End of training
Browse files- README.md +1 -1
- all_results.json +8 -0
- test_results.json +8 -0
- trainer_state.json +478 -0
README.md
CHANGED
@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
17 |
|
18 |
This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
|
19 |
It achieves the following results on the evaluation set:
|
20 |
-
- Loss: 0.
|
21 |
- Accuracy: 0.9290
|
22 |
|
23 |
## Model description
|
|
|
17 |
|
18 |
This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
|
19 |
It achieves the following results on the evaluation set:
|
20 |
+
- Loss: 0.2108
|
21 |
- Accuracy: 0.9290
|
22 |
|
23 |
## Model description
|
all_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 7.12,
|
3 |
+
"eval_accuracy": 0.9290322580645162,
|
4 |
+
"eval_loss": 0.21079899370670319,
|
5 |
+
"eval_runtime": 27.4106,
|
6 |
+
"eval_samples_per_second": 5.655,
|
7 |
+
"eval_steps_per_second": 1.423
|
8 |
+
}
|
test_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 7.12,
|
3 |
+
"eval_accuracy": 0.9290322580645162,
|
4 |
+
"eval_loss": 0.21079899370670319,
|
5 |
+
"eval_runtime": 27.4106,
|
6 |
+
"eval_samples_per_second": 5.655,
|
7 |
+
"eval_steps_per_second": 1.423
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,478 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.9857142857142858,
|
3 |
+
"best_model_checkpoint": "videomae-base-finetuned-ucf101-subset\\checkpoint-450",
|
4 |
+
"epoch": 7.125,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 600,
|
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 |
+
"learning_rate": 8.333333333333334e-06,
|
14 |
+
"loss": 2.2978,
|
15 |
+
"step": 10
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.03,
|
19 |
+
"learning_rate": 1.6666666666666667e-05,
|
20 |
+
"loss": 2.3358,
|
21 |
+
"step": 20
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 0.05,
|
25 |
+
"learning_rate": 2.5e-05,
|
26 |
+
"loss": 2.2275,
|
27 |
+
"step": 30
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 0.07,
|
31 |
+
"learning_rate": 3.3333333333333335e-05,
|
32 |
+
"loss": 2.089,
|
33 |
+
"step": 40
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 0.08,
|
37 |
+
"learning_rate": 4.166666666666667e-05,
|
38 |
+
"loss": 2.1821,
|
39 |
+
"step": 50
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.1,
|
43 |
+
"learning_rate": 5e-05,
|
44 |
+
"loss": 2.1127,
|
45 |
+
"step": 60
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.12,
|
49 |
+
"learning_rate": 4.9074074074074075e-05,
|
50 |
+
"loss": 2.1133,
|
51 |
+
"step": 70
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.12,
|
55 |
+
"eval_accuracy": 0.5714285714285714,
|
56 |
+
"eval_loss": 1.7146133184432983,
|
57 |
+
"eval_runtime": 11.5588,
|
58 |
+
"eval_samples_per_second": 6.056,
|
59 |
+
"eval_steps_per_second": 1.557,
|
60 |
+
"step": 75
|
61 |
+
},
|
62 |
+
{
|
63 |
+
"epoch": 1.01,
|
64 |
+
"learning_rate": 4.814814814814815e-05,
|
65 |
+
"loss": 1.8009,
|
66 |
+
"step": 80
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"epoch": 1.02,
|
70 |
+
"learning_rate": 4.722222222222222e-05,
|
71 |
+
"loss": 1.4562,
|
72 |
+
"step": 90
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 1.04,
|
76 |
+
"learning_rate": 4.62962962962963e-05,
|
77 |
+
"loss": 1.2443,
|
78 |
+
"step": 100
|
79 |
+
},
|
80 |
+
{
|
81 |
+
"epoch": 1.06,
|
82 |
+
"learning_rate": 4.5370370370370374e-05,
|
83 |
+
"loss": 0.9894,
|
84 |
+
"step": 110
|
85 |
+
},
|
86 |
+
{
|
87 |
+
"epoch": 1.07,
|
88 |
+
"learning_rate": 4.4444444444444447e-05,
|
89 |
+
"loss": 1.0393,
|
90 |
+
"step": 120
|
91 |
+
},
|
92 |
+
{
|
93 |
+
"epoch": 1.09,
|
94 |
+
"learning_rate": 4.351851851851852e-05,
|
95 |
+
"loss": 0.8615,
|
96 |
+
"step": 130
|
97 |
+
},
|
98 |
+
{
|
99 |
+
"epoch": 1.11,
|
100 |
+
"learning_rate": 4.259259259259259e-05,
|
101 |
+
"loss": 0.705,
|
102 |
+
"step": 140
|
103 |
+
},
|
104 |
+
{
|
105 |
+
"epoch": 1.12,
|
106 |
+
"learning_rate": 4.166666666666667e-05,
|
107 |
+
"loss": 0.9959,
|
108 |
+
"step": 150
|
109 |
+
},
|
110 |
+
{
|
111 |
+
"epoch": 1.12,
|
112 |
+
"eval_accuracy": 0.6714285714285714,
|
113 |
+
"eval_loss": 0.9590635299682617,
|
114 |
+
"eval_runtime": 11.7222,
|
115 |
+
"eval_samples_per_second": 5.972,
|
116 |
+
"eval_steps_per_second": 1.536,
|
117 |
+
"step": 150
|
118 |
+
},
|
119 |
+
{
|
120 |
+
"epoch": 2.02,
|
121 |
+
"learning_rate": 4.074074074074074e-05,
|
122 |
+
"loss": 0.5548,
|
123 |
+
"step": 160
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 2.03,
|
127 |
+
"learning_rate": 3.981481481481482e-05,
|
128 |
+
"loss": 0.616,
|
129 |
+
"step": 170
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 2.05,
|
133 |
+
"learning_rate": 3.888888888888889e-05,
|
134 |
+
"loss": 0.5153,
|
135 |
+
"step": 180
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 2.07,
|
139 |
+
"learning_rate": 3.7962962962962964e-05,
|
140 |
+
"loss": 0.6135,
|
141 |
+
"step": 190
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"epoch": 2.08,
|
145 |
+
"learning_rate": 3.7037037037037037e-05,
|
146 |
+
"loss": 0.5949,
|
147 |
+
"step": 200
|
148 |
+
},
|
149 |
+
{
|
150 |
+
"epoch": 2.1,
|
151 |
+
"learning_rate": 3.611111111111111e-05,
|
152 |
+
"loss": 0.3295,
|
153 |
+
"step": 210
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"epoch": 2.12,
|
157 |
+
"learning_rate": 3.518518518518519e-05,
|
158 |
+
"loss": 0.4202,
|
159 |
+
"step": 220
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 2.12,
|
163 |
+
"eval_accuracy": 0.8285714285714286,
|
164 |
+
"eval_loss": 0.3952118456363678,
|
165 |
+
"eval_runtime": 11.5934,
|
166 |
+
"eval_samples_per_second": 6.038,
|
167 |
+
"eval_steps_per_second": 1.553,
|
168 |
+
"step": 225
|
169 |
+
},
|
170 |
+
{
|
171 |
+
"epoch": 3.01,
|
172 |
+
"learning_rate": 3.425925925925926e-05,
|
173 |
+
"loss": 0.3022,
|
174 |
+
"step": 230
|
175 |
+
},
|
176 |
+
{
|
177 |
+
"epoch": 3.02,
|
178 |
+
"learning_rate": 3.3333333333333335e-05,
|
179 |
+
"loss": 0.1603,
|
180 |
+
"step": 240
|
181 |
+
},
|
182 |
+
{
|
183 |
+
"epoch": 3.04,
|
184 |
+
"learning_rate": 3.240740740740741e-05,
|
185 |
+
"loss": 0.2083,
|
186 |
+
"step": 250
|
187 |
+
},
|
188 |
+
{
|
189 |
+
"epoch": 3.06,
|
190 |
+
"learning_rate": 3.148148148148148e-05,
|
191 |
+
"loss": 0.2036,
|
192 |
+
"step": 260
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"epoch": 3.08,
|
196 |
+
"learning_rate": 3.055555555555556e-05,
|
197 |
+
"loss": 0.539,
|
198 |
+
"step": 270
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 3.09,
|
202 |
+
"learning_rate": 2.962962962962963e-05,
|
203 |
+
"loss": 0.3139,
|
204 |
+
"step": 280
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"epoch": 3.11,
|
208 |
+
"learning_rate": 2.8703703703703706e-05,
|
209 |
+
"loss": 0.2428,
|
210 |
+
"step": 290
|
211 |
+
},
|
212 |
+
{
|
213 |
+
"epoch": 3.12,
|
214 |
+
"learning_rate": 2.777777777777778e-05,
|
215 |
+
"loss": 0.4628,
|
216 |
+
"step": 300
|
217 |
+
},
|
218 |
+
{
|
219 |
+
"epoch": 3.12,
|
220 |
+
"eval_accuracy": 0.8,
|
221 |
+
"eval_loss": 0.5295023322105408,
|
222 |
+
"eval_runtime": 11.5777,
|
223 |
+
"eval_samples_per_second": 6.046,
|
224 |
+
"eval_steps_per_second": 1.555,
|
225 |
+
"step": 300
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 4.02,
|
229 |
+
"learning_rate": 2.6851851851851855e-05,
|
230 |
+
"loss": 0.449,
|
231 |
+
"step": 310
|
232 |
+
},
|
233 |
+
{
|
234 |
+
"epoch": 4.03,
|
235 |
+
"learning_rate": 2.5925925925925925e-05,
|
236 |
+
"loss": 0.2315,
|
237 |
+
"step": 320
|
238 |
+
},
|
239 |
+
{
|
240 |
+
"epoch": 4.05,
|
241 |
+
"learning_rate": 2.5e-05,
|
242 |
+
"loss": 0.0903,
|
243 |
+
"step": 330
|
244 |
+
},
|
245 |
+
{
|
246 |
+
"epoch": 4.07,
|
247 |
+
"learning_rate": 2.4074074074074074e-05,
|
248 |
+
"loss": 0.1609,
|
249 |
+
"step": 340
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 4.08,
|
253 |
+
"learning_rate": 2.314814814814815e-05,
|
254 |
+
"loss": 0.1794,
|
255 |
+
"step": 350
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 4.1,
|
259 |
+
"learning_rate": 2.2222222222222223e-05,
|
260 |
+
"loss": 0.2296,
|
261 |
+
"step": 360
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 4.12,
|
265 |
+
"learning_rate": 2.1296296296296296e-05,
|
266 |
+
"loss": 0.0843,
|
267 |
+
"step": 370
|
268 |
+
},
|
269 |
+
{
|
270 |
+
"epoch": 4.12,
|
271 |
+
"eval_accuracy": 0.8714285714285714,
|
272 |
+
"eval_loss": 0.3078978657722473,
|
273 |
+
"eval_runtime": 11.9007,
|
274 |
+
"eval_samples_per_second": 5.882,
|
275 |
+
"eval_steps_per_second": 1.513,
|
276 |
+
"step": 375
|
277 |
+
},
|
278 |
+
{
|
279 |
+
"epoch": 5.01,
|
280 |
+
"learning_rate": 2.037037037037037e-05,
|
281 |
+
"loss": 0.0873,
|
282 |
+
"step": 380
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 5.03,
|
286 |
+
"learning_rate": 1.9444444444444445e-05,
|
287 |
+
"loss": 0.0999,
|
288 |
+
"step": 390
|
289 |
+
},
|
290 |
+
{
|
291 |
+
"epoch": 5.04,
|
292 |
+
"learning_rate": 1.8518518518518518e-05,
|
293 |
+
"loss": 0.0924,
|
294 |
+
"step": 400
|
295 |
+
},
|
296 |
+
{
|
297 |
+
"epoch": 5.06,
|
298 |
+
"learning_rate": 1.7592592592592595e-05,
|
299 |
+
"loss": 0.0185,
|
300 |
+
"step": 410
|
301 |
+
},
|
302 |
+
{
|
303 |
+
"epoch": 5.08,
|
304 |
+
"learning_rate": 1.6666666666666667e-05,
|
305 |
+
"loss": 0.0142,
|
306 |
+
"step": 420
|
307 |
+
},
|
308 |
+
{
|
309 |
+
"epoch": 5.09,
|
310 |
+
"learning_rate": 1.574074074074074e-05,
|
311 |
+
"loss": 0.089,
|
312 |
+
"step": 430
|
313 |
+
},
|
314 |
+
{
|
315 |
+
"epoch": 5.11,
|
316 |
+
"learning_rate": 1.4814814814814815e-05,
|
317 |
+
"loss": 0.0472,
|
318 |
+
"step": 440
|
319 |
+
},
|
320 |
+
{
|
321 |
+
"epoch": 5.12,
|
322 |
+
"learning_rate": 1.388888888888889e-05,
|
323 |
+
"loss": 0.0793,
|
324 |
+
"step": 450
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 5.12,
|
328 |
+
"eval_accuracy": 0.9857142857142858,
|
329 |
+
"eval_loss": 0.07852713763713837,
|
330 |
+
"eval_runtime": 11.6251,
|
331 |
+
"eval_samples_per_second": 6.021,
|
332 |
+
"eval_steps_per_second": 1.548,
|
333 |
+
"step": 450
|
334 |
+
},
|
335 |
+
{
|
336 |
+
"epoch": 6.02,
|
337 |
+
"learning_rate": 1.2962962962962962e-05,
|
338 |
+
"loss": 0.0185,
|
339 |
+
"step": 460
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 6.03,
|
343 |
+
"learning_rate": 1.2037037037037037e-05,
|
344 |
+
"loss": 0.0899,
|
345 |
+
"step": 470
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 6.05,
|
349 |
+
"learning_rate": 1.1111111111111112e-05,
|
350 |
+
"loss": 0.0529,
|
351 |
+
"step": 480
|
352 |
+
},
|
353 |
+
{
|
354 |
+
"epoch": 6.07,
|
355 |
+
"learning_rate": 1.0185185185185185e-05,
|
356 |
+
"loss": 0.0307,
|
357 |
+
"step": 490
|
358 |
+
},
|
359 |
+
{
|
360 |
+
"epoch": 6.08,
|
361 |
+
"learning_rate": 9.259259259259259e-06,
|
362 |
+
"loss": 0.0067,
|
363 |
+
"step": 500
|
364 |
+
},
|
365 |
+
{
|
366 |
+
"epoch": 6.1,
|
367 |
+
"learning_rate": 8.333333333333334e-06,
|
368 |
+
"loss": 0.0063,
|
369 |
+
"step": 510
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 6.12,
|
373 |
+
"learning_rate": 7.4074074074074075e-06,
|
374 |
+
"loss": 0.0059,
|
375 |
+
"step": 520
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 6.12,
|
379 |
+
"eval_accuracy": 0.9571428571428572,
|
380 |
+
"eval_loss": 0.06748640537261963,
|
381 |
+
"eval_runtime": 11.5299,
|
382 |
+
"eval_samples_per_second": 6.071,
|
383 |
+
"eval_steps_per_second": 1.561,
|
384 |
+
"step": 525
|
385 |
+
},
|
386 |
+
{
|
387 |
+
"epoch": 7.01,
|
388 |
+
"learning_rate": 6.481481481481481e-06,
|
389 |
+
"loss": 0.0463,
|
390 |
+
"step": 530
|
391 |
+
},
|
392 |
+
{
|
393 |
+
"epoch": 7.03,
|
394 |
+
"learning_rate": 5.555555555555556e-06,
|
395 |
+
"loss": 0.007,
|
396 |
+
"step": 540
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 7.04,
|
400 |
+
"learning_rate": 4.6296296296296296e-06,
|
401 |
+
"loss": 0.0074,
|
402 |
+
"step": 550
|
403 |
+
},
|
404 |
+
{
|
405 |
+
"epoch": 7.06,
|
406 |
+
"learning_rate": 3.7037037037037037e-06,
|
407 |
+
"loss": 0.0663,
|
408 |
+
"step": 560
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 7.08,
|
412 |
+
"learning_rate": 2.777777777777778e-06,
|
413 |
+
"loss": 0.0061,
|
414 |
+
"step": 570
|
415 |
+
},
|
416 |
+
{
|
417 |
+
"epoch": 7.09,
|
418 |
+
"learning_rate": 1.8518518518518519e-06,
|
419 |
+
"loss": 0.0061,
|
420 |
+
"step": 580
|
421 |
+
},
|
422 |
+
{
|
423 |
+
"epoch": 7.11,
|
424 |
+
"learning_rate": 9.259259259259259e-07,
|
425 |
+
"loss": 0.0072,
|
426 |
+
"step": 590
|
427 |
+
},
|
428 |
+
{
|
429 |
+
"epoch": 7.12,
|
430 |
+
"learning_rate": 0.0,
|
431 |
+
"loss": 0.0065,
|
432 |
+
"step": 600
|
433 |
+
},
|
434 |
+
{
|
435 |
+
"epoch": 7.12,
|
436 |
+
"eval_accuracy": 0.9714285714285714,
|
437 |
+
"eval_loss": 0.04862924665212631,
|
438 |
+
"eval_runtime": 11.5131,
|
439 |
+
"eval_samples_per_second": 6.08,
|
440 |
+
"eval_steps_per_second": 1.563,
|
441 |
+
"step": 600
|
442 |
+
},
|
443 |
+
{
|
444 |
+
"epoch": 7.12,
|
445 |
+
"step": 600,
|
446 |
+
"total_flos": 2.990768376250368e+18,
|
447 |
+
"train_loss": 0.5474069633024434,
|
448 |
+
"train_runtime": 763.2232,
|
449 |
+
"train_samples_per_second": 3.145,
|
450 |
+
"train_steps_per_second": 0.786
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 7.12,
|
454 |
+
"eval_accuracy": 0.9290322580645162,
|
455 |
+
"eval_loss": 0.2134566754102707,
|
456 |
+
"eval_runtime": 26.3905,
|
457 |
+
"eval_samples_per_second": 5.873,
|
458 |
+
"eval_steps_per_second": 1.478,
|
459 |
+
"step": 600
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 7.12,
|
463 |
+
"eval_accuracy": 0.9290322580645162,
|
464 |
+
"eval_loss": 0.21079899370670319,
|
465 |
+
"eval_runtime": 27.4106,
|
466 |
+
"eval_samples_per_second": 5.655,
|
467 |
+
"eval_steps_per_second": 1.423,
|
468 |
+
"step": 600
|
469 |
+
}
|
470 |
+
],
|
471 |
+
"logging_steps": 10,
|
472 |
+
"max_steps": 600,
|
473 |
+
"num_train_epochs": 9223372036854775807,
|
474 |
+
"save_steps": 500,
|
475 |
+
"total_flos": 2.990768376250368e+18,
|
476 |
+
"trial_name": null,
|
477 |
+
"trial_params": null
|
478 |
+
}
|