paul
commited on
Commit
•
351d245
1
Parent(s):
1e9495f
End of training
Browse files- all_results.json +6 -6
- pytorch_model.bin +1 -1
- runs/Feb02_19-21-12_teesta/events.out.tfevents.1675345885.teesta.1377.0 +2 -2
- train_results.json +6 -6
- trainer_state.json +1214 -206
all_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"total_flos":
|
4 |
-
"train_loss":
|
5 |
-
"train_runtime":
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 79.97,
|
3 |
+
"total_flos": 3.5167284631649157e+18,
|
4 |
+
"train_loss": 0.37728101573884487,
|
5 |
+
"train_runtime": 2345.4183,
|
6 |
+
"train_samples_per_second": 70.606,
|
7 |
+
"train_steps_per_second": 0.273
|
8 |
}
|
pytorch_model.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 94391373
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:797ad435f3e4fc6eb51fbf8fb1645d146d75605941de95af5da769f7ccd82fe7
|
3 |
size 94391373
|
runs/Feb02_19-21-12_teesta/events.out.tfevents.1675345885.teesta.1377.0
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d861004a79be1f7adec464b5a4348942865c40ac7afa2a63cfaeb1a24999eefa
|
3 |
+
size 51896
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"total_flos":
|
4 |
-
"train_loss":
|
5 |
-
"train_runtime":
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 79.97,
|
3 |
+
"total_flos": 3.5167284631649157e+18,
|
4 |
+
"train_loss": 0.37728101573884487,
|
5 |
+
"train_runtime": 2345.4183,
|
6 |
+
"train_samples_per_second": 70.606,
|
7 |
+
"train_steps_per_second": 0.273
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,361 +1,1369 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
-
"best_model_checkpoint": "microsoft-resnet-50-cartoon-emotion-detection/checkpoint-
|
4 |
-
"epoch":
|
5 |
-
"global_step":
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
9 |
"log_history": [
|
10 |
{
|
11 |
"epoch": 0.97,
|
12 |
-
"eval_accuracy": 0.
|
13 |
-
"eval_f1": 0.
|
14 |
-
"eval_loss": 1.
|
15 |
-
"eval_precision": 0.
|
16 |
-
"eval_recall": 0.
|
17 |
-
"eval_runtime": 6.
|
18 |
-
"eval_samples_per_second":
|
19 |
-
"eval_steps_per_second": 0.
|
20 |
"step": 8
|
21 |
},
|
22 |
{
|
23 |
"epoch": 1.24,
|
24 |
-
"learning_rate":
|
25 |
-
"loss": 1.
|
26 |
"step": 10
|
27 |
},
|
28 |
{
|
29 |
"epoch": 1.97,
|
30 |
-
"eval_accuracy": 0.
|
31 |
-
"eval_f1": 0.
|
32 |
-
"eval_loss": 1.
|
33 |
-
"eval_precision": 0.
|
34 |
-
"eval_recall": 0.
|
35 |
-
"eval_runtime": 4.
|
36 |
-
"eval_samples_per_second":
|
37 |
-
"eval_steps_per_second": 0.
|
38 |
"step": 16
|
39 |
},
|
40 |
{
|
41 |
"epoch": 2.48,
|
42 |
-
"learning_rate":
|
43 |
-
"loss": 1.
|
44 |
"step": 20
|
45 |
},
|
46 |
{
|
47 |
"epoch": 2.97,
|
48 |
-
"eval_accuracy": 0.
|
49 |
-
"eval_f1": 0.
|
50 |
-
"eval_loss": 1.
|
51 |
-
"eval_precision": 0.
|
52 |
-
"eval_recall": 0.
|
53 |
-
"eval_runtime": 4.
|
54 |
-
"eval_samples_per_second":
|
55 |
-
"eval_steps_per_second": 0.
|
56 |
"step": 24
|
57 |
},
|
58 |
{
|
59 |
"epoch": 3.73,
|
60 |
-
"learning_rate":
|
61 |
-
"loss": 1.
|
62 |
"step": 30
|
63 |
},
|
64 |
{
|
65 |
"epoch": 3.97,
|
66 |
-
"eval_accuracy": 0.
|
67 |
-
"eval_f1": 0.
|
68 |
-
"eval_loss": 1.
|
69 |
-
"eval_precision": 0.
|
70 |
-
"eval_recall": 0.
|
71 |
-
"eval_runtime": 4.
|
72 |
-
"eval_samples_per_second":
|
73 |
-
"eval_steps_per_second": 0.
|
74 |
"step": 32
|
75 |
},
|
76 |
{
|
77 |
"epoch": 4.97,
|
78 |
-
"learning_rate":
|
79 |
-
"loss": 1.
|
80 |
"step": 40
|
81 |
},
|
82 |
{
|
83 |
"epoch": 4.97,
|
84 |
-
"eval_accuracy": 0.
|
85 |
-
"eval_f1": 0.
|
86 |
-
"eval_loss": 1.
|
87 |
-
"eval_precision": 0.
|
88 |
-
"eval_recall": 0.
|
89 |
-
"eval_runtime":
|
90 |
-
"eval_samples_per_second":
|
91 |
-
"eval_steps_per_second": 0.
|
92 |
"step": 40
|
93 |
},
|
94 |
{
|
95 |
"epoch": 5.97,
|
96 |
-
"eval_accuracy": 0.
|
97 |
-
"eval_f1": 0.
|
98 |
-
"eval_loss": 1.
|
99 |
-
"eval_precision": 0.
|
100 |
-
"eval_recall": 0.
|
101 |
-
"eval_runtime": 4.
|
102 |
-
"eval_samples_per_second":
|
103 |
-
"eval_steps_per_second": 0.
|
104 |
"step": 48
|
105 |
},
|
106 |
{
|
107 |
"epoch": 6.24,
|
108 |
-
"learning_rate": 9.
|
109 |
-
"loss": 1.
|
110 |
"step": 50
|
111 |
},
|
112 |
{
|
113 |
"epoch": 6.97,
|
114 |
-
"eval_accuracy": 0.
|
115 |
-
"eval_f1": 0.
|
116 |
-
"eval_loss": 1.
|
117 |
-
"eval_precision": 0.
|
118 |
-
"eval_recall": 0.
|
119 |
-
"eval_runtime": 4.
|
120 |
-
"eval_samples_per_second":
|
121 |
-
"eval_steps_per_second": 0.
|
122 |
"step": 56
|
123 |
},
|
124 |
{
|
125 |
"epoch": 7.48,
|
126 |
-
"learning_rate":
|
127 |
-
"loss": 1.
|
128 |
"step": 60
|
129 |
},
|
130 |
{
|
131 |
"epoch": 7.97,
|
132 |
-
"eval_accuracy": 0.
|
133 |
-
"eval_f1": 0.
|
134 |
-
"eval_loss": 1.
|
135 |
-
"eval_precision": 0.
|
136 |
-
"eval_recall": 0.
|
137 |
-
"eval_runtime":
|
138 |
-
"eval_samples_per_second":
|
139 |
-
"eval_steps_per_second": 0.
|
140 |
"step": 64
|
141 |
},
|
142 |
{
|
143 |
"epoch": 8.73,
|
144 |
-
"learning_rate":
|
145 |
-
"loss": 1.
|
146 |
"step": 70
|
147 |
},
|
148 |
{
|
149 |
"epoch": 8.97,
|
150 |
-
"eval_accuracy": 0.
|
151 |
-
"eval_f1": 0.
|
152 |
-
"eval_loss": 1.
|
153 |
-
"eval_precision": 0.
|
154 |
-
"eval_recall": 0.
|
155 |
-
"eval_runtime": 4.
|
156 |
-
"eval_samples_per_second":
|
157 |
-
"eval_steps_per_second": 0.
|
158 |
"step": 72
|
159 |
},
|
160 |
{
|
161 |
"epoch": 9.97,
|
162 |
-
"learning_rate":
|
163 |
-
"loss": 1.
|
164 |
"step": 80
|
165 |
},
|
166 |
{
|
167 |
"epoch": 9.97,
|
168 |
-
"eval_accuracy": 0.
|
169 |
-
"eval_f1": 0.
|
170 |
-
"eval_loss": 1.
|
171 |
-
"eval_precision": 0.
|
172 |
-
"eval_recall": 0.
|
173 |
-
"eval_runtime": 4.
|
174 |
-
"eval_samples_per_second":
|
175 |
-
"eval_steps_per_second": 0.
|
176 |
"step": 80
|
177 |
},
|
178 |
{
|
179 |
"epoch": 10.97,
|
180 |
-
"eval_accuracy": 0.
|
181 |
-
"eval_f1": 0.
|
182 |
-
"eval_loss": 1.
|
183 |
-
"eval_precision": 0.
|
184 |
-
"eval_recall": 0.
|
185 |
-
"eval_runtime":
|
186 |
-
"eval_samples_per_second":
|
187 |
-
"eval_steps_per_second": 0.
|
188 |
"step": 88
|
189 |
},
|
190 |
{
|
191 |
"epoch": 11.24,
|
192 |
-
"learning_rate":
|
193 |
-
"loss": 1.
|
194 |
"step": 90
|
195 |
},
|
196 |
{
|
197 |
"epoch": 11.97,
|
198 |
-
"eval_accuracy": 0.
|
199 |
-
"eval_f1": 0.
|
200 |
-
"eval_loss":
|
201 |
-
"eval_precision": 0.
|
202 |
-
"eval_recall": 0.
|
203 |
-
"eval_runtime": 4.
|
204 |
-
"eval_samples_per_second":
|
205 |
-
"eval_steps_per_second": 0.
|
206 |
"step": 96
|
207 |
},
|
208 |
{
|
209 |
"epoch": 12.48,
|
210 |
-
"learning_rate":
|
211 |
-
"loss": 1.
|
212 |
"step": 100
|
213 |
},
|
214 |
{
|
215 |
"epoch": 12.97,
|
216 |
-
"eval_accuracy": 0.
|
217 |
-
"eval_f1": 0.
|
218 |
-
"eval_loss":
|
219 |
-
"eval_precision": 0.
|
220 |
-
"eval_recall": 0.
|
221 |
-
"eval_runtime": 4.
|
222 |
-
"eval_samples_per_second":
|
223 |
-
"eval_steps_per_second": 0.
|
224 |
"step": 104
|
225 |
},
|
226 |
{
|
227 |
"epoch": 13.73,
|
228 |
-
"learning_rate":
|
229 |
-
"loss":
|
230 |
"step": 110
|
231 |
},
|
232 |
{
|
233 |
"epoch": 13.97,
|
234 |
-
"eval_accuracy": 0.
|
235 |
-
"eval_f1": 0.
|
236 |
-
"eval_loss":
|
237 |
-
"eval_precision": 0.
|
238 |
-
"eval_recall": 0.
|
239 |
-
"eval_runtime":
|
240 |
-
"eval_samples_per_second":
|
241 |
-
"eval_steps_per_second": 0.
|
242 |
"step": 112
|
243 |
},
|
244 |
{
|
245 |
"epoch": 14.97,
|
246 |
-
"learning_rate":
|
247 |
-
"loss":
|
248 |
"step": 120
|
249 |
},
|
250 |
{
|
251 |
"epoch": 14.97,
|
252 |
-
"eval_accuracy": 0.
|
253 |
-
"eval_f1": 0.
|
254 |
-
"eval_loss":
|
255 |
-
"eval_precision": 0.
|
256 |
-
"eval_recall": 0.
|
257 |
-
"eval_runtime": 4.
|
258 |
-
"eval_samples_per_second": 26.
|
259 |
-
"eval_steps_per_second": 0.
|
260 |
"step": 120
|
261 |
},
|
262 |
{
|
263 |
"epoch": 15.97,
|
264 |
-
"eval_accuracy": 0.
|
265 |
-
"eval_f1": 0.
|
266 |
-
"eval_loss":
|
267 |
-
"eval_precision": 0.
|
268 |
-
"eval_recall": 0.
|
269 |
-
"eval_runtime": 4.
|
270 |
-
"eval_samples_per_second":
|
271 |
-
"eval_steps_per_second": 0.
|
272 |
"step": 128
|
273 |
},
|
274 |
{
|
275 |
"epoch": 16.24,
|
276 |
-
"learning_rate":
|
277 |
-
"loss":
|
278 |
"step": 130
|
279 |
},
|
280 |
{
|
281 |
"epoch": 16.97,
|
282 |
-
"eval_accuracy": 0.
|
283 |
-
"eval_f1": 0.
|
284 |
-
"eval_loss":
|
285 |
-
"eval_precision": 0.
|
286 |
-
"eval_recall": 0.
|
287 |
-
"eval_runtime": 4.
|
288 |
-
"eval_samples_per_second": 26.
|
289 |
-
"eval_steps_per_second": 0.
|
290 |
"step": 136
|
291 |
},
|
292 |
{
|
293 |
"epoch": 17.48,
|
294 |
-
"learning_rate":
|
295 |
-
"loss":
|
296 |
"step": 140
|
297 |
},
|
298 |
{
|
299 |
"epoch": 17.97,
|
300 |
-
"eval_accuracy": 0.
|
301 |
-
"eval_f1": 0.
|
302 |
-
"eval_loss":
|
303 |
-
"eval_precision": 0.
|
304 |
-
"eval_recall": 0.
|
305 |
-
"eval_runtime": 4.
|
306 |
-
"eval_samples_per_second":
|
307 |
-
"eval_steps_per_second": 0.
|
308 |
"step": 144
|
309 |
},
|
310 |
{
|
311 |
"epoch": 18.73,
|
312 |
-
"learning_rate":
|
313 |
-
"loss": 0.
|
314 |
"step": 150
|
315 |
},
|
316 |
{
|
317 |
"epoch": 18.97,
|
318 |
-
"eval_accuracy": 0.
|
319 |
-
"eval_f1": 0.
|
320 |
-
"eval_loss":
|
321 |
-
"eval_precision": 0.
|
322 |
-
"eval_recall": 0.
|
323 |
-
"eval_runtime": 4.
|
324 |
-
"eval_samples_per_second":
|
325 |
-
"eval_steps_per_second": 0.
|
326 |
"step": 152
|
327 |
},
|
328 |
{
|
329 |
"epoch": 19.97,
|
330 |
-
"learning_rate": 0.
|
331 |
-
"loss": 0.
|
332 |
"step": 160
|
333 |
},
|
334 |
{
|
335 |
"epoch": 19.97,
|
336 |
-
"eval_accuracy": 0.
|
337 |
-
"eval_f1": 0.
|
338 |
-
"eval_loss":
|
339 |
-
"eval_precision": 0.
|
340 |
-
"eval_recall": 0.
|
341 |
-
"eval_runtime": 4.
|
342 |
-
"eval_samples_per_second": 25.
|
343 |
-
"eval_steps_per_second": 0.
|
344 |
"step": 160
|
345 |
},
|
346 |
{
|
347 |
-
"epoch":
|
348 |
-
"
|
349 |
-
"
|
350 |
-
"
|
351 |
-
"
|
352 |
-
"
|
353 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
354 |
}
|
355 |
],
|
356 |
-
"max_steps":
|
357 |
-
"num_train_epochs":
|
358 |
-
"total_flos":
|
359 |
"trial_name": null,
|
360 |
"trial_params": null
|
361 |
}
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.8440366972477065,
|
3 |
+
"best_model_checkpoint": "microsoft-resnet-50-cartoon-emotion-detection/checkpoint-528",
|
4 |
+
"epoch": 79.96969696969697,
|
5 |
+
"global_step": 640,
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
9 |
"log_history": [
|
10 |
{
|
11 |
"epoch": 0.97,
|
12 |
+
"eval_accuracy": 0.22935779816513763,
|
13 |
+
"eval_f1": 0.21647331951741566,
|
14 |
+
"eval_loss": 1.3854628801345825,
|
15 |
+
"eval_precision": 0.2697355008315897,
|
16 |
+
"eval_recall": 0.22935779816513763,
|
17 |
+
"eval_runtime": 6.0845,
|
18 |
+
"eval_samples_per_second": 17.914,
|
19 |
+
"eval_steps_per_second": 0.329,
|
20 |
"step": 8
|
21 |
},
|
22 |
{
|
23 |
"epoch": 1.24,
|
24 |
+
"learning_rate": 1.8750000000000002e-05,
|
25 |
+
"loss": 1.4222,
|
26 |
"step": 10
|
27 |
},
|
28 |
{
|
29 |
"epoch": 1.97,
|
30 |
+
"eval_accuracy": 0.25688073394495414,
|
31 |
+
"eval_f1": 0.25434987070599063,
|
32 |
+
"eval_loss": 1.3791918754577637,
|
33 |
+
"eval_precision": 0.2807708571335123,
|
34 |
+
"eval_recall": 0.25688073394495414,
|
35 |
+
"eval_runtime": 4.2925,
|
36 |
+
"eval_samples_per_second": 25.393,
|
37 |
+
"eval_steps_per_second": 0.466,
|
38 |
"step": 16
|
39 |
},
|
40 |
{
|
41 |
"epoch": 2.48,
|
42 |
+
"learning_rate": 3.7500000000000003e-05,
|
43 |
+
"loss": 1.4183,
|
44 |
"step": 20
|
45 |
},
|
46 |
{
|
47 |
"epoch": 2.97,
|
48 |
+
"eval_accuracy": 0.3853211009174312,
|
49 |
+
"eval_f1": 0.3511144563688655,
|
50 |
+
"eval_loss": 1.3646042346954346,
|
51 |
+
"eval_precision": 0.4102155235182758,
|
52 |
+
"eval_recall": 0.3853211009174312,
|
53 |
+
"eval_runtime": 4.3579,
|
54 |
+
"eval_samples_per_second": 25.012,
|
55 |
+
"eval_steps_per_second": 0.459,
|
56 |
"step": 24
|
57 |
},
|
58 |
{
|
59 |
"epoch": 3.73,
|
60 |
+
"learning_rate": 5.625e-05,
|
61 |
+
"loss": 1.4097,
|
62 |
"step": 30
|
63 |
},
|
64 |
{
|
65 |
"epoch": 3.97,
|
66 |
+
"eval_accuracy": 0.41284403669724773,
|
67 |
+
"eval_f1": 0.32452248836490605,
|
68 |
+
"eval_loss": 1.3562716245651245,
|
69 |
+
"eval_precision": 0.5062447369587377,
|
70 |
+
"eval_recall": 0.41284403669724773,
|
71 |
+
"eval_runtime": 4.3612,
|
72 |
+
"eval_samples_per_second": 24.993,
|
73 |
+
"eval_steps_per_second": 0.459,
|
74 |
"step": 32
|
75 |
},
|
76 |
{
|
77 |
"epoch": 4.97,
|
78 |
+
"learning_rate": 7.500000000000001e-05,
|
79 |
+
"loss": 1.3944,
|
80 |
"step": 40
|
81 |
},
|
82 |
{
|
83 |
"epoch": 4.97,
|
84 |
+
"eval_accuracy": 0.4036697247706422,
|
85 |
+
"eval_f1": 0.293905028882093,
|
86 |
+
"eval_loss": 1.3461558818817139,
|
87 |
+
"eval_precision": 0.3927443217900042,
|
88 |
+
"eval_recall": 0.4036697247706422,
|
89 |
+
"eval_runtime": 4.4159,
|
90 |
+
"eval_samples_per_second": 24.684,
|
91 |
+
"eval_steps_per_second": 0.453,
|
92 |
"step": 40
|
93 |
},
|
94 |
{
|
95 |
"epoch": 5.97,
|
96 |
+
"eval_accuracy": 0.4036697247706422,
|
97 |
+
"eval_f1": 0.2840541721275666,
|
98 |
+
"eval_loss": 1.322252631187439,
|
99 |
+
"eval_precision": 0.5152005756431013,
|
100 |
+
"eval_recall": 0.4036697247706422,
|
101 |
+
"eval_runtime": 4.2725,
|
102 |
+
"eval_samples_per_second": 25.512,
|
103 |
+
"eval_steps_per_second": 0.468,
|
104 |
"step": 48
|
105 |
},
|
106 |
{
|
107 |
"epoch": 6.24,
|
108 |
+
"learning_rate": 9.375e-05,
|
109 |
+
"loss": 1.411,
|
110 |
"step": 50
|
111 |
},
|
112 |
{
|
113 |
"epoch": 6.97,
|
114 |
+
"eval_accuracy": 0.41284403669724773,
|
115 |
+
"eval_f1": 0.29851761513413444,
|
116 |
+
"eval_loss": 1.304025411605835,
|
117 |
+
"eval_precision": 0.44039013993142434,
|
118 |
+
"eval_recall": 0.41284403669724773,
|
119 |
+
"eval_runtime": 4.4737,
|
120 |
+
"eval_samples_per_second": 24.365,
|
121 |
+
"eval_steps_per_second": 0.447,
|
122 |
"step": 56
|
123 |
},
|
124 |
{
|
125 |
"epoch": 7.48,
|
126 |
+
"learning_rate": 0.0001125,
|
127 |
+
"loss": 1.346,
|
128 |
"step": 60
|
129 |
},
|
130 |
{
|
131 |
"epoch": 7.97,
|
132 |
+
"eval_accuracy": 0.4954128440366973,
|
133 |
+
"eval_f1": 0.4092687533729088,
|
134 |
+
"eval_loss": 1.2699785232543945,
|
135 |
+
"eval_precision": 0.49603902723168775,
|
136 |
+
"eval_recall": 0.4954128440366973,
|
137 |
+
"eval_runtime": 4.5079,
|
138 |
+
"eval_samples_per_second": 24.18,
|
139 |
+
"eval_steps_per_second": 0.444,
|
140 |
"step": 64
|
141 |
},
|
142 |
{
|
143 |
"epoch": 8.73,
|
144 |
+
"learning_rate": 0.00011875000000000001,
|
145 |
+
"loss": 1.3031,
|
146 |
"step": 70
|
147 |
},
|
148 |
{
|
149 |
"epoch": 8.97,
|
150 |
+
"eval_accuracy": 0.5596330275229358,
|
151 |
+
"eval_f1": 0.46723852012270245,
|
152 |
+
"eval_loss": 1.2149937152862549,
|
153 |
+
"eval_precision": 0.5440134711415631,
|
154 |
+
"eval_recall": 0.5596330275229358,
|
155 |
+
"eval_runtime": 4.3712,
|
156 |
+
"eval_samples_per_second": 24.936,
|
157 |
+
"eval_steps_per_second": 0.458,
|
158 |
"step": 72
|
159 |
},
|
160 |
{
|
161 |
"epoch": 9.97,
|
162 |
+
"learning_rate": 0.00011666666666666667,
|
163 |
+
"loss": 1.2371,
|
164 |
"step": 80
|
165 |
},
|
166 |
{
|
167 |
"epoch": 9.97,
|
168 |
+
"eval_accuracy": 0.5963302752293578,
|
169 |
+
"eval_f1": 0.5100508405791544,
|
170 |
+
"eval_loss": 1.1580270528793335,
|
171 |
+
"eval_precision": 0.5659333353788879,
|
172 |
+
"eval_recall": 0.5963302752293578,
|
173 |
+
"eval_runtime": 4.2133,
|
174 |
+
"eval_samples_per_second": 25.87,
|
175 |
+
"eval_steps_per_second": 0.475,
|
176 |
"step": 80
|
177 |
},
|
178 |
{
|
179 |
"epoch": 10.97,
|
180 |
+
"eval_accuracy": 0.6055045871559633,
|
181 |
+
"eval_f1": 0.5211004609031267,
|
182 |
+
"eval_loss": 1.066982388496399,
|
183 |
+
"eval_precision": 0.7279186904119446,
|
184 |
+
"eval_recall": 0.6055045871559633,
|
185 |
+
"eval_runtime": 14.5277,
|
186 |
+
"eval_samples_per_second": 7.503,
|
187 |
+
"eval_steps_per_second": 0.138,
|
188 |
"step": 88
|
189 |
},
|
190 |
{
|
191 |
"epoch": 11.24,
|
192 |
+
"learning_rate": 0.00011458333333333334,
|
193 |
+
"loss": 1.1736,
|
194 |
"step": 90
|
195 |
},
|
196 |
{
|
197 |
"epoch": 11.97,
|
198 |
+
"eval_accuracy": 0.6605504587155964,
|
199 |
+
"eval_f1": 0.5771675777046106,
|
200 |
+
"eval_loss": 0.9855989813804626,
|
201 |
+
"eval_precision": 0.5536726213674042,
|
202 |
+
"eval_recall": 0.6605504587155964,
|
203 |
+
"eval_runtime": 4.2828,
|
204 |
+
"eval_samples_per_second": 25.451,
|
205 |
+
"eval_steps_per_second": 0.467,
|
206 |
"step": 96
|
207 |
},
|
208 |
{
|
209 |
"epoch": 12.48,
|
210 |
+
"learning_rate": 0.0001125,
|
211 |
+
"loss": 1.0457,
|
212 |
"step": 100
|
213 |
},
|
214 |
{
|
215 |
"epoch": 12.97,
|
216 |
+
"eval_accuracy": 0.6697247706422018,
|
217 |
+
"eval_f1": 0.5964926350313968,
|
218 |
+
"eval_loss": 0.896264374256134,
|
219 |
+
"eval_precision": 0.763141515721791,
|
220 |
+
"eval_recall": 0.6697247706422018,
|
221 |
+
"eval_runtime": 4.2315,
|
222 |
+
"eval_samples_per_second": 25.759,
|
223 |
+
"eval_steps_per_second": 0.473,
|
224 |
"step": 104
|
225 |
},
|
226 |
{
|
227 |
"epoch": 13.73,
|
228 |
+
"learning_rate": 0.00011041666666666666,
|
229 |
+
"loss": 0.953,
|
230 |
"step": 110
|
231 |
},
|
232 |
{
|
233 |
"epoch": 13.97,
|
234 |
+
"eval_accuracy": 0.6697247706422018,
|
235 |
+
"eval_f1": 0.6081464096911078,
|
236 |
+
"eval_loss": 0.8546512722969055,
|
237 |
+
"eval_precision": 0.6884856947005512,
|
238 |
+
"eval_recall": 0.6697247706422018,
|
239 |
+
"eval_runtime": 4.4534,
|
240 |
+
"eval_samples_per_second": 24.476,
|
241 |
+
"eval_steps_per_second": 0.449,
|
242 |
"step": 112
|
243 |
},
|
244 |
{
|
245 |
"epoch": 14.97,
|
246 |
+
"learning_rate": 0.00010833333333333334,
|
247 |
+
"loss": 0.8579,
|
248 |
"step": 120
|
249 |
},
|
250 |
{
|
251 |
"epoch": 14.97,
|
252 |
+
"eval_accuracy": 0.7155963302752294,
|
253 |
+
"eval_f1": 0.6643295304342026,
|
254 |
+
"eval_loss": 0.7848823070526123,
|
255 |
+
"eval_precision": 0.7396182317656428,
|
256 |
+
"eval_recall": 0.7155963302752294,
|
257 |
+
"eval_runtime": 4.1662,
|
258 |
+
"eval_samples_per_second": 26.163,
|
259 |
+
"eval_steps_per_second": 0.48,
|
260 |
"step": 120
|
261 |
},
|
262 |
{
|
263 |
"epoch": 15.97,
|
264 |
+
"eval_accuracy": 0.7431192660550459,
|
265 |
+
"eval_f1": 0.711852075310986,
|
266 |
+
"eval_loss": 0.7563745379447937,
|
267 |
+
"eval_precision": 0.7371817784661822,
|
268 |
+
"eval_recall": 0.7431192660550459,
|
269 |
+
"eval_runtime": 4.2674,
|
270 |
+
"eval_samples_per_second": 25.542,
|
271 |
+
"eval_steps_per_second": 0.469,
|
272 |
"step": 128
|
273 |
},
|
274 |
{
|
275 |
"epoch": 16.24,
|
276 |
+
"learning_rate": 0.00010625,
|
277 |
+
"loss": 0.8167,
|
278 |
"step": 130
|
279 |
},
|
280 |
{
|
281 |
"epoch": 16.97,
|
282 |
+
"eval_accuracy": 0.7614678899082569,
|
283 |
+
"eval_f1": 0.7210716889645992,
|
284 |
+
"eval_loss": 0.7132583260536194,
|
285 |
+
"eval_precision": 0.7506553079947577,
|
286 |
+
"eval_recall": 0.7614678899082569,
|
287 |
+
"eval_runtime": 4.1418,
|
288 |
+
"eval_samples_per_second": 26.317,
|
289 |
+
"eval_steps_per_second": 0.483,
|
290 |
"step": 136
|
291 |
},
|
292 |
{
|
293 |
"epoch": 17.48,
|
294 |
+
"learning_rate": 0.00010416666666666667,
|
295 |
+
"loss": 0.7273,
|
296 |
"step": 140
|
297 |
},
|
298 |
{
|
299 |
"epoch": 17.97,
|
300 |
+
"eval_accuracy": 0.7522935779816514,
|
301 |
+
"eval_f1": 0.7202155642522615,
|
302 |
+
"eval_loss": 0.6887747645378113,
|
303 |
+
"eval_precision": 0.7378685592291271,
|
304 |
+
"eval_recall": 0.7522935779816514,
|
305 |
+
"eval_runtime": 4.5118,
|
306 |
+
"eval_samples_per_second": 24.159,
|
307 |
+
"eval_steps_per_second": 0.443,
|
308 |
"step": 144
|
309 |
},
|
310 |
{
|
311 |
"epoch": 18.73,
|
312 |
+
"learning_rate": 0.00010208333333333334,
|
313 |
+
"loss": 0.6547,
|
314 |
"step": 150
|
315 |
},
|
316 |
{
|
317 |
"epoch": 18.97,
|
318 |
+
"eval_accuracy": 0.7798165137614679,
|
319 |
+
"eval_f1": 0.7576525411387797,
|
320 |
+
"eval_loss": 0.659186065196991,
|
321 |
+
"eval_precision": 0.7772903701802784,
|
322 |
+
"eval_recall": 0.7798165137614679,
|
323 |
+
"eval_runtime": 4.3816,
|
324 |
+
"eval_samples_per_second": 24.877,
|
325 |
+
"eval_steps_per_second": 0.456,
|
326 |
"step": 152
|
327 |
},
|
328 |
{
|
329 |
"epoch": 19.97,
|
330 |
+
"learning_rate": 0.0001,
|
331 |
+
"loss": 0.5963,
|
332 |
"step": 160
|
333 |
},
|
334 |
{
|
335 |
"epoch": 19.97,
|
336 |
+
"eval_accuracy": 0.7706422018348624,
|
337 |
+
"eval_f1": 0.7550663564666461,
|
338 |
+
"eval_loss": 0.6136144399642944,
|
339 |
+
"eval_precision": 0.764159781184113,
|
340 |
+
"eval_recall": 0.7706422018348624,
|
341 |
+
"eval_runtime": 4.2561,
|
342 |
+
"eval_samples_per_second": 25.61,
|
343 |
+
"eval_steps_per_second": 0.47,
|
344 |
"step": 160
|
345 |
},
|
346 |
{
|
347 |
+
"epoch": 20.97,
|
348 |
+
"eval_accuracy": 0.7889908256880734,
|
349 |
+
"eval_f1": 0.7786916064255194,
|
350 |
+
"eval_loss": 0.5723462700843811,
|
351 |
+
"eval_precision": 0.7801645588430826,
|
352 |
+
"eval_recall": 0.7889908256880734,
|
353 |
+
"eval_runtime": 5.2546,
|
354 |
+
"eval_samples_per_second": 20.744,
|
355 |
+
"eval_steps_per_second": 0.381,
|
356 |
+
"step": 168
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 21.24,
|
360 |
+
"learning_rate": 9.791666666666667e-05,
|
361 |
+
"loss": 0.551,
|
362 |
+
"step": 170
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 21.97,
|
366 |
+
"eval_accuracy": 0.7889908256880734,
|
367 |
+
"eval_f1": 0.7780894219567608,
|
368 |
+
"eval_loss": 0.5686229467391968,
|
369 |
+
"eval_precision": 0.776092121476891,
|
370 |
+
"eval_recall": 0.7889908256880734,
|
371 |
+
"eval_runtime": 4.3144,
|
372 |
+
"eval_samples_per_second": 25.264,
|
373 |
+
"eval_steps_per_second": 0.464,
|
374 |
+
"step": 176
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 22.48,
|
378 |
+
"learning_rate": 9.583333333333334e-05,
|
379 |
+
"loss": 0.4929,
|
380 |
+
"step": 180
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 22.97,
|
384 |
+
"eval_accuracy": 0.7706422018348624,
|
385 |
+
"eval_f1": 0.7651464296127533,
|
386 |
+
"eval_loss": 0.5596823692321777,
|
387 |
+
"eval_precision": 0.7649127896435436,
|
388 |
+
"eval_recall": 0.7706422018348624,
|
389 |
+
"eval_runtime": 4.4326,
|
390 |
+
"eval_samples_per_second": 24.59,
|
391 |
+
"eval_steps_per_second": 0.451,
|
392 |
+
"step": 184
|
393 |
+
},
|
394 |
+
{
|
395 |
+
"epoch": 23.73,
|
396 |
+
"learning_rate": 9.375e-05,
|
397 |
+
"loss": 0.4309,
|
398 |
+
"step": 190
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 23.97,
|
402 |
+
"eval_accuracy": 0.7889908256880734,
|
403 |
+
"eval_f1": 0.781022184850044,
|
404 |
+
"eval_loss": 0.5233965516090393,
|
405 |
+
"eval_precision": 0.7774110647118855,
|
406 |
+
"eval_recall": 0.7889908256880734,
|
407 |
+
"eval_runtime": 4.3167,
|
408 |
+
"eval_samples_per_second": 25.251,
|
409 |
+
"eval_steps_per_second": 0.463,
|
410 |
+
"step": 192
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 24.97,
|
414 |
+
"learning_rate": 9.166666666666667e-05,
|
415 |
+
"loss": 0.3945,
|
416 |
+
"step": 200
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 24.97,
|
420 |
+
"eval_accuracy": 0.7889908256880734,
|
421 |
+
"eval_f1": 0.7812909567496724,
|
422 |
+
"eval_loss": 0.5007840991020203,
|
423 |
+
"eval_precision": 0.7836723839914905,
|
424 |
+
"eval_recall": 0.7889908256880734,
|
425 |
+
"eval_runtime": 4.3513,
|
426 |
+
"eval_samples_per_second": 25.05,
|
427 |
+
"eval_steps_per_second": 0.46,
|
428 |
+
"step": 200
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 25.97,
|
432 |
+
"eval_accuracy": 0.7522935779816514,
|
433 |
+
"eval_f1": 0.7528893125223401,
|
434 |
+
"eval_loss": 0.5289302468299866,
|
435 |
+
"eval_precision": 0.7537344154316632,
|
436 |
+
"eval_recall": 0.7522935779816514,
|
437 |
+
"eval_runtime": 4.3647,
|
438 |
+
"eval_samples_per_second": 24.973,
|
439 |
+
"eval_steps_per_second": 0.458,
|
440 |
+
"step": 208
|
441 |
+
},
|
442 |
+
{
|
443 |
+
"epoch": 26.24,
|
444 |
+
"learning_rate": 8.958333333333333e-05,
|
445 |
+
"loss": 0.3704,
|
446 |
+
"step": 210
|
447 |
+
},
|
448 |
+
{
|
449 |
+
"epoch": 26.97,
|
450 |
+
"eval_accuracy": 0.7981651376146789,
|
451 |
+
"eval_f1": 0.7962706746091569,
|
452 |
+
"eval_loss": 0.4399118423461914,
|
453 |
+
"eval_precision": 0.7957732392169626,
|
454 |
+
"eval_recall": 0.7981651376146789,
|
455 |
+
"eval_runtime": 4.2147,
|
456 |
+
"eval_samples_per_second": 25.862,
|
457 |
+
"eval_steps_per_second": 0.475,
|
458 |
+
"step": 216
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 27.48,
|
462 |
+
"learning_rate": 8.75e-05,
|
463 |
+
"loss": 0.3267,
|
464 |
+
"step": 220
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 27.97,
|
468 |
+
"eval_accuracy": 0.8073394495412844,
|
469 |
+
"eval_f1": 0.8005365278178692,
|
470 |
+
"eval_loss": 0.4539415240287781,
|
471 |
+
"eval_precision": 0.7983420088683247,
|
472 |
+
"eval_recall": 0.8073394495412844,
|
473 |
+
"eval_runtime": 4.2272,
|
474 |
+
"eval_samples_per_second": 25.785,
|
475 |
+
"eval_steps_per_second": 0.473,
|
476 |
+
"step": 224
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 28.73,
|
480 |
+
"learning_rate": 8.541666666666668e-05,
|
481 |
+
"loss": 0.2966,
|
482 |
+
"step": 230
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 28.97,
|
486 |
+
"eval_accuracy": 0.7798165137614679,
|
487 |
+
"eval_f1": 0.7837137974455839,
|
488 |
+
"eval_loss": 0.4734969735145569,
|
489 |
+
"eval_precision": 0.789241175758926,
|
490 |
+
"eval_recall": 0.7798165137614679,
|
491 |
+
"eval_runtime": 4.2368,
|
492 |
+
"eval_samples_per_second": 25.727,
|
493 |
+
"eval_steps_per_second": 0.472,
|
494 |
+
"step": 232
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 29.97,
|
498 |
+
"learning_rate": 8.333333333333333e-05,
|
499 |
+
"loss": 0.2645,
|
500 |
+
"step": 240
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 29.97,
|
504 |
+
"eval_accuracy": 0.7706422018348624,
|
505 |
+
"eval_f1": 0.7706422018348624,
|
506 |
+
"eval_loss": 0.4594463109970093,
|
507 |
+
"eval_precision": 0.7706422018348624,
|
508 |
+
"eval_recall": 0.7706422018348624,
|
509 |
+
"eval_runtime": 4.3943,
|
510 |
+
"eval_samples_per_second": 24.805,
|
511 |
+
"eval_steps_per_second": 0.455,
|
512 |
+
"step": 240
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 30.97,
|
516 |
+
"eval_accuracy": 0.7522935779816514,
|
517 |
+
"eval_f1": 0.7533140030125614,
|
518 |
+
"eval_loss": 0.4698648750782013,
|
519 |
+
"eval_precision": 0.7554437319096274,
|
520 |
+
"eval_recall": 0.7522935779816514,
|
521 |
+
"eval_runtime": 4.1296,
|
522 |
+
"eval_samples_per_second": 26.394,
|
523 |
+
"eval_steps_per_second": 0.484,
|
524 |
+
"step": 248
|
525 |
+
},
|
526 |
+
{
|
527 |
+
"epoch": 31.24,
|
528 |
+
"learning_rate": 8.125000000000001e-05,
|
529 |
+
"loss": 0.2527,
|
530 |
+
"step": 250
|
531 |
+
},
|
532 |
+
{
|
533 |
+
"epoch": 31.97,
|
534 |
+
"eval_accuracy": 0.7889908256880734,
|
535 |
+
"eval_f1": 0.7856523955147808,
|
536 |
+
"eval_loss": 0.45513755083084106,
|
537 |
+
"eval_precision": 0.785609816323817,
|
538 |
+
"eval_recall": 0.7889908256880734,
|
539 |
+
"eval_runtime": 4.1348,
|
540 |
+
"eval_samples_per_second": 26.361,
|
541 |
+
"eval_steps_per_second": 0.484,
|
542 |
+
"step": 256
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 32.48,
|
546 |
+
"learning_rate": 7.916666666666666e-05,
|
547 |
+
"loss": 0.2202,
|
548 |
+
"step": 260
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 32.97,
|
552 |
+
"eval_accuracy": 0.8165137614678899,
|
553 |
+
"eval_f1": 0.8170336224601304,
|
554 |
+
"eval_loss": 0.4457748532295227,
|
555 |
+
"eval_precision": 0.8197900424266599,
|
556 |
+
"eval_recall": 0.8165137614678899,
|
557 |
+
"eval_runtime": 5.1689,
|
558 |
+
"eval_samples_per_second": 21.087,
|
559 |
+
"eval_steps_per_second": 0.387,
|
560 |
+
"step": 264
|
561 |
+
},
|
562 |
+
{
|
563 |
+
"epoch": 33.73,
|
564 |
+
"learning_rate": 7.708333333333334e-05,
|
565 |
+
"loss": 0.2006,
|
566 |
+
"step": 270
|
567 |
+
},
|
568 |
+
{
|
569 |
+
"epoch": 33.97,
|
570 |
+
"eval_accuracy": 0.7798165137614679,
|
571 |
+
"eval_f1": 0.7850412357933325,
|
572 |
+
"eval_loss": 0.46321260929107666,
|
573 |
+
"eval_precision": 0.7940749153601442,
|
574 |
+
"eval_recall": 0.7798165137614679,
|
575 |
+
"eval_runtime": 4.2326,
|
576 |
+
"eval_samples_per_second": 25.752,
|
577 |
+
"eval_steps_per_second": 0.473,
|
578 |
+
"step": 272
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 34.97,
|
582 |
+
"learning_rate": 7.500000000000001e-05,
|
583 |
+
"loss": 0.1589,
|
584 |
+
"step": 280
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 34.97,
|
588 |
+
"eval_accuracy": 0.7889908256880734,
|
589 |
+
"eval_f1": 0.7925041274199247,
|
590 |
+
"eval_loss": 0.46511203050613403,
|
591 |
+
"eval_precision": 0.7993275970140749,
|
592 |
+
"eval_recall": 0.7889908256880734,
|
593 |
+
"eval_runtime": 4.1566,
|
594 |
+
"eval_samples_per_second": 26.223,
|
595 |
+
"eval_steps_per_second": 0.481,
|
596 |
+
"step": 280
|
597 |
+
},
|
598 |
+
{
|
599 |
+
"epoch": 35.97,
|
600 |
+
"eval_accuracy": 0.7798165137614679,
|
601 |
+
"eval_f1": 0.7803733958918072,
|
602 |
+
"eval_loss": 0.45948973298072815,
|
603 |
+
"eval_precision": 0.7823930357635982,
|
604 |
+
"eval_recall": 0.7798165137614679,
|
605 |
+
"eval_runtime": 4.3202,
|
606 |
+
"eval_samples_per_second": 25.23,
|
607 |
+
"eval_steps_per_second": 0.463,
|
608 |
+
"step": 288
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 36.24,
|
612 |
+
"learning_rate": 7.291666666666666e-05,
|
613 |
+
"loss": 0.153,
|
614 |
+
"step": 290
|
615 |
+
},
|
616 |
+
{
|
617 |
+
"epoch": 36.97,
|
618 |
+
"eval_accuracy": 0.7614678899082569,
|
619 |
+
"eval_f1": 0.7632546001327497,
|
620 |
+
"eval_loss": 0.458363801240921,
|
621 |
+
"eval_precision": 0.7690950187958565,
|
622 |
+
"eval_recall": 0.7614678899082569,
|
623 |
+
"eval_runtime": 4.4275,
|
624 |
+
"eval_samples_per_second": 24.619,
|
625 |
+
"eval_steps_per_second": 0.452,
|
626 |
+
"step": 296
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 37.48,
|
630 |
+
"learning_rate": 7.083333333333334e-05,
|
631 |
+
"loss": 0.1427,
|
632 |
+
"step": 300
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 37.97,
|
636 |
+
"eval_accuracy": 0.7798165137614679,
|
637 |
+
"eval_f1": 0.7796360891921739,
|
638 |
+
"eval_loss": 0.46078726649284363,
|
639 |
+
"eval_precision": 0.782995656118911,
|
640 |
+
"eval_recall": 0.7798165137614679,
|
641 |
+
"eval_runtime": 4.4461,
|
642 |
+
"eval_samples_per_second": 24.516,
|
643 |
+
"eval_steps_per_second": 0.45,
|
644 |
+
"step": 304
|
645 |
+
},
|
646 |
+
{
|
647 |
+
"epoch": 38.73,
|
648 |
+
"learning_rate": 6.874999999999999e-05,
|
649 |
+
"loss": 0.113,
|
650 |
+
"step": 310
|
651 |
+
},
|
652 |
+
{
|
653 |
+
"epoch": 38.97,
|
654 |
+
"eval_accuracy": 0.7889908256880734,
|
655 |
+
"eval_f1": 0.7898954921921011,
|
656 |
+
"eval_loss": 0.45713570713996887,
|
657 |
+
"eval_precision": 0.7922270390160299,
|
658 |
+
"eval_recall": 0.7889908256880734,
|
659 |
+
"eval_runtime": 4.3087,
|
660 |
+
"eval_samples_per_second": 25.297,
|
661 |
+
"eval_steps_per_second": 0.464,
|
662 |
+
"step": 312
|
663 |
+
},
|
664 |
+
{
|
665 |
+
"epoch": 39.97,
|
666 |
+
"learning_rate": 6.666666666666667e-05,
|
667 |
+
"loss": 0.1146,
|
668 |
+
"step": 320
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 39.97,
|
672 |
+
"eval_accuracy": 0.7614678899082569,
|
673 |
+
"eval_f1": 0.7612891030218949,
|
674 |
+
"eval_loss": 0.5269873142242432,
|
675 |
+
"eval_precision": 0.765128347697155,
|
676 |
+
"eval_recall": 0.7614678899082569,
|
677 |
+
"eval_runtime": 4.2908,
|
678 |
+
"eval_samples_per_second": 25.403,
|
679 |
+
"eval_steps_per_second": 0.466,
|
680 |
+
"step": 320
|
681 |
+
},
|
682 |
+
{
|
683 |
+
"epoch": 40.97,
|
684 |
+
"eval_accuracy": 0.7706422018348624,
|
685 |
+
"eval_f1": 0.7709516996486127,
|
686 |
+
"eval_loss": 0.48878130316734314,
|
687 |
+
"eval_precision": 0.7781771515945828,
|
688 |
+
"eval_recall": 0.7706422018348624,
|
689 |
+
"eval_runtime": 4.3303,
|
690 |
+
"eval_samples_per_second": 25.171,
|
691 |
+
"eval_steps_per_second": 0.462,
|
692 |
+
"step": 328
|
693 |
+
},
|
694 |
+
{
|
695 |
+
"epoch": 41.24,
|
696 |
+
"learning_rate": 6.458333333333334e-05,
|
697 |
+
"loss": 0.1275,
|
698 |
+
"step": 330
|
699 |
+
},
|
700 |
+
{
|
701 |
+
"epoch": 41.97,
|
702 |
+
"eval_accuracy": 0.7889908256880734,
|
703 |
+
"eval_f1": 0.7836706749228535,
|
704 |
+
"eval_loss": 0.4523099958896637,
|
705 |
+
"eval_precision": 0.780905883107718,
|
706 |
+
"eval_recall": 0.7889908256880734,
|
707 |
+
"eval_runtime": 4.2033,
|
708 |
+
"eval_samples_per_second": 25.932,
|
709 |
+
"eval_steps_per_second": 0.476,
|
710 |
+
"step": 336
|
711 |
+
},
|
712 |
+
{
|
713 |
+
"epoch": 42.48,
|
714 |
+
"learning_rate": 6.25e-05,
|
715 |
+
"loss": 0.0959,
|
716 |
+
"step": 340
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 42.97,
|
720 |
+
"eval_accuracy": 0.7798165137614679,
|
721 |
+
"eval_f1": 0.7767063396275014,
|
722 |
+
"eval_loss": 0.46965503692626953,
|
723 |
+
"eval_precision": 0.7753268138589239,
|
724 |
+
"eval_recall": 0.7798165137614679,
|
725 |
+
"eval_runtime": 4.3242,
|
726 |
+
"eval_samples_per_second": 25.207,
|
727 |
+
"eval_steps_per_second": 0.463,
|
728 |
+
"step": 344
|
729 |
+
},
|
730 |
+
{
|
731 |
+
"epoch": 43.73,
|
732 |
+
"learning_rate": 6.041666666666667e-05,
|
733 |
+
"loss": 0.0882,
|
734 |
+
"step": 350
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 43.97,
|
738 |
+
"eval_accuracy": 0.7706422018348624,
|
739 |
+
"eval_f1": 0.7685729724992435,
|
740 |
+
"eval_loss": 0.4286104738712311,
|
741 |
+
"eval_precision": 0.7685932721712537,
|
742 |
+
"eval_recall": 0.7706422018348624,
|
743 |
+
"eval_runtime": 4.4175,
|
744 |
+
"eval_samples_per_second": 24.675,
|
745 |
+
"eval_steps_per_second": 0.453,
|
746 |
+
"step": 352
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 44.97,
|
750 |
+
"learning_rate": 5.833333333333333e-05,
|
751 |
+
"loss": 0.0847,
|
752 |
+
"step": 360
|
753 |
+
},
|
754 |
+
{
|
755 |
+
"epoch": 44.97,
|
756 |
+
"eval_accuracy": 0.7889908256880734,
|
757 |
+
"eval_f1": 0.7925041274199247,
|
758 |
+
"eval_loss": 0.5317460298538208,
|
759 |
+
"eval_precision": 0.7993275970140749,
|
760 |
+
"eval_recall": 0.7889908256880734,
|
761 |
+
"eval_runtime": 6.0042,
|
762 |
+
"eval_samples_per_second": 18.154,
|
763 |
+
"eval_steps_per_second": 0.333,
|
764 |
+
"step": 360
|
765 |
+
},
|
766 |
+
{
|
767 |
+
"epoch": 45.97,
|
768 |
+
"eval_accuracy": 0.7614678899082569,
|
769 |
+
"eval_f1": 0.7646893115457605,
|
770 |
+
"eval_loss": 0.5431071519851685,
|
771 |
+
"eval_precision": 0.7699552364490537,
|
772 |
+
"eval_recall": 0.7614678899082569,
|
773 |
+
"eval_runtime": 4.3547,
|
774 |
+
"eval_samples_per_second": 25.03,
|
775 |
+
"eval_steps_per_second": 0.459,
|
776 |
+
"step": 368
|
777 |
+
},
|
778 |
+
{
|
779 |
+
"epoch": 46.24,
|
780 |
+
"learning_rate": 5.625e-05,
|
781 |
+
"loss": 0.0813,
|
782 |
+
"step": 370
|
783 |
+
},
|
784 |
+
{
|
785 |
+
"epoch": 46.97,
|
786 |
+
"eval_accuracy": 0.8256880733944955,
|
787 |
+
"eval_f1": 0.8284158367266842,
|
788 |
+
"eval_loss": 0.44316479563713074,
|
789 |
+
"eval_precision": 0.843538901662607,
|
790 |
+
"eval_recall": 0.8256880733944955,
|
791 |
+
"eval_runtime": 4.2714,
|
792 |
+
"eval_samples_per_second": 25.519,
|
793 |
+
"eval_steps_per_second": 0.468,
|
794 |
+
"step": 376
|
795 |
+
},
|
796 |
+
{
|
797 |
+
"epoch": 47.48,
|
798 |
+
"learning_rate": 5.416666666666667e-05,
|
799 |
+
"loss": 0.0768,
|
800 |
+
"step": 380
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 47.97,
|
804 |
+
"eval_accuracy": 0.7981651376146789,
|
805 |
+
"eval_f1": 0.7955546490941502,
|
806 |
+
"eval_loss": 0.4885597229003906,
|
807 |
+
"eval_precision": 0.8005162605636117,
|
808 |
+
"eval_recall": 0.7981651376146789,
|
809 |
+
"eval_runtime": 4.2576,
|
810 |
+
"eval_samples_per_second": 25.602,
|
811 |
+
"eval_steps_per_second": 0.47,
|
812 |
+
"step": 384
|
813 |
+
},
|
814 |
+
{
|
815 |
+
"epoch": 48.73,
|
816 |
+
"learning_rate": 5.208333333333334e-05,
|
817 |
+
"loss": 0.0627,
|
818 |
+
"step": 390
|
819 |
+
},
|
820 |
+
{
|
821 |
+
"epoch": 48.97,
|
822 |
+
"eval_accuracy": 0.7981651376146789,
|
823 |
+
"eval_f1": 0.8009727230444837,
|
824 |
+
"eval_loss": 0.5372528433799744,
|
825 |
+
"eval_precision": 0.8071912929511652,
|
826 |
+
"eval_recall": 0.7981651376146789,
|
827 |
+
"eval_runtime": 4.3763,
|
828 |
+
"eval_samples_per_second": 24.907,
|
829 |
+
"eval_steps_per_second": 0.457,
|
830 |
+
"step": 392
|
831 |
+
},
|
832 |
+
{
|
833 |
+
"epoch": 49.97,
|
834 |
+
"learning_rate": 5e-05,
|
835 |
+
"loss": 0.0688,
|
836 |
+
"step": 400
|
837 |
+
},
|
838 |
+
{
|
839 |
+
"epoch": 49.97,
|
840 |
+
"eval_accuracy": 0.7798165137614679,
|
841 |
+
"eval_f1": 0.7822443312570955,
|
842 |
+
"eval_loss": 0.5896694660186768,
|
843 |
+
"eval_precision": 0.789232725399693,
|
844 |
+
"eval_recall": 0.7798165137614679,
|
845 |
+
"eval_runtime": 4.3692,
|
846 |
+
"eval_samples_per_second": 24.947,
|
847 |
+
"eval_steps_per_second": 0.458,
|
848 |
+
"step": 400
|
849 |
+
},
|
850 |
+
{
|
851 |
+
"epoch": 50.97,
|
852 |
+
"eval_accuracy": 0.7981651376146789,
|
853 |
+
"eval_f1": 0.7992371326578404,
|
854 |
+
"eval_loss": 0.5114642977714539,
|
855 |
+
"eval_precision": 0.8014849021031709,
|
856 |
+
"eval_recall": 0.7981651376146789,
|
857 |
+
"eval_runtime": 4.3028,
|
858 |
+
"eval_samples_per_second": 25.332,
|
859 |
+
"eval_steps_per_second": 0.465,
|
860 |
+
"step": 408
|
861 |
+
},
|
862 |
+
{
|
863 |
+
"epoch": 51.24,
|
864 |
+
"learning_rate": 4.791666666666667e-05,
|
865 |
+
"loss": 0.0676,
|
866 |
+
"step": 410
|
867 |
+
},
|
868 |
+
{
|
869 |
+
"epoch": 51.97,
|
870 |
+
"eval_accuracy": 0.7981651376146789,
|
871 |
+
"eval_f1": 0.7977993643940755,
|
872 |
+
"eval_loss": 0.4881470799446106,
|
873 |
+
"eval_precision": 0.7998301588132414,
|
874 |
+
"eval_recall": 0.7981651376146789,
|
875 |
+
"eval_runtime": 4.3212,
|
876 |
+
"eval_samples_per_second": 25.224,
|
877 |
+
"eval_steps_per_second": 0.463,
|
878 |
+
"step": 416
|
879 |
+
},
|
880 |
+
{
|
881 |
+
"epoch": 52.48,
|
882 |
+
"learning_rate": 4.5833333333333334e-05,
|
883 |
+
"loss": 0.0539,
|
884 |
+
"step": 420
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 52.97,
|
888 |
+
"eval_accuracy": 0.8073394495412844,
|
889 |
+
"eval_f1": 0.807691055721277,
|
890 |
+
"eval_loss": 0.4819609224796295,
|
891 |
+
"eval_precision": 0.8138503399273244,
|
892 |
+
"eval_recall": 0.8073394495412844,
|
893 |
+
"eval_runtime": 4.3125,
|
894 |
+
"eval_samples_per_second": 25.276,
|
895 |
+
"eval_steps_per_second": 0.464,
|
896 |
+
"step": 424
|
897 |
+
},
|
898 |
+
{
|
899 |
+
"epoch": 53.73,
|
900 |
+
"learning_rate": 4.375e-05,
|
901 |
+
"loss": 0.0596,
|
902 |
+
"step": 430
|
903 |
+
},
|
904 |
+
{
|
905 |
+
"epoch": 53.97,
|
906 |
+
"eval_accuracy": 0.8256880733944955,
|
907 |
+
"eval_f1": 0.8244465797713664,
|
908 |
+
"eval_loss": 0.4449571669101715,
|
909 |
+
"eval_precision": 0.8245908379614004,
|
910 |
+
"eval_recall": 0.8256880733944955,
|
911 |
+
"eval_runtime": 5.8195,
|
912 |
+
"eval_samples_per_second": 18.73,
|
913 |
+
"eval_steps_per_second": 0.344,
|
914 |
+
"step": 432
|
915 |
+
},
|
916 |
+
{
|
917 |
+
"epoch": 54.97,
|
918 |
+
"learning_rate": 4.1666666666666665e-05,
|
919 |
+
"loss": 0.0611,
|
920 |
+
"step": 440
|
921 |
+
},
|
922 |
+
{
|
923 |
+
"epoch": 54.97,
|
924 |
+
"eval_accuracy": 0.7889908256880734,
|
925 |
+
"eval_f1": 0.7924465793472197,
|
926 |
+
"eval_loss": 0.5057494044303894,
|
927 |
+
"eval_precision": 0.8008019735410222,
|
928 |
+
"eval_recall": 0.7889908256880734,
|
929 |
+
"eval_runtime": 4.6616,
|
930 |
+
"eval_samples_per_second": 23.383,
|
931 |
+
"eval_steps_per_second": 0.429,
|
932 |
+
"step": 440
|
933 |
+
},
|
934 |
+
{
|
935 |
+
"epoch": 55.97,
|
936 |
+
"eval_accuracy": 0.7981651376146789,
|
937 |
+
"eval_f1": 0.8008031371900772,
|
938 |
+
"eval_loss": 0.4918478727340698,
|
939 |
+
"eval_precision": 0.8056331161636306,
|
940 |
+
"eval_recall": 0.7981651376146789,
|
941 |
+
"eval_runtime": 4.8639,
|
942 |
+
"eval_samples_per_second": 22.41,
|
943 |
+
"eval_steps_per_second": 0.411,
|
944 |
+
"step": 448
|
945 |
+
},
|
946 |
+
{
|
947 |
+
"epoch": 56.24,
|
948 |
+
"learning_rate": 3.958333333333333e-05,
|
949 |
+
"loss": 0.0643,
|
950 |
+
"step": 450
|
951 |
+
},
|
952 |
+
{
|
953 |
+
"epoch": 56.97,
|
954 |
+
"eval_accuracy": 0.7522935779816514,
|
955 |
+
"eval_f1": 0.7545272459450874,
|
956 |
+
"eval_loss": 0.5946044325828552,
|
957 |
+
"eval_precision": 0.7587394976605187,
|
958 |
+
"eval_recall": 0.7522935779816514,
|
959 |
+
"eval_runtime": 4.4153,
|
960 |
+
"eval_samples_per_second": 24.687,
|
961 |
+
"eval_steps_per_second": 0.453,
|
962 |
+
"step": 456
|
963 |
+
},
|
964 |
+
{
|
965 |
+
"epoch": 57.48,
|
966 |
+
"learning_rate": 3.7500000000000003e-05,
|
967 |
+
"loss": 0.0605,
|
968 |
+
"step": 460
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 57.97,
|
972 |
+
"eval_accuracy": 0.8073394495412844,
|
973 |
+
"eval_f1": 0.8120936083458042,
|
974 |
+
"eval_loss": 0.4887966513633728,
|
975 |
+
"eval_precision": 0.8238645162528876,
|
976 |
+
"eval_recall": 0.8073394495412844,
|
977 |
+
"eval_runtime": 6.6734,
|
978 |
+
"eval_samples_per_second": 16.334,
|
979 |
+
"eval_steps_per_second": 0.3,
|
980 |
+
"step": 464
|
981 |
+
},
|
982 |
+
{
|
983 |
+
"epoch": 58.73,
|
984 |
+
"learning_rate": 3.541666666666667e-05,
|
985 |
+
"loss": 0.063,
|
986 |
+
"step": 470
|
987 |
+
},
|
988 |
+
{
|
989 |
+
"epoch": 58.97,
|
990 |
+
"eval_accuracy": 0.7889908256880734,
|
991 |
+
"eval_f1": 0.7936673558168583,
|
992 |
+
"eval_loss": 0.5916518568992615,
|
993 |
+
"eval_precision": 0.8051419661311963,
|
994 |
+
"eval_recall": 0.7889908256880734,
|
995 |
+
"eval_runtime": 4.2726,
|
996 |
+
"eval_samples_per_second": 25.511,
|
997 |
+
"eval_steps_per_second": 0.468,
|
998 |
+
"step": 472
|
999 |
+
},
|
1000 |
+
{
|
1001 |
+
"epoch": 59.97,
|
1002 |
+
"learning_rate": 3.3333333333333335e-05,
|
1003 |
+
"loss": 0.0595,
|
1004 |
+
"step": 480
|
1005 |
+
},
|
1006 |
+
{
|
1007 |
+
"epoch": 59.97,
|
1008 |
+
"eval_accuracy": 0.7889908256880734,
|
1009 |
+
"eval_f1": 0.7894285298217145,
|
1010 |
+
"eval_loss": 0.5117025375366211,
|
1011 |
+
"eval_precision": 0.7904302906815871,
|
1012 |
+
"eval_recall": 0.7889908256880734,
|
1013 |
+
"eval_runtime": 4.4288,
|
1014 |
+
"eval_samples_per_second": 24.612,
|
1015 |
+
"eval_steps_per_second": 0.452,
|
1016 |
+
"step": 480
|
1017 |
+
},
|
1018 |
+
{
|
1019 |
+
"epoch": 60.97,
|
1020 |
+
"eval_accuracy": 0.7614678899082569,
|
1021 |
+
"eval_f1": 0.7635438011331693,
|
1022 |
+
"eval_loss": 0.549720048904419,
|
1023 |
+
"eval_precision": 0.769159484755815,
|
1024 |
+
"eval_recall": 0.7614678899082569,
|
1025 |
+
"eval_runtime": 4.2635,
|
1026 |
+
"eval_samples_per_second": 25.566,
|
1027 |
+
"eval_steps_per_second": 0.469,
|
1028 |
+
"step": 488
|
1029 |
+
},
|
1030 |
+
{
|
1031 |
+
"epoch": 61.24,
|
1032 |
+
"learning_rate": 3.125e-05,
|
1033 |
+
"loss": 0.0554,
|
1034 |
+
"step": 490
|
1035 |
+
},
|
1036 |
+
{
|
1037 |
+
"epoch": 61.97,
|
1038 |
+
"eval_accuracy": 0.8165137614678899,
|
1039 |
+
"eval_f1": 0.812552773801982,
|
1040 |
+
"eval_loss": 0.4742366075515747,
|
1041 |
+
"eval_precision": 0.8100926678908328,
|
1042 |
+
"eval_recall": 0.8165137614678899,
|
1043 |
+
"eval_runtime": 4.3801,
|
1044 |
+
"eval_samples_per_second": 24.885,
|
1045 |
+
"eval_steps_per_second": 0.457,
|
1046 |
+
"step": 496
|
1047 |
+
},
|
1048 |
+
{
|
1049 |
+
"epoch": 62.48,
|
1050 |
+
"learning_rate": 2.9166666666666666e-05,
|
1051 |
+
"loss": 0.0557,
|
1052 |
+
"step": 500
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 62.97,
|
1056 |
+
"eval_accuracy": 0.7889908256880734,
|
1057 |
+
"eval_f1": 0.7886246853481453,
|
1058 |
+
"eval_loss": 0.5369319915771484,
|
1059 |
+
"eval_precision": 0.7886251828214332,
|
1060 |
+
"eval_recall": 0.7889908256880734,
|
1061 |
+
"eval_runtime": 4.4776,
|
1062 |
+
"eval_samples_per_second": 24.343,
|
1063 |
+
"eval_steps_per_second": 0.447,
|
1064 |
+
"step": 504
|
1065 |
+
},
|
1066 |
+
{
|
1067 |
+
"epoch": 63.73,
|
1068 |
+
"learning_rate": 2.7083333333333335e-05,
|
1069 |
+
"loss": 0.0539,
|
1070 |
+
"step": 510
|
1071 |
+
},
|
1072 |
+
{
|
1073 |
+
"epoch": 63.97,
|
1074 |
+
"eval_accuracy": 0.7889908256880734,
|
1075 |
+
"eval_f1": 0.7898954921921011,
|
1076 |
+
"eval_loss": 0.5439756512641907,
|
1077 |
+
"eval_precision": 0.7922270390160299,
|
1078 |
+
"eval_recall": 0.7889908256880734,
|
1079 |
+
"eval_runtime": 4.4228,
|
1080 |
+
"eval_samples_per_second": 24.645,
|
1081 |
+
"eval_steps_per_second": 0.452,
|
1082 |
+
"step": 512
|
1083 |
+
},
|
1084 |
+
{
|
1085 |
+
"epoch": 64.97,
|
1086 |
+
"learning_rate": 2.5e-05,
|
1087 |
+
"loss": 0.048,
|
1088 |
+
"step": 520
|
1089 |
+
},
|
1090 |
+
{
|
1091 |
+
"epoch": 64.97,
|
1092 |
+
"eval_accuracy": 0.7889908256880734,
|
1093 |
+
"eval_f1": 0.7882784673502429,
|
1094 |
+
"eval_loss": 0.5923751592636108,
|
1095 |
+
"eval_precision": 0.7878178107535906,
|
1096 |
+
"eval_recall": 0.7889908256880734,
|
1097 |
+
"eval_runtime": 5.5392,
|
1098 |
+
"eval_samples_per_second": 19.678,
|
1099 |
+
"eval_steps_per_second": 0.361,
|
1100 |
+
"step": 520
|
1101 |
+
},
|
1102 |
+
{
|
1103 |
+
"epoch": 65.97,
|
1104 |
+
"eval_accuracy": 0.8440366972477065,
|
1105 |
+
"eval_f1": 0.8440366972477065,
|
1106 |
+
"eval_loss": 0.486260324716568,
|
1107 |
+
"eval_precision": 0.8440366972477065,
|
1108 |
+
"eval_recall": 0.8440366972477065,
|
1109 |
+
"eval_runtime": 4.2084,
|
1110 |
+
"eval_samples_per_second": 25.9,
|
1111 |
+
"eval_steps_per_second": 0.475,
|
1112 |
+
"step": 528
|
1113 |
+
},
|
1114 |
+
{
|
1115 |
+
"epoch": 66.24,
|
1116 |
+
"learning_rate": 2.2916666666666667e-05,
|
1117 |
+
"loss": 0.045,
|
1118 |
+
"step": 530
|
1119 |
+
},
|
1120 |
+
{
|
1121 |
+
"epoch": 66.97,
|
1122 |
+
"eval_accuracy": 0.8073394495412844,
|
1123 |
+
"eval_f1": 0.8046694749207712,
|
1124 |
+
"eval_loss": 0.5849686861038208,
|
1125 |
+
"eval_precision": 0.8076432996157767,
|
1126 |
+
"eval_recall": 0.8073394495412844,
|
1127 |
+
"eval_runtime": 4.3405,
|
1128 |
+
"eval_samples_per_second": 25.112,
|
1129 |
+
"eval_steps_per_second": 0.461,
|
1130 |
+
"step": 536
|
1131 |
+
},
|
1132 |
+
{
|
1133 |
+
"epoch": 67.48,
|
1134 |
+
"learning_rate": 2.0833333333333333e-05,
|
1135 |
+
"loss": 0.047,
|
1136 |
+
"step": 540
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 67.97,
|
1140 |
+
"eval_accuracy": 0.8256880733944955,
|
1141 |
+
"eval_f1": 0.8227139701424718,
|
1142 |
+
"eval_loss": 0.4938836991786957,
|
1143 |
+
"eval_precision": 0.8211639886949021,
|
1144 |
+
"eval_recall": 0.8256880733944955,
|
1145 |
+
"eval_runtime": 4.2943,
|
1146 |
+
"eval_samples_per_second": 25.382,
|
1147 |
+
"eval_steps_per_second": 0.466,
|
1148 |
+
"step": 544
|
1149 |
+
},
|
1150 |
+
{
|
1151 |
+
"epoch": 68.73,
|
1152 |
+
"learning_rate": 1.8750000000000002e-05,
|
1153 |
+
"loss": 0.0412,
|
1154 |
+
"step": 550
|
1155 |
+
},
|
1156 |
+
{
|
1157 |
+
"epoch": 68.97,
|
1158 |
+
"eval_accuracy": 0.7889908256880734,
|
1159 |
+
"eval_f1": 0.7899819010172877,
|
1160 |
+
"eval_loss": 0.4850451946258545,
|
1161 |
+
"eval_precision": 0.7911629060252914,
|
1162 |
+
"eval_recall": 0.7889908256880734,
|
1163 |
+
"eval_runtime": 4.3733,
|
1164 |
+
"eval_samples_per_second": 24.924,
|
1165 |
+
"eval_steps_per_second": 0.457,
|
1166 |
+
"step": 552
|
1167 |
+
},
|
1168 |
+
{
|
1169 |
+
"epoch": 69.97,
|
1170 |
+
"learning_rate": 1.6666666666666667e-05,
|
1171 |
+
"loss": 0.0392,
|
1172 |
+
"step": 560
|
1173 |
+
},
|
1174 |
+
{
|
1175 |
+
"epoch": 69.97,
|
1176 |
+
"eval_accuracy": 0.8256880733944955,
|
1177 |
+
"eval_f1": 0.8257529642156887,
|
1178 |
+
"eval_loss": 0.5065794587135315,
|
1179 |
+
"eval_precision": 0.8264957264957264,
|
1180 |
+
"eval_recall": 0.8256880733944955,
|
1181 |
+
"eval_runtime": 4.2901,
|
1182 |
+
"eval_samples_per_second": 25.407,
|
1183 |
+
"eval_steps_per_second": 0.466,
|
1184 |
+
"step": 560
|
1185 |
+
},
|
1186 |
+
{
|
1187 |
+
"epoch": 70.97,
|
1188 |
+
"eval_accuracy": 0.8073394495412844,
|
1189 |
+
"eval_f1": 0.8058135764557783,
|
1190 |
+
"eval_loss": 0.49649733304977417,
|
1191 |
+
"eval_precision": 0.8053007135575942,
|
1192 |
+
"eval_recall": 0.8073394495412844,
|
1193 |
+
"eval_runtime": 4.1424,
|
1194 |
+
"eval_samples_per_second": 26.313,
|
1195 |
+
"eval_steps_per_second": 0.483,
|
1196 |
+
"step": 568
|
1197 |
+
},
|
1198 |
+
{
|
1199 |
+
"epoch": 71.24,
|
1200 |
+
"learning_rate": 1.4583333333333333e-05,
|
1201 |
+
"loss": 0.0423,
|
1202 |
+
"step": 570
|
1203 |
+
},
|
1204 |
+
{
|
1205 |
+
"epoch": 71.97,
|
1206 |
+
"eval_accuracy": 0.8348623853211009,
|
1207 |
+
"eval_f1": 0.8350885030999028,
|
1208 |
+
"eval_loss": 0.47168704867362976,
|
1209 |
+
"eval_precision": 0.8376424034680915,
|
1210 |
+
"eval_recall": 0.8348623853211009,
|
1211 |
+
"eval_runtime": 4.1897,
|
1212 |
+
"eval_samples_per_second": 26.016,
|
1213 |
+
"eval_steps_per_second": 0.477,
|
1214 |
+
"step": 576
|
1215 |
+
},
|
1216 |
+
{
|
1217 |
+
"epoch": 72.48,
|
1218 |
+
"learning_rate": 1.25e-05,
|
1219 |
+
"loss": 0.0471,
|
1220 |
+
"step": 580
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 72.97,
|
1224 |
+
"eval_accuracy": 0.8256880733944955,
|
1225 |
+
"eval_f1": 0.8295520158325865,
|
1226 |
+
"eval_loss": 0.48450949788093567,
|
1227 |
+
"eval_precision": 0.837811160528748,
|
1228 |
+
"eval_recall": 0.8256880733944955,
|
1229 |
+
"eval_runtime": 4.2446,
|
1230 |
+
"eval_samples_per_second": 25.68,
|
1231 |
+
"eval_steps_per_second": 0.471,
|
1232 |
+
"step": 584
|
1233 |
+
},
|
1234 |
+
{
|
1235 |
+
"epoch": 73.73,
|
1236 |
+
"learning_rate": 1.0416666666666666e-05,
|
1237 |
+
"loss": 0.0322,
|
1238 |
+
"step": 590
|
1239 |
+
},
|
1240 |
+
{
|
1241 |
+
"epoch": 73.97,
|
1242 |
+
"eval_accuracy": 0.7706422018348624,
|
1243 |
+
"eval_f1": 0.7692886041532689,
|
1244 |
+
"eval_loss": 0.5188109278678894,
|
1245 |
+
"eval_precision": 0.7689271840647987,
|
1246 |
+
"eval_recall": 0.7706422018348624,
|
1247 |
+
"eval_runtime": 4.4833,
|
1248 |
+
"eval_samples_per_second": 24.313,
|
1249 |
+
"eval_steps_per_second": 0.446,
|
1250 |
+
"step": 592
|
1251 |
+
},
|
1252 |
+
{
|
1253 |
+
"epoch": 74.97,
|
1254 |
+
"learning_rate": 8.333333333333334e-06,
|
1255 |
+
"loss": 0.042,
|
1256 |
+
"step": 600
|
1257 |
+
},
|
1258 |
+
{
|
1259 |
+
"epoch": 74.97,
|
1260 |
+
"eval_accuracy": 0.7706422018348624,
|
1261 |
+
"eval_f1": 0.7700888306392893,
|
1262 |
+
"eval_loss": 0.5242283940315247,
|
1263 |
+
"eval_precision": 0.7698942959712803,
|
1264 |
+
"eval_recall": 0.7706422018348624,
|
1265 |
+
"eval_runtime": 4.4923,
|
1266 |
+
"eval_samples_per_second": 24.264,
|
1267 |
+
"eval_steps_per_second": 0.445,
|
1268 |
+
"step": 600
|
1269 |
+
},
|
1270 |
+
{
|
1271 |
+
"epoch": 75.97,
|
1272 |
+
"eval_accuracy": 0.7798165137614679,
|
1273 |
+
"eval_f1": 0.7803733958918072,
|
1274 |
+
"eval_loss": 0.5945499539375305,
|
1275 |
+
"eval_precision": 0.7823930357635982,
|
1276 |
+
"eval_recall": 0.7798165137614679,
|
1277 |
+
"eval_runtime": 5.1633,
|
1278 |
+
"eval_samples_per_second": 21.111,
|
1279 |
+
"eval_steps_per_second": 0.387,
|
1280 |
+
"step": 608
|
1281 |
+
},
|
1282 |
+
{
|
1283 |
+
"epoch": 76.24,
|
1284 |
+
"learning_rate": 6.25e-06,
|
1285 |
+
"loss": 0.0416,
|
1286 |
+
"step": 610
|
1287 |
+
},
|
1288 |
+
{
|
1289 |
+
"epoch": 76.97,
|
1290 |
+
"eval_accuracy": 0.7981651376146789,
|
1291 |
+
"eval_f1": 0.7993445642022374,
|
1292 |
+
"eval_loss": 0.5432426929473877,
|
1293 |
+
"eval_precision": 0.8038185145085823,
|
1294 |
+
"eval_recall": 0.7981651376146789,
|
1295 |
+
"eval_runtime": 4.2234,
|
1296 |
+
"eval_samples_per_second": 25.809,
|
1297 |
+
"eval_steps_per_second": 0.474,
|
1298 |
+
"step": 616
|
1299 |
+
},
|
1300 |
+
{
|
1301 |
+
"epoch": 77.48,
|
1302 |
+
"learning_rate": 4.166666666666667e-06,
|
1303 |
+
"loss": 0.0399,
|
1304 |
+
"step": 620
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 77.97,
|
1308 |
+
"eval_accuracy": 0.7981651376146789,
|
1309 |
+
"eval_f1": 0.7994120087594209,
|
1310 |
+
"eval_loss": 0.5381362438201904,
|
1311 |
+
"eval_precision": 0.8072242548450546,
|
1312 |
+
"eval_recall": 0.7981651376146789,
|
1313 |
+
"eval_runtime": 4.2152,
|
1314 |
+
"eval_samples_per_second": 25.859,
|
1315 |
+
"eval_steps_per_second": 0.474,
|
1316 |
+
"step": 624
|
1317 |
+
},
|
1318 |
+
{
|
1319 |
+
"epoch": 78.73,
|
1320 |
+
"learning_rate": 2.0833333333333334e-06,
|
1321 |
+
"loss": 0.0439,
|
1322 |
+
"step": 630
|
1323 |
+
},
|
1324 |
+
{
|
1325 |
+
"epoch": 78.97,
|
1326 |
+
"eval_accuracy": 0.7798165137614679,
|
1327 |
+
"eval_f1": 0.7827462243679189,
|
1328 |
+
"eval_loss": 0.6181262135505676,
|
1329 |
+
"eval_precision": 0.7877941763063422,
|
1330 |
+
"eval_recall": 0.7798165137614679,
|
1331 |
+
"eval_runtime": 4.2424,
|
1332 |
+
"eval_samples_per_second": 25.693,
|
1333 |
+
"eval_steps_per_second": 0.471,
|
1334 |
+
"step": 632
|
1335 |
+
},
|
1336 |
+
{
|
1337 |
+
"epoch": 79.97,
|
1338 |
+
"learning_rate": 0.0,
|
1339 |
+
"loss": 0.0462,
|
1340 |
+
"step": 640
|
1341 |
+
},
|
1342 |
+
{
|
1343 |
+
"epoch": 79.97,
|
1344 |
+
"eval_accuracy": 0.8165137614678899,
|
1345 |
+
"eval_f1": 0.8172526992448356,
|
1346 |
+
"eval_loss": 0.48008766770362854,
|
1347 |
+
"eval_precision": 0.8181998512273742,
|
1348 |
+
"eval_recall": 0.8165137614678899,
|
1349 |
+
"eval_runtime": 4.18,
|
1350 |
+
"eval_samples_per_second": 26.076,
|
1351 |
+
"eval_steps_per_second": 0.478,
|
1352 |
+
"step": 640
|
1353 |
+
},
|
1354 |
+
{
|
1355 |
+
"epoch": 79.97,
|
1356 |
+
"step": 640,
|
1357 |
+
"total_flos": 3.5167284631649157e+18,
|
1358 |
+
"train_loss": 0.37728101573884487,
|
1359 |
+
"train_runtime": 2345.4183,
|
1360 |
+
"train_samples_per_second": 70.606,
|
1361 |
+
"train_steps_per_second": 0.273
|
1362 |
}
|
1363 |
],
|
1364 |
+
"max_steps": 640,
|
1365 |
+
"num_train_epochs": 80,
|
1366 |
+
"total_flos": 3.5167284631649157e+18,
|
1367 |
"trial_name": null,
|
1368 |
"trial_params": null
|
1369 |
}
|