351 |
+
"epoch": 5.03,
|
352 |
+
"grad_norm": 13.406198501586914,
|
353 |
+
"learning_rate": 1.4666666666666668e-05,
|
354 |
+
"loss": 0.2502,
|
355 |
+
"step": 430
|
356 |
+
},
|
357 |
+
{
|
358 |
+
"epoch": 5.05,
|
359 |
+
"grad_norm": 10.042999267578125,
|
360 |
+
"learning_rate": 1.3714285714285716e-05,
|
361 |
+
"loss": 0.4386,
|
362 |
+
"step": 440
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 5.07,
|
366 |
+
"grad_norm": 10.368085861206055,
|
367 |
+
"learning_rate": 1.2761904761904764e-05,
|
368 |
+
"loss": 0.3197,
|
369 |
+
"step": 450
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 5.09,
|
373 |
+
"grad_norm": 14.689448356628418,
|
374 |
+
"learning_rate": 1.180952380952381e-05,
|
375 |
+
"loss": 0.4345,
|
376 |
+
"step": 460
|
377 |
+
},
|
378 |
+
{
|
379 |
+
"epoch": 5.1,
|
380 |
+
"grad_norm": 5.982275009155273,
|
381 |
+
"learning_rate": 1.0857142857142858e-05,
|
382 |
+
"loss": 0.3263,
|
383 |
+
"step": 470
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 5.12,
|
387 |
+
"grad_norm": 12.9437255859375,
|
388 |
+
"learning_rate": 9.904761904761906e-06,
|
389 |
+
"loss": 0.3721,
|
390 |
+
"step": 480
|
391 |
+
},
|
392 |
+
{
|
393 |
+
"epoch": 5.14,
|
394 |
+
"grad_norm": 17.087923049926758,
|
395 |
+
"learning_rate": 8.952380952380952e-06,
|
396 |
+
"loss": 0.2826,
|
397 |
+
"step": 490
|
398 |
+
},
|
399 |
+
{
|
400 |
+
"epoch": 5.14,
|
401 |
+
"eval_accuracy": 0.4810126582278481,
|
402 |
+
"eval_loss": 1.254180908203125,
|
403 |
+
"eval_runtime": 27.4561,
|
404 |
+
"eval_samples_per_second": 2.877,
|
405 |
+
"eval_steps_per_second": 0.51,
|
406 |
+
"step": 492
|
407 |
+
},
|
408 |
+
{
|
409 |
+
"epoch": 6.01,
|
410 |
+
"grad_norm": 11.193989753723145,
|
411 |
+
"learning_rate": 8.000000000000001e-06,
|
412 |
+
"loss": 0.1963,
|
413 |
+
"step": 500
|
414 |
+
},
|
415 |
+
{
|
416 |
+
"epoch": 6.03,
|
417 |
+
"grad_norm": 2.909717559814453,
|
418 |
+
"learning_rate": 7.0476190476190475e-06,
|
419 |
+
"loss": 0.1711,
|
420 |
+
"step": 510
|
421 |
+
},
|
422 |
+
{
|
423 |
+
"epoch": 6.05,
|
424 |
+
"grad_norm": 14.048554420471191,
|
425 |
+
"learning_rate": 6.095238095238095e-06,
|
426 |
+
"loss": 0.1742,
|
427 |
+
"step": 520
|
428 |
+
},
|
429 |
+
{
|
430 |
+
"epoch": 6.07,
|
431 |
+
"grad_norm": 14.992708206176758,
|
432 |
+
"learning_rate": 5.142857142857143e-06,
|
433 |
+
"loss": 0.3157,
|
434 |
+
"step": 530
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 6.08,
|
438 |
+
"grad_norm": 13.224514961242676,
|
439 |
+
"learning_rate": 4.19047619047619e-06,
|
440 |
+
"loss": 0.2316,
|
441 |
+
"step": 540
|
442 |
+
},
|
443 |
+
{
|
444 |
+
"epoch": 6.1,
|
445 |
+
"grad_norm": 20.14113998413086,
|
446 |
+
"learning_rate": 3.238095238095238e-06,
|
447 |
+
"loss": 0.1789,
|
448 |
+
"step": 550
|
449 |
+
},
|
450 |
+
{
|
451 |
+
"epoch": 6.12,
|
452 |
+
"grad_norm": 5.539999008178711,
|
453 |
+
"learning_rate": 2.285714285714286e-06,
|
454 |
+
"loss": 0.1952,
|
455 |
+
"step": 560
|
456 |
+
},
|
457 |
+
{
|
458 |
+
"epoch": 6.13,
|
459 |
+
"grad_norm": 1.642961025238037,
|
460 |
+
"learning_rate": 1.3333333333333334e-06,
|
461 |
+
"loss": 0.2948,
|
462 |
+
"step": 570
|
463 |
+
},
|
464 |
+
{
|
465 |
+
"epoch": 6.14,
|
466 |
+
"eval_accuracy": 0.5443037974683544,
|
467 |
+
"eval_loss": 1.2192754745483398,
|
468 |
+
"eval_runtime": 27.124,
|
469 |
+
"eval_samples_per_second": 2.913,
|
470 |
+
"eval_steps_per_second": 0.516,
|
471 |
+
"step": 574
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 7.01,
|
475 |
+
"grad_norm": 1.9858059883117676,
|
476 |
+
"learning_rate": 3.8095238095238096e-07,
|
477 |
+
"loss": 0.1954,
|
478 |
+
"step": 580
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 7.02,
|
482 |
+
"eval_accuracy": 0.5316455696202531,
|
483 |
+
"eval_loss": 1.2165864706039429,
|
484 |
+
"eval_runtime": 26.4535,
|
485 |
+
"eval_samples_per_second": 2.986,
|
486 |
+
"eval_steps_per_second": 0.529,
|
487 |
+
"step": 584
|
488 |
+
},
|
489 |
+
{
|
490 |
+
"epoch": 7.02,
|
491 |
+
"step": 584,
|
492 |
+
"total_flos": 4.331436394978345e+18,
|
493 |
+
"train_loss": 0.7601832610695329,
|
494 |
+
"train_runtime": 1891.5972,
|
495 |
+
"train_samples_per_second": 1.852,
|
496 |
+
"train_steps_per_second": 0.309
|
497 |
+
},
|
498 |
+
{
|
499 |
+
"epoch": 7.02,
|
500 |
+
"eval_accuracy": 0.4642857142857143,
|
501 |
+
"eval_loss": 1.2583760023117065,
|
502 |
+
"eval_runtime": 18.8662,
|
503 |
+
"eval_samples_per_second": 2.968,
|
504 |
+
"eval_steps_per_second": 0.53,
|
505 |
+
"step": 584
|
506 |
+
},
|
507 |
+
{
|
508 |
+
"epoch": 7.02,
|
509 |
+
"eval_accuracy": 0.5443037974683544,
|
510 |
+
"eval_loss": 1.2269208431243896,
|
511 |
+
"eval_runtime": 27.3703,
|
512 |
+
"eval_samples_per_second": 2.886,
|
513 |
+
"eval_steps_per_second": 0.512,
|
514 |
+
"step": 584
|
515 |
+
}
|
516 |
+
],
|
517 |
+
"logging_steps": 10,
|
518 |
+
"max_steps": 584,
|
519 |
+
"num_input_tokens_seen": 0,
|
520 |
+
"num_train_epochs": 9223372036854775807,
|
521 |
+
"save_steps": 500,
|
522 |
+
"total_flos": 4.331436394978345e+18,
|
523 |
+
"train_batch_size": 6,
|
524 |
+
"trial_name": null,
|
525 |
+
"trial_params": null
|
526 |
+
}
|