Augusto777
commited on
Commit
•
3998b2a
1
Parent(s):
748fbc6
End of training
Browse files- README.md +2 -2
- all_results.json +13 -0
- eval_results.json +8 -0
- runs/Dec05_23-14-42_2e18f523b17c/events.out.tfevents.1701818581.2e18f523b17c.3067.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +466 -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 [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on an unknown dataset.
|
19 |
It achieves the following results on the evaluation set:
|
20 |
-
- Loss: 0.
|
21 |
-
- Accuracy: 0.
|
22 |
|
23 |
## Model description
|
24 |
|
|
|
17 |
|
18 |
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on an unknown dataset.
|
19 |
It achieves the following results on the evaluation set:
|
20 |
+
- Loss: 0.3718
|
21 |
+
- Accuracy: 0.8966
|
22 |
|
23 |
## Model description
|
24 |
|
all_results.json
ADDED
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 37.65,
|
3 |
+
"eval_accuracy": 0.896551724137931,
|
4 |
+
"eval_loss": 0.3717654049396515,
|
5 |
+
"eval_runtime": 0.6072,
|
6 |
+
"eval_samples_per_second": 95.521,
|
7 |
+
"eval_steps_per_second": 3.294,
|
8 |
+
"total_flos": 4.870057509170381e+17,
|
9 |
+
"train_loss": 0.5200165078043938,
|
10 |
+
"train_runtime": 456.0431,
|
11 |
+
"train_samples_per_second": 45.61,
|
12 |
+
"train_steps_per_second": 0.351
|
13 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 37.65,
|
3 |
+
"eval_accuracy": 0.896551724137931,
|
4 |
+
"eval_loss": 0.3717654049396515,
|
5 |
+
"eval_runtime": 0.6072,
|
6 |
+
"eval_samples_per_second": 95.521,
|
7 |
+
"eval_steps_per_second": 3.294
|
8 |
+
}
|
runs/Dec05_23-14-42_2e18f523b17c/events.out.tfevents.1701818581.2e18f523b17c.3067.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:33793eb5623af834896cf2a2d62087852de48c71ca53564b07fd56aa1ab2a832
|
3 |
+
size 411
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 37.65,
|
3 |
+
"total_flos": 4.870057509170381e+17,
|
4 |
+
"train_loss": 0.5200165078043938,
|
5 |
+
"train_runtime": 456.0431,
|
6 |
+
"train_samples_per_second": 45.61,
|
7 |
+
"train_steps_per_second": 0.351
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,466 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.896551724137931,
|
3 |
+
"best_model_checkpoint": "swin-tiny-patch4-window7-224-dmae-va-da2-40/checkpoint-110",
|
4 |
+
"epoch": 37.64705882352941,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 160,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.94,
|
13 |
+
"eval_accuracy": 0.3620689655172414,
|
14 |
+
"eval_loss": 1.3102844953536987,
|
15 |
+
"eval_runtime": 0.5859,
|
16 |
+
"eval_samples_per_second": 99.0,
|
17 |
+
"eval_steps_per_second": 3.414,
|
18 |
+
"step": 4
|
19 |
+
},
|
20 |
+
{
|
21 |
+
"epoch": 1.88,
|
22 |
+
"eval_accuracy": 0.3275862068965517,
|
23 |
+
"eval_loss": 1.2844481468200684,
|
24 |
+
"eval_runtime": 0.541,
|
25 |
+
"eval_samples_per_second": 107.217,
|
26 |
+
"eval_steps_per_second": 3.697,
|
27 |
+
"step": 8
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 2.35,
|
31 |
+
"learning_rate": 3.125e-05,
|
32 |
+
"loss": 1.3144,
|
33 |
+
"step": 10
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 2.82,
|
37 |
+
"eval_accuracy": 0.41379310344827586,
|
38 |
+
"eval_loss": 1.2574777603149414,
|
39 |
+
"eval_runtime": 0.5361,
|
40 |
+
"eval_samples_per_second": 108.186,
|
41 |
+
"eval_steps_per_second": 3.731,
|
42 |
+
"step": 12
|
43 |
+
},
|
44 |
+
{
|
45 |
+
"epoch": 4.0,
|
46 |
+
"eval_accuracy": 0.5,
|
47 |
+
"eval_loss": 1.1180709600448608,
|
48 |
+
"eval_runtime": 0.5531,
|
49 |
+
"eval_samples_per_second": 104.867,
|
50 |
+
"eval_steps_per_second": 3.616,
|
51 |
+
"step": 17
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 4.71,
|
55 |
+
"learning_rate": 4.8611111111111115e-05,
|
56 |
+
"loss": 1.1723,
|
57 |
+
"step": 20
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 4.94,
|
61 |
+
"eval_accuracy": 0.5344827586206896,
|
62 |
+
"eval_loss": 1.0054141283035278,
|
63 |
+
"eval_runtime": 0.7262,
|
64 |
+
"eval_samples_per_second": 79.866,
|
65 |
+
"eval_steps_per_second": 2.754,
|
66 |
+
"step": 21
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"epoch": 5.88,
|
70 |
+
"eval_accuracy": 0.5689655172413793,
|
71 |
+
"eval_loss": 0.8771402835845947,
|
72 |
+
"eval_runtime": 0.632,
|
73 |
+
"eval_samples_per_second": 91.766,
|
74 |
+
"eval_steps_per_second": 3.164,
|
75 |
+
"step": 25
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 6.82,
|
79 |
+
"eval_accuracy": 0.7068965517241379,
|
80 |
+
"eval_loss": 0.794106125831604,
|
81 |
+
"eval_runtime": 0.5449,
|
82 |
+
"eval_samples_per_second": 106.436,
|
83 |
+
"eval_steps_per_second": 3.67,
|
84 |
+
"step": 29
|
85 |
+
},
|
86 |
+
{
|
87 |
+
"epoch": 7.06,
|
88 |
+
"learning_rate": 4.5138888888888894e-05,
|
89 |
+
"loss": 0.9243,
|
90 |
+
"step": 30
|
91 |
+
},
|
92 |
+
{
|
93 |
+
"epoch": 8.0,
|
94 |
+
"eval_accuracy": 0.6724137931034483,
|
95 |
+
"eval_loss": 0.7037971615791321,
|
96 |
+
"eval_runtime": 0.5421,
|
97 |
+
"eval_samples_per_second": 106.985,
|
98 |
+
"eval_steps_per_second": 3.689,
|
99 |
+
"step": 34
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 8.94,
|
103 |
+
"eval_accuracy": 0.7241379310344828,
|
104 |
+
"eval_loss": 0.7341203093528748,
|
105 |
+
"eval_runtime": 0.5497,
|
106 |
+
"eval_samples_per_second": 105.515,
|
107 |
+
"eval_steps_per_second": 3.638,
|
108 |
+
"step": 38
|
109 |
+
},
|
110 |
+
{
|
111 |
+
"epoch": 9.41,
|
112 |
+
"learning_rate": 4.166666666666667e-05,
|
113 |
+
"loss": 0.7394,
|
114 |
+
"step": 40
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 9.88,
|
118 |
+
"eval_accuracy": 0.7413793103448276,
|
119 |
+
"eval_loss": 0.6256024837493896,
|
120 |
+
"eval_runtime": 0.544,
|
121 |
+
"eval_samples_per_second": 106.617,
|
122 |
+
"eval_steps_per_second": 3.676,
|
123 |
+
"step": 42
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 10.82,
|
127 |
+
"eval_accuracy": 0.7586206896551724,
|
128 |
+
"eval_loss": 0.6058707237243652,
|
129 |
+
"eval_runtime": 0.6912,
|
130 |
+
"eval_samples_per_second": 83.916,
|
131 |
+
"eval_steps_per_second": 2.894,
|
132 |
+
"step": 46
|
133 |
+
},
|
134 |
+
{
|
135 |
+
"epoch": 11.76,
|
136 |
+
"learning_rate": 3.8194444444444444e-05,
|
137 |
+
"loss": 0.627,
|
138 |
+
"step": 50
|
139 |
+
},
|
140 |
+
{
|
141 |
+
"epoch": 12.0,
|
142 |
+
"eval_accuracy": 0.7413793103448276,
|
143 |
+
"eval_loss": 0.5662473440170288,
|
144 |
+
"eval_runtime": 0.7222,
|
145 |
+
"eval_samples_per_second": 80.313,
|
146 |
+
"eval_steps_per_second": 2.769,
|
147 |
+
"step": 51
|
148 |
+
},
|
149 |
+
{
|
150 |
+
"epoch": 12.94,
|
151 |
+
"eval_accuracy": 0.7931034482758621,
|
152 |
+
"eval_loss": 0.5383967757225037,
|
153 |
+
"eval_runtime": 0.5429,
|
154 |
+
"eval_samples_per_second": 106.842,
|
155 |
+
"eval_steps_per_second": 3.684,
|
156 |
+
"step": 55
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 13.88,
|
160 |
+
"eval_accuracy": 0.7758620689655172,
|
161 |
+
"eval_loss": 0.5630860328674316,
|
162 |
+
"eval_runtime": 0.5402,
|
163 |
+
"eval_samples_per_second": 107.371,
|
164 |
+
"eval_steps_per_second": 3.702,
|
165 |
+
"step": 59
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 14.12,
|
169 |
+
"learning_rate": 3.472222222222222e-05,
|
170 |
+
"loss": 0.5026,
|
171 |
+
"step": 60
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 14.82,
|
175 |
+
"eval_accuracy": 0.8103448275862069,
|
176 |
+
"eval_loss": 0.49379998445510864,
|
177 |
+
"eval_runtime": 0.5445,
|
178 |
+
"eval_samples_per_second": 106.521,
|
179 |
+
"eval_steps_per_second": 3.673,
|
180 |
+
"step": 63
|
181 |
+
},
|
182 |
+
{
|
183 |
+
"epoch": 16.0,
|
184 |
+
"eval_accuracy": 0.8448275862068966,
|
185 |
+
"eval_loss": 0.4768355190753937,
|
186 |
+
"eval_runtime": 0.5424,
|
187 |
+
"eval_samples_per_second": 106.928,
|
188 |
+
"eval_steps_per_second": 3.687,
|
189 |
+
"step": 68
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 16.47,
|
193 |
+
"learning_rate": 3.125e-05,
|
194 |
+
"loss": 0.4284,
|
195 |
+
"step": 70
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 16.94,
|
199 |
+
"eval_accuracy": 0.8620689655172413,
|
200 |
+
"eval_loss": 0.4082733988761902,
|
201 |
+
"eval_runtime": 0.5537,
|
202 |
+
"eval_samples_per_second": 104.745,
|
203 |
+
"eval_steps_per_second": 3.612,
|
204 |
+
"step": 72
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"epoch": 17.88,
|
208 |
+
"eval_accuracy": 0.8275862068965517,
|
209 |
+
"eval_loss": 0.3942280411720276,
|
210 |
+
"eval_runtime": 0.5427,
|
211 |
+
"eval_samples_per_second": 106.871,
|
212 |
+
"eval_steps_per_second": 3.685,
|
213 |
+
"step": 76
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 18.82,
|
217 |
+
"learning_rate": 2.777777777777778e-05,
|
218 |
+
"loss": 0.3922,
|
219 |
+
"step": 80
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 18.82,
|
223 |
+
"eval_accuracy": 0.8620689655172413,
|
224 |
+
"eval_loss": 0.37597107887268066,
|
225 |
+
"eval_runtime": 0.6952,
|
226 |
+
"eval_samples_per_second": 83.423,
|
227 |
+
"eval_steps_per_second": 2.877,
|
228 |
+
"step": 80
|
229 |
+
},
|
230 |
+
{
|
231 |
+
"epoch": 20.0,
|
232 |
+
"eval_accuracy": 0.8275862068965517,
|
233 |
+
"eval_loss": 0.4109302759170532,
|
234 |
+
"eval_runtime": 0.548,
|
235 |
+
"eval_samples_per_second": 105.841,
|
236 |
+
"eval_steps_per_second": 3.65,
|
237 |
+
"step": 85
|
238 |
+
},
|
239 |
+
{
|
240 |
+
"epoch": 20.94,
|
241 |
+
"eval_accuracy": 0.8620689655172413,
|
242 |
+
"eval_loss": 0.38523542881011963,
|
243 |
+
"eval_runtime": 0.5465,
|
244 |
+
"eval_samples_per_second": 106.125,
|
245 |
+
"eval_steps_per_second": 3.659,
|
246 |
+
"step": 89
|
247 |
+
},
|
248 |
+
{
|
249 |
+
"epoch": 21.18,
|
250 |
+
"learning_rate": 2.4305555555555558e-05,
|
251 |
+
"loss": 0.3927,
|
252 |
+
"step": 90
|
253 |
+
},
|
254 |
+
{
|
255 |
+
"epoch": 21.88,
|
256 |
+
"eval_accuracy": 0.8620689655172413,
|
257 |
+
"eval_loss": 0.3660654127597809,
|
258 |
+
"eval_runtime": 0.5512,
|
259 |
+
"eval_samples_per_second": 105.229,
|
260 |
+
"eval_steps_per_second": 3.629,
|
261 |
+
"step": 93
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 22.82,
|
265 |
+
"eval_accuracy": 0.8793103448275862,
|
266 |
+
"eval_loss": 0.3930301368236542,
|
267 |
+
"eval_runtime": 0.5482,
|
268 |
+
"eval_samples_per_second": 105.792,
|
269 |
+
"eval_steps_per_second": 3.648,
|
270 |
+
"step": 97
|
271 |
+
},
|
272 |
+
{
|
273 |
+
"epoch": 23.53,
|
274 |
+
"learning_rate": 2.0833333333333336e-05,
|
275 |
+
"loss": 0.3338,
|
276 |
+
"step": 100
|
277 |
+
},
|
278 |
+
{
|
279 |
+
"epoch": 24.0,
|
280 |
+
"eval_accuracy": 0.8620689655172413,
|
281 |
+
"eval_loss": 0.35855162143707275,
|
282 |
+
"eval_runtime": 0.5507,
|
283 |
+
"eval_samples_per_second": 105.323,
|
284 |
+
"eval_steps_per_second": 3.632,
|
285 |
+
"step": 102
|
286 |
+
},
|
287 |
+
{
|
288 |
+
"epoch": 24.94,
|
289 |
+
"eval_accuracy": 0.8620689655172413,
|
290 |
+
"eval_loss": 0.36067575216293335,
|
291 |
+
"eval_runtime": 0.7414,
|
292 |
+
"eval_samples_per_second": 78.233,
|
293 |
+
"eval_steps_per_second": 2.698,
|
294 |
+
"step": 106
|
295 |
+
},
|
296 |
+
{
|
297 |
+
"epoch": 25.88,
|
298 |
+
"learning_rate": 1.736111111111111e-05,
|
299 |
+
"loss": 0.2698,
|
300 |
+
"step": 110
|
301 |
+
},
|
302 |
+
{
|
303 |
+
"epoch": 25.88,
|
304 |
+
"eval_accuracy": 0.896551724137931,
|
305 |
+
"eval_loss": 0.3717654049396515,
|
306 |
+
"eval_runtime": 0.619,
|
307 |
+
"eval_samples_per_second": 93.702,
|
308 |
+
"eval_steps_per_second": 3.231,
|
309 |
+
"step": 110
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"epoch": 26.82,
|
313 |
+
"eval_accuracy": 0.8793103448275862,
|
314 |
+
"eval_loss": 0.35024696588516235,
|
315 |
+
"eval_runtime": 0.5475,
|
316 |
+
"eval_samples_per_second": 105.944,
|
317 |
+
"eval_steps_per_second": 3.653,
|
318 |
+
"step": 114
|
319 |
+
},
|
320 |
+
{
|
321 |
+
"epoch": 28.0,
|
322 |
+
"eval_accuracy": 0.8448275862068966,
|
323 |
+
"eval_loss": 0.3614311218261719,
|
324 |
+
"eval_runtime": 0.5691,
|
325 |
+
"eval_samples_per_second": 101.924,
|
326 |
+
"eval_steps_per_second": 3.515,
|
327 |
+
"step": 119
|
328 |
+
},
|
329 |
+
{
|
330 |
+
"epoch": 28.24,
|
331 |
+
"learning_rate": 1.388888888888889e-05,
|
332 |
+
"loss": 0.2707,
|
333 |
+
"step": 120
|
334 |
+
},
|
335 |
+
{
|
336 |
+
"epoch": 28.94,
|
337 |
+
"eval_accuracy": 0.8620689655172413,
|
338 |
+
"eval_loss": 0.3537382185459137,
|
339 |
+
"eval_runtime": 0.5442,
|
340 |
+
"eval_samples_per_second": 106.586,
|
341 |
+
"eval_steps_per_second": 3.675,
|
342 |
+
"step": 123
|
343 |
+
},
|
344 |
+
{
|
345 |
+
"epoch": 29.88,
|
346 |
+
"eval_accuracy": 0.8793103448275862,
|
347 |
+
"eval_loss": 0.354471892118454,
|
348 |
+
"eval_runtime": 0.5491,
|
349 |
+
"eval_samples_per_second": 105.623,
|
350 |
+
"eval_steps_per_second": 3.642,
|
351 |
+
"step": 127
|
352 |
+
},
|
353 |
+
{
|
354 |
+
"epoch": 30.59,
|
355 |
+
"learning_rate": 1.0416666666666668e-05,
|
356 |
+
"loss": 0.2622,
|
357 |
+
"step": 130
|
358 |
+
},
|
359 |
+
{
|
360 |
+
"epoch": 30.82,
|
361 |
+
"eval_accuracy": 0.8793103448275862,
|
362 |
+
"eval_loss": 0.32017067074775696,
|
363 |
+
"eval_runtime": 0.6084,
|
364 |
+
"eval_samples_per_second": 95.331,
|
365 |
+
"eval_steps_per_second": 3.287,
|
366 |
+
"step": 131
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 32.0,
|
370 |
+
"eval_accuracy": 0.8793103448275862,
|
371 |
+
"eval_loss": 0.3125433623790741,
|
372 |
+
"eval_runtime": 0.6933,
|
373 |
+
"eval_samples_per_second": 83.663,
|
374 |
+
"eval_steps_per_second": 2.885,
|
375 |
+
"step": 136
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 32.94,
|
379 |
+
"learning_rate": 6.944444444444445e-06,
|
380 |
+
"loss": 0.2499,
|
381 |
+
"step": 140
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 32.94,
|
385 |
+
"eval_accuracy": 0.8620689655172413,
|
386 |
+
"eval_loss": 0.3215100169181824,
|
387 |
+
"eval_runtime": 0.5383,
|
388 |
+
"eval_samples_per_second": 107.744,
|
389 |
+
"eval_steps_per_second": 3.715,
|
390 |
+
"step": 140
|
391 |
+
},
|
392 |
+
{
|
393 |
+
"epoch": 33.88,
|
394 |
+
"eval_accuracy": 0.8620689655172413,
|
395 |
+
"eval_loss": 0.3194180428981781,
|
396 |
+
"eval_runtime": 0.5395,
|
397 |
+
"eval_samples_per_second": 107.502,
|
398 |
+
"eval_steps_per_second": 3.707,
|
399 |
+
"step": 144
|
400 |
+
},
|
401 |
+
{
|
402 |
+
"epoch": 34.82,
|
403 |
+
"eval_accuracy": 0.8793103448275862,
|
404 |
+
"eval_loss": 0.3065814971923828,
|
405 |
+
"eval_runtime": 0.5319,
|
406 |
+
"eval_samples_per_second": 109.036,
|
407 |
+
"eval_steps_per_second": 3.76,
|
408 |
+
"step": 148
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 35.29,
|
412 |
+
"learning_rate": 3.4722222222222224e-06,
|
413 |
+
"loss": 0.2157,
|
414 |
+
"step": 150
|
415 |
+
},
|
416 |
+
{
|
417 |
+
"epoch": 36.0,
|
418 |
+
"eval_accuracy": 0.8793103448275862,
|
419 |
+
"eval_loss": 0.3023557662963867,
|
420 |
+
"eval_runtime": 0.5521,
|
421 |
+
"eval_samples_per_second": 105.047,
|
422 |
+
"eval_steps_per_second": 3.622,
|
423 |
+
"step": 153
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 36.94,
|
427 |
+
"eval_accuracy": 0.8793103448275862,
|
428 |
+
"eval_loss": 0.30368945002555847,
|
429 |
+
"eval_runtime": 0.5271,
|
430 |
+
"eval_samples_per_second": 110.045,
|
431 |
+
"eval_steps_per_second": 3.795,
|
432 |
+
"step": 157
|
433 |
+
},
|
434 |
+
{
|
435 |
+
"epoch": 37.65,
|
436 |
+
"learning_rate": 0.0,
|
437 |
+
"loss": 0.2248,
|
438 |
+
"step": 160
|
439 |
+
},
|
440 |
+
{
|
441 |
+
"epoch": 37.65,
|
442 |
+
"eval_accuracy": 0.8793103448275862,
|
443 |
+
"eval_loss": 0.303451269865036,
|
444 |
+
"eval_runtime": 0.5525,
|
445 |
+
"eval_samples_per_second": 104.979,
|
446 |
+
"eval_steps_per_second": 3.62,
|
447 |
+
"step": 160
|
448 |
+
},
|
449 |
+
{
|
450 |
+
"epoch": 37.65,
|
451 |
+
"step": 160,
|
452 |
+
"total_flos": 4.870057509170381e+17,
|
453 |
+
"train_loss": 0.5200165078043938,
|
454 |
+
"train_runtime": 456.0431,
|
455 |
+
"train_samples_per_second": 45.61,
|
456 |
+
"train_steps_per_second": 0.351
|
457 |
+
}
|
458 |
+
],
|
459 |
+
"logging_steps": 10,
|
460 |
+
"max_steps": 160,
|
461 |
+
"num_train_epochs": 40,
|
462 |
+
"save_steps": 500,
|
463 |
+
"total_flos": 4.870057509170381e+17,
|
464 |
+
"trial_name": null,
|
465 |
+
"trial_params": null
|
466 |
+
}
|