faridkarimli
commited on
Commit
•
e7be466
1
Parent(s):
cde26d8
End of training
Browse files- README.md +3 -1
- all_results.json +12 -0
- config.json +1 -0
- eval_results.json +8 -0
- train_results.json +7 -0
- trainer_state.json +424 -0
README.md
CHANGED
@@ -2,6 +2,8 @@
|
|
2 |
license: apache-2.0
|
3 |
base_model: microsoft/swinv2-base-patch4-window12-192-22k
|
4 |
tags:
|
|
|
|
|
5 |
- generated_from_trainer
|
6 |
metrics:
|
7 |
- accuracy
|
@@ -17,8 +19,8 @@ should probably proofread and complete it, then remove this comment. -->
|
|
17 |
|
18 |
This model is a fine-tuned version of [microsoft/swinv2-base-patch4-window12-192-22k](https://huggingface.co/microsoft/swinv2-base-patch4-window12-192-22k) on an unknown dataset.
|
19 |
It achieves the following results on the evaluation set:
|
20 |
-
- Accuracy: 0.6785
|
21 |
- Loss: 1.9857
|
|
|
22 |
|
23 |
## Model description
|
24 |
|
|
|
2 |
license: apache-2.0
|
3 |
base_model: microsoft/swinv2-base-patch4-window12-192-22k
|
4 |
tags:
|
5 |
+
- image-classification
|
6 |
+
- vision
|
7 |
- generated_from_trainer
|
8 |
metrics:
|
9 |
- accuracy
|
|
|
19 |
|
20 |
This model is a fine-tuned version of [microsoft/swinv2-base-patch4-window12-192-22k](https://huggingface.co/microsoft/swinv2-base-patch4-window12-192-22k) on an unknown dataset.
|
21 |
It achieves the following results on the evaluation set:
|
|
|
22 |
- Loss: 1.9857
|
23 |
+
- Accuracy: 0.6785
|
24 |
|
25 |
## Model description
|
26 |
|
all_results.json
ADDED
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 16.0,
|
3 |
+
"eval_accuracy": 0.6784972165163288,
|
4 |
+
"eval_loss": 1.9857261180877686,
|
5 |
+
"eval_runtime": 4657.9109,
|
6 |
+
"eval_samples_per_second": 36.058,
|
7 |
+
"eval_steps_per_second": 0.071,
|
8 |
+
"train_loss": 0.0,
|
9 |
+
"train_runtime": 372.6046,
|
10 |
+
"train_samples_per_second": 27045.44,
|
11 |
+
"train_steps_per_second": 52.858
|
12 |
+
}
|
config.json
CHANGED
@@ -31044,6 +31044,7 @@
|
|
31044 |
0,
|
31045 |
0
|
31046 |
],
|
|
|
31047 |
"qkv_bias": true,
|
31048 |
"torch_dtype": "float32",
|
31049 |
"transformers_version": "4.33.3",
|
|
|
31044 |
0,
|
31045 |
0
|
31046 |
],
|
31047 |
+
"problem_type": "single_label_classification",
|
31048 |
"qkv_bias": true,
|
31049 |
"torch_dtype": "float32",
|
31050 |
"transformers_version": "4.33.3",
|
eval_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 16.0,
|
3 |
+
"eval_accuracy": 0.6784972165163288,
|
4 |
+
"eval_loss": 1.9857261180877686,
|
5 |
+
"eval_runtime": 4657.9109,
|
6 |
+
"eval_samples_per_second": 36.058,
|
7 |
+
"eval_steps_per_second": 0.071
|
8 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 16.0,
|
3 |
+
"train_loss": 0.0,
|
4 |
+
"train_runtime": 372.6046,
|
5 |
+
"train_samples_per_second": 27045.44,
|
6 |
+
"train_steps_per_second": 52.858
|
7 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,424 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 16.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 21008,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.38,
|
13 |
+
"learning_rate": 0.0009873064229499874,
|
14 |
+
"loss": 2.3443,
|
15 |
+
"step": 500
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.76,
|
19 |
+
"learning_rate": 0.0009746128458999747,
|
20 |
+
"loss": 1.6863,
|
21 |
+
"step": 1000
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 1.0,
|
25 |
+
"eval_accuracy": 0.575725640796642,
|
26 |
+
"eval_loss": 1.955936312675476,
|
27 |
+
"eval_runtime": 2249.8295,
|
28 |
+
"eval_samples_per_second": 74.652,
|
29 |
+
"eval_steps_per_second": 0.146,
|
30 |
+
"step": 1313
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 1.14,
|
34 |
+
"learning_rate": 0.0009619192688499619,
|
35 |
+
"loss": 1.4821,
|
36 |
+
"step": 1500
|
37 |
+
},
|
38 |
+
{
|
39 |
+
"epoch": 1.52,
|
40 |
+
"learning_rate": 0.0009492256917999492,
|
41 |
+
"loss": 1.3492,
|
42 |
+
"step": 2000
|
43 |
+
},
|
44 |
+
{
|
45 |
+
"epoch": 1.9,
|
46 |
+
"learning_rate": 0.0009365321147499366,
|
47 |
+
"loss": 1.3275,
|
48 |
+
"step": 2500
|
49 |
+
},
|
50 |
+
{
|
51 |
+
"epoch": 2.0,
|
52 |
+
"eval_accuracy": 0.606090917209967,
|
53 |
+
"eval_loss": 1.8276444673538208,
|
54 |
+
"eval_runtime": 1553.5911,
|
55 |
+
"eval_samples_per_second": 108.108,
|
56 |
+
"eval_steps_per_second": 0.212,
|
57 |
+
"step": 2626
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 2.28,
|
61 |
+
"learning_rate": 0.0009238385376999238,
|
62 |
+
"loss": 1.1767,
|
63 |
+
"step": 3000
|
64 |
+
},
|
65 |
+
{
|
66 |
+
"epoch": 2.67,
|
67 |
+
"learning_rate": 0.0009111449606499112,
|
68 |
+
"loss": 1.151,
|
69 |
+
"step": 3500
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 3.0,
|
73 |
+
"eval_accuracy": 0.6130332529546605,
|
74 |
+
"eval_loss": 1.885665774345398,
|
75 |
+
"eval_runtime": 1611.9735,
|
76 |
+
"eval_samples_per_second": 104.192,
|
77 |
+
"eval_steps_per_second": 0.204,
|
78 |
+
"step": 3939
|
79 |
+
},
|
80 |
+
{
|
81 |
+
"epoch": 3.05,
|
82 |
+
"learning_rate": 0.0008984513835998985,
|
83 |
+
"loss": 1.1393,
|
84 |
+
"step": 4000
|
85 |
+
},
|
86 |
+
{
|
87 |
+
"epoch": 3.43,
|
88 |
+
"learning_rate": 0.0008857578065498858,
|
89 |
+
"loss": 1.0116,
|
90 |
+
"step": 4500
|
91 |
+
},
|
92 |
+
{
|
93 |
+
"epoch": 3.81,
|
94 |
+
"learning_rate": 0.0008730642294998731,
|
95 |
+
"loss": 1.0336,
|
96 |
+
"step": 5000
|
97 |
+
},
|
98 |
+
{
|
99 |
+
"epoch": 4.0,
|
100 |
+
"eval_accuracy": 0.6322288708284958,
|
101 |
+
"eval_loss": 1.8160221576690674,
|
102 |
+
"eval_runtime": 1568.2238,
|
103 |
+
"eval_samples_per_second": 107.099,
|
104 |
+
"eval_steps_per_second": 0.21,
|
105 |
+
"step": 5252
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 4.19,
|
109 |
+
"learning_rate": 0.0008603706524498604,
|
110 |
+
"loss": 0.9722,
|
111 |
+
"step": 5500
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 4.57,
|
115 |
+
"learning_rate": 0.0008476770753998477,
|
116 |
+
"loss": 0.9309,
|
117 |
+
"step": 6000
|
118 |
+
},
|
119 |
+
{
|
120 |
+
"epoch": 4.95,
|
121 |
+
"learning_rate": 0.000834983498349835,
|
122 |
+
"loss": 0.947,
|
123 |
+
"step": 6500
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 5.0,
|
127 |
+
"eval_accuracy": 0.6317465987913429,
|
128 |
+
"eval_loss": 1.8050605058670044,
|
129 |
+
"eval_runtime": 1542.405,
|
130 |
+
"eval_samples_per_second": 108.892,
|
131 |
+
"eval_steps_per_second": 0.213,
|
132 |
+
"step": 6565
|
133 |
+
},
|
134 |
+
{
|
135 |
+
"epoch": 5.33,
|
136 |
+
"learning_rate": 0.0008222899212998223,
|
137 |
+
"loss": 0.8427,
|
138 |
+
"step": 7000
|
139 |
+
},
|
140 |
+
{
|
141 |
+
"epoch": 5.71,
|
142 |
+
"learning_rate": 0.0008095963442498096,
|
143 |
+
"loss": 0.8595,
|
144 |
+
"step": 7500
|
145 |
+
},
|
146 |
+
{
|
147 |
+
"epoch": 6.0,
|
148 |
+
"eval_accuracy": 0.6442737638057813,
|
149 |
+
"eval_loss": 1.7996306419372559,
|
150 |
+
"eval_runtime": 1561.8382,
|
151 |
+
"eval_samples_per_second": 107.537,
|
152 |
+
"eval_steps_per_second": 0.211,
|
153 |
+
"step": 7878
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"epoch": 6.09,
|
157 |
+
"learning_rate": 0.0007969027671997969,
|
158 |
+
"loss": 0.8393,
|
159 |
+
"step": 8000
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 6.47,
|
163 |
+
"learning_rate": 0.0007842091901497842,
|
164 |
+
"loss": 0.7719,
|
165 |
+
"step": 8500
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 6.85,
|
169 |
+
"learning_rate": 0.0007715156130997715,
|
170 |
+
"loss": 0.801,
|
171 |
+
"step": 9000
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 7.0,
|
175 |
+
"eval_accuracy": 0.6533952546813134,
|
176 |
+
"eval_loss": 1.7987133264541626,
|
177 |
+
"eval_runtime": 1549.5067,
|
178 |
+
"eval_samples_per_second": 108.393,
|
179 |
+
"eval_steps_per_second": 0.212,
|
180 |
+
"step": 9191
|
181 |
+
},
|
182 |
+
{
|
183 |
+
"epoch": 7.24,
|
184 |
+
"learning_rate": 0.0007588220360497588,
|
185 |
+
"loss": 0.7443,
|
186 |
+
"step": 9500
|
187 |
+
},
|
188 |
+
{
|
189 |
+
"epoch": 7.62,
|
190 |
+
"learning_rate": 0.0007461284589997462,
|
191 |
+
"loss": 0.7296,
|
192 |
+
"step": 10000
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"epoch": 8.0,
|
196 |
+
"learning_rate": 0.0007334348819497334,
|
197 |
+
"loss": 0.7508,
|
198 |
+
"step": 10500
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 8.0,
|
202 |
+
"eval_accuracy": 0.6521925515763151,
|
203 |
+
"eval_loss": 1.7864270210266113,
|
204 |
+
"eval_runtime": 1567.4501,
|
205 |
+
"eval_samples_per_second": 107.152,
|
206 |
+
"eval_steps_per_second": 0.21,
|
207 |
+
"step": 10504
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"epoch": 8.38,
|
211 |
+
"learning_rate": 0.0007207413048997208,
|
212 |
+
"loss": 0.6659,
|
213 |
+
"step": 11000
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 8.76,
|
217 |
+
"learning_rate": 0.0007080477278497081,
|
218 |
+
"loss": 0.694,
|
219 |
+
"step": 11500
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 9.0,
|
223 |
+
"eval_accuracy": 0.6525795600011908,
|
224 |
+
"eval_loss": 1.8871492147445679,
|
225 |
+
"eval_runtime": 1630.371,
|
226 |
+
"eval_samples_per_second": 103.016,
|
227 |
+
"eval_steps_per_second": 0.202,
|
228 |
+
"step": 11817
|
229 |
+
},
|
230 |
+
{
|
231 |
+
"epoch": 9.14,
|
232 |
+
"learning_rate": 0.0006953541507996953,
|
233 |
+
"loss": 0.6611,
|
234 |
+
"step": 12000
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 9.52,
|
238 |
+
"learning_rate": 0.0006826605737496827,
|
239 |
+
"loss": 0.6326,
|
240 |
+
"step": 12500
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 9.9,
|
244 |
+
"learning_rate": 0.00066996699669967,
|
245 |
+
"loss": 0.6523,
|
246 |
+
"step": 13000
|
247 |
+
},
|
248 |
+
{
|
249 |
+
"epoch": 10.0,
|
250 |
+
"eval_accuracy": 0.6648149802030305,
|
251 |
+
"eval_loss": 1.805672287940979,
|
252 |
+
"eval_runtime": 1557.784,
|
253 |
+
"eval_samples_per_second": 107.817,
|
254 |
+
"eval_steps_per_second": 0.211,
|
255 |
+
"step": 13130
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 10.28,
|
259 |
+
"learning_rate": 0.0006572734196496572,
|
260 |
+
"loss": 0.602,
|
261 |
+
"step": 13500
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 10.66,
|
265 |
+
"learning_rate": 0.0006445798425996446,
|
266 |
+
"loss": 0.5976,
|
267 |
+
"step": 14000
|
268 |
+
},
|
269 |
+
{
|
270 |
+
"epoch": 11.0,
|
271 |
+
"eval_accuracy": 0.6706736923580721,
|
272 |
+
"eval_loss": 1.8513981103897095,
|
273 |
+
"eval_runtime": 1548.9015,
|
274 |
+
"eval_samples_per_second": 108.435,
|
275 |
+
"eval_steps_per_second": 0.212,
|
276 |
+
"step": 14443
|
277 |
+
},
|
278 |
+
{
|
279 |
+
"epoch": 11.04,
|
280 |
+
"learning_rate": 0.0006318862655496319,
|
281 |
+
"loss": 0.6049,
|
282 |
+
"step": 14500
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 11.42,
|
286 |
+
"learning_rate": 0.0006191926884996192,
|
287 |
+
"loss": 0.5476,
|
288 |
+
"step": 15000
|
289 |
+
},
|
290 |
+
{
|
291 |
+
"epoch": 11.81,
|
292 |
+
"learning_rate": 0.0006064991114496065,
|
293 |
+
"loss": 0.5743,
|
294 |
+
"step": 15500
|
295 |
+
},
|
296 |
+
{
|
297 |
+
"epoch": 12.0,
|
298 |
+
"eval_accuracy": 0.6628501681998155,
|
299 |
+
"eval_loss": 1.927115559577942,
|
300 |
+
"eval_runtime": 1525.7141,
|
301 |
+
"eval_samples_per_second": 110.083,
|
302 |
+
"eval_steps_per_second": 0.216,
|
303 |
+
"step": 15756
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 12.19,
|
307 |
+
"learning_rate": 0.0005938055343995938,
|
308 |
+
"loss": 0.5441,
|
309 |
+
"step": 16000
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"epoch": 12.57,
|
313 |
+
"learning_rate": 0.0005811119573495812,
|
314 |
+
"loss": 0.5232,
|
315 |
+
"step": 16500
|
316 |
+
},
|
317 |
+
{
|
318 |
+
"epoch": 12.95,
|
319 |
+
"learning_rate": 0.0005684183802995684,
|
320 |
+
"loss": 0.5426,
|
321 |
+
"step": 17000
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"epoch": 13.0,
|
325 |
+
"eval_accuracy": 0.6691911523920098,
|
326 |
+
"eval_loss": 1.9220695495605469,
|
327 |
+
"eval_runtime": 1530.5139,
|
328 |
+
"eval_samples_per_second": 109.738,
|
329 |
+
"eval_steps_per_second": 0.215,
|
330 |
+
"step": 17069
|
331 |
+
},
|
332 |
+
{
|
333 |
+
"epoch": 13.33,
|
334 |
+
"learning_rate": 0.0005557248032495558,
|
335 |
+
"loss": 0.5004,
|
336 |
+
"step": 17500
|
337 |
+
},
|
338 |
+
{
|
339 |
+
"epoch": 13.71,
|
340 |
+
"learning_rate": 0.0005430312261995431,
|
341 |
+
"loss": 0.5092,
|
342 |
+
"step": 18000
|
343 |
+
},
|
344 |
+
{
|
345 |
+
"epoch": 14.0,
|
346 |
+
"eval_accuracy": 0.6751987139412342,
|
347 |
+
"eval_loss": 1.9163544178009033,
|
348 |
+
"eval_runtime": 1663.4966,
|
349 |
+
"eval_samples_per_second": 100.965,
|
350 |
+
"eval_steps_per_second": 0.198,
|
351 |
+
"step": 18382
|
352 |
+
},
|
353 |
+
{
|
354 |
+
"epoch": 14.09,
|
355 |
+
"learning_rate": 0.0005303376491495303,
|
356 |
+
"loss": 0.5017,
|
357 |
+
"step": 18500
|
358 |
+
},
|
359 |
+
{
|
360 |
+
"epoch": 14.47,
|
361 |
+
"learning_rate": 0.0005176440720995177,
|
362 |
+
"loss": 0.4729,
|
363 |
+
"step": 19000
|
364 |
+
},
|
365 |
+
{
|
366 |
+
"epoch": 14.85,
|
367 |
+
"learning_rate": 0.000504950495049505,
|
368 |
+
"loss": 0.4808,
|
369 |
+
"step": 19500
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 15.0,
|
373 |
+
"eval_accuracy": 0.6743115715519038,
|
374 |
+
"eval_loss": 1.925864815711975,
|
375 |
+
"eval_runtime": 1533.1814,
|
376 |
+
"eval_samples_per_second": 109.547,
|
377 |
+
"eval_steps_per_second": 0.215,
|
378 |
+
"step": 19695
|
379 |
+
},
|
380 |
+
{
|
381 |
+
"epoch": 15.23,
|
382 |
+
"learning_rate": 0.0004922569179994923,
|
383 |
+
"loss": 0.4595,
|
384 |
+
"step": 20000
|
385 |
+
},
|
386 |
+
{
|
387 |
+
"epoch": 15.61,
|
388 |
+
"learning_rate": 0.00047956334094947955,
|
389 |
+
"loss": 0.4489,
|
390 |
+
"step": 20500
|
391 |
+
},
|
392 |
+
{
|
393 |
+
"epoch": 15.99,
|
394 |
+
"learning_rate": 0.00046686976389946687,
|
395 |
+
"loss": 0.4611,
|
396 |
+
"step": 21000
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 16.0,
|
400 |
+
"eval_accuracy": 0.6784972165163288,
|
401 |
+
"eval_loss": 1.9857261180877686,
|
402 |
+
"eval_runtime": 1537.6389,
|
403 |
+
"eval_samples_per_second": 109.229,
|
404 |
+
"eval_steps_per_second": 0.214,
|
405 |
+
"step": 21008
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 16.0,
|
409 |
+
"step": 21008,
|
410 |
+
"total_flos": 7.331020593786202e+20,
|
411 |
+
"train_loss": 0.0,
|
412 |
+
"train_runtime": 372.6046,
|
413 |
+
"train_samples_per_second": 27045.44,
|
414 |
+
"train_steps_per_second": 52.858
|
415 |
+
}
|
416 |
+
],
|
417 |
+
"logging_steps": 500,
|
418 |
+
"max_steps": 19695,
|
419 |
+
"num_train_epochs": 15,
|
420 |
+
"save_steps": 500,
|
421 |
+
"total_flos": 7.331020593786202e+20,
|
422 |
+
"trial_name": null,
|
423 |
+
"trial_params": null
|
424 |
+
}
|