Augusto777
commited on
End of training
Browse files- README.md +36 -36
- all_results.json +8 -8
- eval_results.json +4 -4
- model.safetensors +1 -1
- runs/Dec01_10-45-48_DESKTOP-SKBE9FB/events.out.tfevents.1733071549.DESKTOP-SKBE9FB.15824.0 +3 -0
- runs/Dec01_10-45-48_DESKTOP-SKBE9FB/events.out.tfevents.1733071679.DESKTOP-SKBE9FB.15824.1 +3 -0
- train_results.json +4 -4
- trainer_state.json +156 -156
- training_args.bin +1 -1
README.md
CHANGED
@@ -31,7 +31,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
31 |
|
32 |
This model is a fine-tuned version of [MBZUAI/swiftformer-xs](https://huggingface.co/MBZUAI/swiftformer-xs) on the imagefolder dataset.
|
33 |
It achieves the following results on the evaluation set:
|
34 |
-
- Loss: 113.
|
35 |
- Accuracy: 0.1087
|
36 |
|
37 |
## Model description
|
@@ -66,41 +66,41 @@ The following hyperparameters were used during training:
|
|
66 |
|
67 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
68 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
69 |
-
| No log | 0.86 | 3 | 113.
|
70 |
-
| No log | 2.0 | 7 | 113.
|
71 |
-
| 114.
|
72 |
-
| 114.
|
73 |
-
| 114.
|
74 |
-
| 113.
|
75 |
-
| 113.
|
76 |
-
| 113.
|
77 |
-
| 111.
|
78 |
-
| 111.
|
79 |
-
| 111.
|
80 |
-
| 115.
|
81 |
-
| 115.
|
82 |
-
| 115.
|
83 |
-
| 111.
|
84 |
-
| 111.
|
85 |
-
| 111.
|
86 |
-
| 112.
|
87 |
-
| 112.
|
88 |
-
|
|
89 |
-
|
|
90 |
-
|
|
91 |
-
| 113.
|
92 |
-
| 113.
|
93 |
-
| 113.
|
94 |
-
|
|
95 |
-
|
|
96 |
-
|
|
97 |
-
| 111.
|
98 |
-
| 111.
|
99 |
-
| 111.
|
100 |
-
| 112.
|
101 |
-
| 112.
|
102 |
-
| 112.
|
103 |
-
| 112.
|
104 |
|
105 |
|
106 |
### Framework versions
|
|
|
31 |
|
32 |
This model is a fine-tuned version of [MBZUAI/swiftformer-xs](https://huggingface.co/MBZUAI/swiftformer-xs) on the imagefolder dataset.
|
33 |
It achieves the following results on the evaluation set:
|
34 |
+
- Loss: 113.7364
|
35 |
- Accuracy: 0.1087
|
36 |
|
37 |
## Model description
|
|
|
66 |
|
67 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
68 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
69 |
+
| No log | 0.86 | 3 | 113.7364 | 0.1087 |
|
70 |
+
| No log | 2.0 | 7 | 113.7326 | 0.1087 |
|
71 |
+
| 114.0068 | 2.86 | 10 | 113.7256 | 0.1087 |
|
72 |
+
| 114.0068 | 4.0 | 14 | 113.7186 | 0.1087 |
|
73 |
+
| 114.0068 | 4.86 | 17 | 113.7029 | 0.1087 |
|
74 |
+
| 113.3375 | 6.0 | 21 | 113.6791 | 0.1087 |
|
75 |
+
| 113.3375 | 6.86 | 24 | 113.6215 | 0.1087 |
|
76 |
+
| 113.3375 | 8.0 | 28 | 113.5252 | 0.1087 |
|
77 |
+
| 111.4746 | 8.86 | 31 | 113.4319 | 0.1087 |
|
78 |
+
| 111.4746 | 10.0 | 35 | 113.3363 | 0.1087 |
|
79 |
+
| 111.4746 | 10.86 | 38 | 113.2650 | 0.1087 |
|
80 |
+
| 115.4431 | 12.0 | 42 | 113.2107 | 0.1087 |
|
81 |
+
| 115.4431 | 12.86 | 45 | 113.0735 | 0.1087 |
|
82 |
+
| 115.4431 | 14.0 | 49 | 112.9594 | 0.1087 |
|
83 |
+
| 111.5901 | 14.86 | 52 | 112.8571 | 0.1087 |
|
84 |
+
| 111.5901 | 16.0 | 56 | 112.6748 | 0.1087 |
|
85 |
+
| 111.5901 | 16.86 | 59 | 112.6704 | 0.1087 |
|
86 |
+
| 112.1751 | 18.0 | 63 | 112.6418 | 0.1087 |
|
87 |
+
| 112.1751 | 18.86 | 66 | 112.8373 | 0.1087 |
|
88 |
+
| 112.9078 | 20.0 | 70 | 112.8380 | 0.1087 |
|
89 |
+
| 112.9078 | 20.86 | 73 | 112.7914 | 0.1087 |
|
90 |
+
| 112.9078 | 22.0 | 77 | 112.5887 | 0.1087 |
|
91 |
+
| 113.1403 | 22.86 | 80 | 112.6198 | 0.1087 |
|
92 |
+
| 113.1403 | 24.0 | 84 | 112.2571 | 0.1087 |
|
93 |
+
| 113.1403 | 24.86 | 87 | 112.2411 | 0.1087 |
|
94 |
+
| 112.9338 | 26.0 | 91 | 112.1696 | 0.1087 |
|
95 |
+
| 112.9338 | 26.86 | 94 | 112.1566 | 0.1087 |
|
96 |
+
| 112.9338 | 28.0 | 98 | 112.3235 | 0.1087 |
|
97 |
+
| 111.1035 | 28.86 | 101 | 112.2629 | 0.1087 |
|
98 |
+
| 111.1035 | 30.0 | 105 | 112.0586 | 0.1087 |
|
99 |
+
| 111.1035 | 30.86 | 108 | 112.0911 | 0.1087 |
|
100 |
+
| 112.5756 | 32.0 | 112 | 112.2091 | 0.1087 |
|
101 |
+
| 112.5756 | 32.86 | 115 | 112.1568 | 0.1087 |
|
102 |
+
| 112.5756 | 34.0 | 119 | 111.8474 | 0.1087 |
|
103 |
+
| 112.2756 | 34.29 | 120 | 111.8630 | 0.1087 |
|
104 |
|
105 |
|
106 |
### Framework versions
|
all_results.json
CHANGED
@@ -1,12 +1,12 @@
|
|
1 |
{
|
2 |
"epoch": 34.29,
|
3 |
"eval_accuracy": 0.10869565217391304,
|
4 |
-
"eval_loss": 113.
|
5 |
-
"eval_runtime": 0.
|
6 |
-
"eval_samples_per_second":
|
7 |
-
"eval_steps_per_second":
|
8 |
-
"train_loss": 112.
|
9 |
-
"train_runtime":
|
10 |
-
"train_samples_per_second":
|
11 |
-
"train_steps_per_second": 0.
|
12 |
}
|
|
|
1 |
{
|
2 |
"epoch": 34.29,
|
3 |
"eval_accuracy": 0.10869565217391304,
|
4 |
+
"eval_loss": 113.73644256591797,
|
5 |
+
"eval_runtime": 0.5946,
|
6 |
+
"eval_samples_per_second": 77.357,
|
7 |
+
"eval_steps_per_second": 5.045,
|
8 |
+
"train_loss": 112.74697774251302,
|
9 |
+
"train_runtime": 128.6494,
|
10 |
+
"train_samples_per_second": 66.226,
|
11 |
+
"train_steps_per_second": 0.933
|
12 |
}
|
eval_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 34.29,
|
3 |
"eval_accuracy": 0.10869565217391304,
|
4 |
-
"eval_loss": 113.
|
5 |
-
"eval_runtime": 0.
|
6 |
-
"eval_samples_per_second":
|
7 |
-
"eval_steps_per_second":
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 34.29,
|
3 |
"eval_accuracy": 0.10869565217391304,
|
4 |
+
"eval_loss": 113.73644256591797,
|
5 |
+
"eval_runtime": 0.5946,
|
6 |
+
"eval_samples_per_second": 77.357,
|
7 |
+
"eval_steps_per_second": 5.045
|
8 |
}
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 12203648
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:37a2062fdea25c565927efa1bccc4042e6d74effa034bf445f2c9d3b5d6f1cb3
|
3 |
size 12203648
|
runs/Dec01_10-45-48_DESKTOP-SKBE9FB/events.out.tfevents.1733071549.DESKTOP-SKBE9FB.15824.0
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:26fb8b33917d8c1ee88ce1e90d1e972b9e49cd9242b1e30a454d9ffc1b14d1df
|
3 |
+
size 17835
|
runs/Dec01_10-45-48_DESKTOP-SKBE9FB/events.out.tfevents.1733071679.DESKTOP-SKBE9FB.15824.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6fadb3855185b9bcad8d72110d7ee2626579c478993a550f2c7d4bbbc94f53c6
|
3 |
+
size 405
|
train_results.json
CHANGED
@@ -1,7 +1,7 @@
|
|
1 |
{
|
2 |
"epoch": 34.29,
|
3 |
-
"train_loss": 112.
|
4 |
-
"train_runtime":
|
5 |
-
"train_samples_per_second":
|
6 |
-
"train_steps_per_second": 0.
|
7 |
}
|
|
|
1 |
{
|
2 |
"epoch": 34.29,
|
3 |
+
"train_loss": 112.74697774251302,
|
4 |
+
"train_runtime": 128.6494,
|
5 |
+
"train_samples_per_second": 66.226,
|
6 |
+
"train_steps_per_second": 0.933
|
7 |
}
|
trainer_state.json
CHANGED
@@ -11,398 +11,398 @@
|
|
11 |
{
|
12 |
"epoch": 0.86,
|
13 |
"eval_accuracy": 0.10869565217391304,
|
14 |
-
"eval_loss": 113.
|
15 |
-
"eval_runtime": 0.
|
16 |
-
"eval_samples_per_second":
|
17 |
-
"eval_steps_per_second": 4.
|
18 |
"step": 3
|
19 |
},
|
20 |
{
|
21 |
"epoch": 2.0,
|
22 |
"eval_accuracy": 0.10869565217391304,
|
23 |
-
"eval_loss": 113.
|
24 |
-
"eval_runtime": 0.
|
25 |
-
"eval_samples_per_second":
|
26 |
-
"eval_steps_per_second": 4.
|
27 |
"step": 7
|
28 |
},
|
29 |
{
|
30 |
"epoch": 2.86,
|
31 |
"learning_rate": 0.000125,
|
32 |
-
"loss": 114.
|
33 |
"step": 10
|
34 |
},
|
35 |
{
|
36 |
"epoch": 2.86,
|
37 |
"eval_accuracy": 0.10869565217391304,
|
38 |
-
"eval_loss": 113.
|
39 |
-
"eval_runtime": 0.
|
40 |
-
"eval_samples_per_second":
|
41 |
-
"eval_steps_per_second":
|
42 |
"step": 10
|
43 |
},
|
44 |
{
|
45 |
"epoch": 4.0,
|
46 |
"eval_accuracy": 0.10869565217391304,
|
47 |
-
"eval_loss": 113.
|
48 |
-
"eval_runtime": 0.
|
49 |
-
"eval_samples_per_second":
|
50 |
-
"eval_steps_per_second":
|
51 |
"step": 14
|
52 |
},
|
53 |
{
|
54 |
"epoch": 4.86,
|
55 |
"eval_accuracy": 0.10869565217391304,
|
56 |
-
"eval_loss": 113.
|
57 |
-
"eval_runtime": 0.
|
58 |
-
"eval_samples_per_second":
|
59 |
-
"eval_steps_per_second":
|
60 |
"step": 17
|
61 |
},
|
62 |
{
|
63 |
"epoch": 5.71,
|
64 |
"learning_rate": 0.0001388888888888889,
|
65 |
-
"loss": 113.
|
66 |
"step": 20
|
67 |
},
|
68 |
{
|
69 |
"epoch": 6.0,
|
70 |
"eval_accuracy": 0.10869565217391304,
|
71 |
-
"eval_loss": 113.
|
72 |
-
"eval_runtime": 0.
|
73 |
-
"eval_samples_per_second":
|
74 |
-
"eval_steps_per_second":
|
75 |
"step": 21
|
76 |
},
|
77 |
{
|
78 |
"epoch": 6.86,
|
79 |
"eval_accuracy": 0.10869565217391304,
|
80 |
-
"eval_loss": 113.
|
81 |
-
"eval_runtime": 0.
|
82 |
-
"eval_samples_per_second":
|
83 |
-
"eval_steps_per_second":
|
84 |
"step": 24
|
85 |
},
|
86 |
{
|
87 |
"epoch": 8.0,
|
88 |
"eval_accuracy": 0.10869565217391304,
|
89 |
-
"eval_loss": 113.
|
90 |
-
"eval_runtime": 0.
|
91 |
-
"eval_samples_per_second":
|
92 |
-
"eval_steps_per_second":
|
93 |
"step": 28
|
94 |
},
|
95 |
{
|
96 |
"epoch": 8.57,
|
97 |
"learning_rate": 0.000125,
|
98 |
-
"loss": 111.
|
99 |
"step": 30
|
100 |
},
|
101 |
{
|
102 |
"epoch": 8.86,
|
103 |
"eval_accuracy": 0.10869565217391304,
|
104 |
-
"eval_loss": 113.
|
105 |
-
"eval_runtime": 0.
|
106 |
-
"eval_samples_per_second":
|
107 |
-
"eval_steps_per_second": 4.
|
108 |
"step": 31
|
109 |
},
|
110 |
{
|
111 |
"epoch": 10.0,
|
112 |
"eval_accuracy": 0.10869565217391304,
|
113 |
-
"eval_loss": 113.
|
114 |
-
"eval_runtime": 0.
|
115 |
-
"eval_samples_per_second":
|
116 |
-
"eval_steps_per_second": 4.
|
117 |
"step": 35
|
118 |
},
|
119 |
{
|
120 |
"epoch": 10.86,
|
121 |
"eval_accuracy": 0.10869565217391304,
|
122 |
-
"eval_loss": 113.
|
123 |
-
"eval_runtime": 0.
|
124 |
-
"eval_samples_per_second":
|
125 |
-
"eval_steps_per_second":
|
126 |
"step": 38
|
127 |
},
|
128 |
{
|
129 |
"epoch": 11.43,
|
130 |
"learning_rate": 0.00011111111111111109,
|
131 |
-
"loss": 115.
|
132 |
"step": 40
|
133 |
},
|
134 |
{
|
135 |
"epoch": 12.0,
|
136 |
"eval_accuracy": 0.10869565217391304,
|
137 |
-
"eval_loss": 113.
|
138 |
-
"eval_runtime": 0.
|
139 |
-
"eval_samples_per_second":
|
140 |
-
"eval_steps_per_second": 4.
|
141 |
"step": 42
|
142 |
},
|
143 |
{
|
144 |
"epoch": 12.86,
|
145 |
"eval_accuracy": 0.10869565217391304,
|
146 |
-
"eval_loss": 113.
|
147 |
-
"eval_runtime": 0.
|
148 |
-
"eval_samples_per_second":
|
149 |
-
"eval_steps_per_second": 4.
|
150 |
"step": 45
|
151 |
},
|
152 |
{
|
153 |
"epoch": 14.0,
|
154 |
"eval_accuracy": 0.10869565217391304,
|
155 |
-
"eval_loss":
|
156 |
-
"eval_runtime": 0.
|
157 |
-
"eval_samples_per_second":
|
158 |
-
"eval_steps_per_second":
|
159 |
"step": 49
|
160 |
},
|
161 |
{
|
162 |
"epoch": 14.29,
|
163 |
"learning_rate": 9.722222222222222e-05,
|
164 |
-
"loss": 111.
|
165 |
"step": 50
|
166 |
},
|
167 |
{
|
168 |
"epoch": 14.86,
|
169 |
"eval_accuracy": 0.10869565217391304,
|
170 |
-
"eval_loss":
|
171 |
-
"eval_runtime": 0.
|
172 |
-
"eval_samples_per_second":
|
173 |
-
"eval_steps_per_second":
|
174 |
"step": 52
|
175 |
},
|
176 |
{
|
177 |
"epoch": 16.0,
|
178 |
"eval_accuracy": 0.10869565217391304,
|
179 |
-
"eval_loss": 112.
|
180 |
-
"eval_runtime": 0.
|
181 |
-
"eval_samples_per_second":
|
182 |
-
"eval_steps_per_second": 4.
|
183 |
"step": 56
|
184 |
},
|
185 |
{
|
186 |
"epoch": 16.86,
|
187 |
"eval_accuracy": 0.10869565217391304,
|
188 |
-
"eval_loss": 112.
|
189 |
-
"eval_runtime": 0.
|
190 |
-
"eval_samples_per_second":
|
191 |
-
"eval_steps_per_second":
|
192 |
"step": 59
|
193 |
},
|
194 |
{
|
195 |
"epoch": 17.14,
|
196 |
"learning_rate": 8.333333333333333e-05,
|
197 |
-
"loss": 112.
|
198 |
"step": 60
|
199 |
},
|
200 |
{
|
201 |
"epoch": 18.0,
|
202 |
"eval_accuracy": 0.10869565217391304,
|
203 |
-
"eval_loss": 112.
|
204 |
-
"eval_runtime": 0.
|
205 |
-
"eval_samples_per_second":
|
206 |
-
"eval_steps_per_second":
|
207 |
"step": 63
|
208 |
},
|
209 |
{
|
210 |
"epoch": 18.86,
|
211 |
"eval_accuracy": 0.10869565217391304,
|
212 |
-
"eval_loss":
|
213 |
-
"eval_runtime": 0.
|
214 |
-
"eval_samples_per_second":
|
215 |
-
"eval_steps_per_second":
|
216 |
"step": 66
|
217 |
},
|
218 |
{
|
219 |
"epoch": 20.0,
|
220 |
"learning_rate": 6.944444444444444e-05,
|
221 |
-
"loss":
|
222 |
"step": 70
|
223 |
},
|
224 |
{
|
225 |
"epoch": 20.0,
|
226 |
"eval_accuracy": 0.10869565217391304,
|
227 |
-
"eval_loss":
|
228 |
-
"eval_runtime": 0.
|
229 |
-
"eval_samples_per_second":
|
230 |
-
"eval_steps_per_second": 4.
|
231 |
"step": 70
|
232 |
},
|
233 |
{
|
234 |
"epoch": 20.86,
|
235 |
"eval_accuracy": 0.10869565217391304,
|
236 |
-
"eval_loss": 112.
|
237 |
-
"eval_runtime": 0.
|
238 |
-
"eval_samples_per_second":
|
239 |
-
"eval_steps_per_second": 4.
|
240 |
"step": 73
|
241 |
},
|
242 |
{
|
243 |
"epoch": 22.0,
|
244 |
"eval_accuracy": 0.10869565217391304,
|
245 |
-
"eval_loss": 112.
|
246 |
-
"eval_runtime": 0.
|
247 |
-
"eval_samples_per_second":
|
248 |
-
"eval_steps_per_second":
|
249 |
"step": 77
|
250 |
},
|
251 |
{
|
252 |
"epoch": 22.86,
|
253 |
"learning_rate": 5.5555555555555545e-05,
|
254 |
-
"loss": 113.
|
255 |
"step": 80
|
256 |
},
|
257 |
{
|
258 |
"epoch": 22.86,
|
259 |
"eval_accuracy": 0.10869565217391304,
|
260 |
-
"eval_loss": 112.
|
261 |
-
"eval_runtime": 0.
|
262 |
-
"eval_samples_per_second": 74.
|
263 |
-
"eval_steps_per_second": 4.
|
264 |
"step": 80
|
265 |
},
|
266 |
{
|
267 |
"epoch": 24.0,
|
268 |
"eval_accuracy": 0.10869565217391304,
|
269 |
-
"eval_loss": 112.
|
270 |
-
"eval_runtime": 0.
|
271 |
-
"eval_samples_per_second":
|
272 |
-
"eval_steps_per_second": 4.
|
273 |
"step": 84
|
274 |
},
|
275 |
{
|
276 |
"epoch": 24.86,
|
277 |
"eval_accuracy": 0.10869565217391304,
|
278 |
-
"eval_loss": 112.
|
279 |
-
"eval_runtime": 0.
|
280 |
-
"eval_samples_per_second":
|
281 |
-
"eval_steps_per_second":
|
282 |
"step": 87
|
283 |
},
|
284 |
{
|
285 |
"epoch": 25.71,
|
286 |
"learning_rate": 4.1666666666666665e-05,
|
287 |
-
"loss":
|
288 |
"step": 90
|
289 |
},
|
290 |
{
|
291 |
"epoch": 26.0,
|
292 |
"eval_accuracy": 0.10869565217391304,
|
293 |
-
"eval_loss": 112.
|
294 |
-
"eval_runtime": 0.
|
295 |
-
"eval_samples_per_second":
|
296 |
-
"eval_steps_per_second": 4.
|
297 |
"step": 91
|
298 |
},
|
299 |
{
|
300 |
"epoch": 26.86,
|
301 |
"eval_accuracy": 0.10869565217391304,
|
302 |
-
"eval_loss": 112.
|
303 |
-
"eval_runtime": 0.
|
304 |
-
"eval_samples_per_second":
|
305 |
-
"eval_steps_per_second": 4.
|
306 |
"step": 94
|
307 |
},
|
308 |
{
|
309 |
"epoch": 28.0,
|
310 |
"eval_accuracy": 0.10869565217391304,
|
311 |
-
"eval_loss": 112.
|
312 |
-
"eval_runtime": 0.
|
313 |
-
"eval_samples_per_second":
|
314 |
-
"eval_steps_per_second":
|
315 |
"step": 98
|
316 |
},
|
317 |
{
|
318 |
"epoch": 28.57,
|
319 |
"learning_rate": 2.7777777777777772e-05,
|
320 |
-
"loss": 111.
|
321 |
"step": 100
|
322 |
},
|
323 |
{
|
324 |
"epoch": 28.86,
|
325 |
"eval_accuracy": 0.10869565217391304,
|
326 |
-
"eval_loss": 112.
|
327 |
-
"eval_runtime": 0.
|
328 |
-
"eval_samples_per_second":
|
329 |
-
"eval_steps_per_second":
|
330 |
"step": 101
|
331 |
},
|
332 |
{
|
333 |
"epoch": 30.0,
|
334 |
"eval_accuracy": 0.10869565217391304,
|
335 |
-
"eval_loss": 112.
|
336 |
-
"eval_runtime": 0.
|
337 |
-
"eval_samples_per_second":
|
338 |
-
"eval_steps_per_second": 4.
|
339 |
"step": 105
|
340 |
},
|
341 |
{
|
342 |
"epoch": 30.86,
|
343 |
"eval_accuracy": 0.10869565217391304,
|
344 |
-
"eval_loss": 112.
|
345 |
-
"eval_runtime": 0.
|
346 |
-
"eval_samples_per_second":
|
347 |
-
"eval_steps_per_second":
|
348 |
"step": 108
|
349 |
},
|
350 |
{
|
351 |
"epoch": 31.43,
|
352 |
"learning_rate": 1.3888888888888886e-05,
|
353 |
-
"loss": 112.
|
354 |
"step": 110
|
355 |
},
|
356 |
{
|
357 |
"epoch": 32.0,
|
358 |
"eval_accuracy": 0.10869565217391304,
|
359 |
-
"eval_loss": 112.
|
360 |
-
"eval_runtime": 0.
|
361 |
-
"eval_samples_per_second":
|
362 |
-
"eval_steps_per_second": 4.
|
363 |
"step": 112
|
364 |
},
|
365 |
{
|
366 |
"epoch": 32.86,
|
367 |
"eval_accuracy": 0.10869565217391304,
|
368 |
-
"eval_loss": 112.
|
369 |
-
"eval_runtime": 0.
|
370 |
-
"eval_samples_per_second": 74.
|
371 |
-
"eval_steps_per_second": 4.
|
372 |
"step": 115
|
373 |
},
|
374 |
{
|
375 |
"epoch": 34.0,
|
376 |
"eval_accuracy": 0.10869565217391304,
|
377 |
-
"eval_loss":
|
378 |
-
"eval_runtime": 0.
|
379 |
-
"eval_samples_per_second":
|
380 |
-
"eval_steps_per_second":
|
381 |
"step": 119
|
382 |
},
|
383 |
{
|
384 |
"epoch": 34.29,
|
385 |
"learning_rate": 0.0,
|
386 |
-
"loss": 112.
|
387 |
"step": 120
|
388 |
},
|
389 |
{
|
390 |
"epoch": 34.29,
|
391 |
"eval_accuracy": 0.10869565217391304,
|
392 |
-
"eval_loss":
|
393 |
-
"eval_runtime": 0.
|
394 |
-
"eval_samples_per_second":
|
395 |
-
"eval_steps_per_second":
|
396 |
"step": 120
|
397 |
},
|
398 |
{
|
399 |
"epoch": 34.29,
|
400 |
"step": 120,
|
401 |
"total_flos": 2.0027429927092224e+16,
|
402 |
-
"train_loss": 112.
|
403 |
-
"train_runtime":
|
404 |
-
"train_samples_per_second":
|
405 |
-
"train_steps_per_second": 0.
|
406 |
}
|
407 |
],
|
408 |
"logging_steps": 10,
|
|
|
11 |
{
|
12 |
"epoch": 0.86,
|
13 |
"eval_accuracy": 0.10869565217391304,
|
14 |
+
"eval_loss": 113.73644256591797,
|
15 |
+
"eval_runtime": 0.6432,
|
16 |
+
"eval_samples_per_second": 71.522,
|
17 |
+
"eval_steps_per_second": 4.664,
|
18 |
"step": 3
|
19 |
},
|
20 |
{
|
21 |
"epoch": 2.0,
|
22 |
"eval_accuracy": 0.10869565217391304,
|
23 |
+
"eval_loss": 113.73255157470703,
|
24 |
+
"eval_runtime": 0.6031,
|
25 |
+
"eval_samples_per_second": 76.268,
|
26 |
+
"eval_steps_per_second": 4.974,
|
27 |
"step": 7
|
28 |
},
|
29 |
{
|
30 |
"epoch": 2.86,
|
31 |
"learning_rate": 0.000125,
|
32 |
+
"loss": 114.0068,
|
33 |
"step": 10
|
34 |
},
|
35 |
{
|
36 |
"epoch": 2.86,
|
37 |
"eval_accuracy": 0.10869565217391304,
|
38 |
+
"eval_loss": 113.72559356689453,
|
39 |
+
"eval_runtime": 0.8182,
|
40 |
+
"eval_samples_per_second": 56.221,
|
41 |
+
"eval_steps_per_second": 3.667,
|
42 |
"step": 10
|
43 |
},
|
44 |
{
|
45 |
"epoch": 4.0,
|
46 |
"eval_accuracy": 0.10869565217391304,
|
47 |
+
"eval_loss": 113.71858215332031,
|
48 |
+
"eval_runtime": 0.5882,
|
49 |
+
"eval_samples_per_second": 78.211,
|
50 |
+
"eval_steps_per_second": 5.101,
|
51 |
"step": 14
|
52 |
},
|
53 |
{
|
54 |
"epoch": 4.86,
|
55 |
"eval_accuracy": 0.10869565217391304,
|
56 |
+
"eval_loss": 113.7029037475586,
|
57 |
+
"eval_runtime": 0.5851,
|
58 |
+
"eval_samples_per_second": 78.615,
|
59 |
+
"eval_steps_per_second": 5.127,
|
60 |
"step": 17
|
61 |
},
|
62 |
{
|
63 |
"epoch": 5.71,
|
64 |
"learning_rate": 0.0001388888888888889,
|
65 |
+
"loss": 113.3375,
|
66 |
"step": 20
|
67 |
},
|
68 |
{
|
69 |
"epoch": 6.0,
|
70 |
"eval_accuracy": 0.10869565217391304,
|
71 |
+
"eval_loss": 113.67913818359375,
|
72 |
+
"eval_runtime": 0.5952,
|
73 |
+
"eval_samples_per_second": 77.291,
|
74 |
+
"eval_steps_per_second": 5.041,
|
75 |
"step": 21
|
76 |
},
|
77 |
{
|
78 |
"epoch": 6.86,
|
79 |
"eval_accuracy": 0.10869565217391304,
|
80 |
+
"eval_loss": 113.62146759033203,
|
81 |
+
"eval_runtime": 0.5841,
|
82 |
+
"eval_samples_per_second": 78.749,
|
83 |
+
"eval_steps_per_second": 5.136,
|
84 |
"step": 24
|
85 |
},
|
86 |
{
|
87 |
"epoch": 8.0,
|
88 |
"eval_accuracy": 0.10869565217391304,
|
89 |
+
"eval_loss": 113.5252456665039,
|
90 |
+
"eval_runtime": 0.5881,
|
91 |
+
"eval_samples_per_second": 78.214,
|
92 |
+
"eval_steps_per_second": 5.101,
|
93 |
"step": 28
|
94 |
},
|
95 |
{
|
96 |
"epoch": 8.57,
|
97 |
"learning_rate": 0.000125,
|
98 |
+
"loss": 111.4746,
|
99 |
"step": 30
|
100 |
},
|
101 |
{
|
102 |
"epoch": 8.86,
|
103 |
"eval_accuracy": 0.10869565217391304,
|
104 |
+
"eval_loss": 113.43194580078125,
|
105 |
+
"eval_runtime": 0.6071,
|
106 |
+
"eval_samples_per_second": 75.766,
|
107 |
+
"eval_steps_per_second": 4.941,
|
108 |
"step": 31
|
109 |
},
|
110 |
{
|
111 |
"epoch": 10.0,
|
112 |
"eval_accuracy": 0.10869565217391304,
|
113 |
+
"eval_loss": 113.33634948730469,
|
114 |
+
"eval_runtime": 0.7002,
|
115 |
+
"eval_samples_per_second": 65.698,
|
116 |
+
"eval_steps_per_second": 4.285,
|
117 |
"step": 35
|
118 |
},
|
119 |
{
|
120 |
"epoch": 10.86,
|
121 |
"eval_accuracy": 0.10869565217391304,
|
122 |
+
"eval_loss": 113.2650375366211,
|
123 |
+
"eval_runtime": 0.5971,
|
124 |
+
"eval_samples_per_second": 77.035,
|
125 |
+
"eval_steps_per_second": 5.024,
|
126 |
"step": 38
|
127 |
},
|
128 |
{
|
129 |
"epoch": 11.43,
|
130 |
"learning_rate": 0.00011111111111111109,
|
131 |
+
"loss": 115.4431,
|
132 |
"step": 40
|
133 |
},
|
134 |
{
|
135 |
"epoch": 12.0,
|
136 |
"eval_accuracy": 0.10869565217391304,
|
137 |
+
"eval_loss": 113.21066284179688,
|
138 |
+
"eval_runtime": 0.6032,
|
139 |
+
"eval_samples_per_second": 76.266,
|
140 |
+
"eval_steps_per_second": 4.974,
|
141 |
"step": 42
|
142 |
},
|
143 |
{
|
144 |
"epoch": 12.86,
|
145 |
"eval_accuracy": 0.10869565217391304,
|
146 |
+
"eval_loss": 113.073486328125,
|
147 |
+
"eval_runtime": 0.6161,
|
148 |
+
"eval_samples_per_second": 74.659,
|
149 |
+
"eval_steps_per_second": 4.869,
|
150 |
"step": 45
|
151 |
},
|
152 |
{
|
153 |
"epoch": 14.0,
|
154 |
"eval_accuracy": 0.10869565217391304,
|
155 |
+
"eval_loss": 112.95938873291016,
|
156 |
+
"eval_runtime": 0.5966,
|
157 |
+
"eval_samples_per_second": 77.098,
|
158 |
+
"eval_steps_per_second": 5.028,
|
159 |
"step": 49
|
160 |
},
|
161 |
{
|
162 |
"epoch": 14.29,
|
163 |
"learning_rate": 9.722222222222222e-05,
|
164 |
+
"loss": 111.5901,
|
165 |
"step": 50
|
166 |
},
|
167 |
{
|
168 |
"epoch": 14.86,
|
169 |
"eval_accuracy": 0.10869565217391304,
|
170 |
+
"eval_loss": 112.85713195800781,
|
171 |
+
"eval_runtime": 0.5917,
|
172 |
+
"eval_samples_per_second": 77.748,
|
173 |
+
"eval_steps_per_second": 5.071,
|
174 |
"step": 52
|
175 |
},
|
176 |
{
|
177 |
"epoch": 16.0,
|
178 |
"eval_accuracy": 0.10869565217391304,
|
179 |
+
"eval_loss": 112.6748275756836,
|
180 |
+
"eval_runtime": 0.6246,
|
181 |
+
"eval_samples_per_second": 73.641,
|
182 |
+
"eval_steps_per_second": 4.803,
|
183 |
"step": 56
|
184 |
},
|
185 |
{
|
186 |
"epoch": 16.86,
|
187 |
"eval_accuracy": 0.10869565217391304,
|
188 |
+
"eval_loss": 112.67044067382812,
|
189 |
+
"eval_runtime": 0.5956,
|
190 |
+
"eval_samples_per_second": 77.227,
|
191 |
+
"eval_steps_per_second": 5.037,
|
192 |
"step": 59
|
193 |
},
|
194 |
{
|
195 |
"epoch": 17.14,
|
196 |
"learning_rate": 8.333333333333333e-05,
|
197 |
+
"loss": 112.1751,
|
198 |
"step": 60
|
199 |
},
|
200 |
{
|
201 |
"epoch": 18.0,
|
202 |
"eval_accuracy": 0.10869565217391304,
|
203 |
+
"eval_loss": 112.64176177978516,
|
204 |
+
"eval_runtime": 0.5781,
|
205 |
+
"eval_samples_per_second": 79.567,
|
206 |
+
"eval_steps_per_second": 5.189,
|
207 |
"step": 63
|
208 |
},
|
209 |
{
|
210 |
"epoch": 18.86,
|
211 |
"eval_accuracy": 0.10869565217391304,
|
212 |
+
"eval_loss": 112.83734130859375,
|
213 |
+
"eval_runtime": 0.5902,
|
214 |
+
"eval_samples_per_second": 77.946,
|
215 |
+
"eval_steps_per_second": 5.083,
|
216 |
"step": 66
|
217 |
},
|
218 |
{
|
219 |
"epoch": 20.0,
|
220 |
"learning_rate": 6.944444444444444e-05,
|
221 |
+
"loss": 112.9078,
|
222 |
"step": 70
|
223 |
},
|
224 |
{
|
225 |
"epoch": 20.0,
|
226 |
"eval_accuracy": 0.10869565217391304,
|
227 |
+
"eval_loss": 112.83795166015625,
|
228 |
+
"eval_runtime": 0.6191,
|
229 |
+
"eval_samples_per_second": 74.297,
|
230 |
+
"eval_steps_per_second": 4.845,
|
231 |
"step": 70
|
232 |
},
|
233 |
{
|
234 |
"epoch": 20.86,
|
235 |
"eval_accuracy": 0.10869565217391304,
|
236 |
+
"eval_loss": 112.79137420654297,
|
237 |
+
"eval_runtime": 0.6136,
|
238 |
+
"eval_samples_per_second": 74.962,
|
239 |
+
"eval_steps_per_second": 4.889,
|
240 |
"step": 73
|
241 |
},
|
242 |
{
|
243 |
"epoch": 22.0,
|
244 |
"eval_accuracy": 0.10869565217391304,
|
245 |
+
"eval_loss": 112.58869934082031,
|
246 |
+
"eval_runtime": 0.5846,
|
247 |
+
"eval_samples_per_second": 78.681,
|
248 |
+
"eval_steps_per_second": 5.131,
|
249 |
"step": 77
|
250 |
},
|
251 |
{
|
252 |
"epoch": 22.86,
|
253 |
"learning_rate": 5.5555555555555545e-05,
|
254 |
+
"loss": 113.1403,
|
255 |
"step": 80
|
256 |
},
|
257 |
{
|
258 |
"epoch": 22.86,
|
259 |
"eval_accuracy": 0.10869565217391304,
|
260 |
+
"eval_loss": 112.61984252929688,
|
261 |
+
"eval_runtime": 0.6196,
|
262 |
+
"eval_samples_per_second": 74.236,
|
263 |
+
"eval_steps_per_second": 4.841,
|
264 |
"step": 80
|
265 |
},
|
266 |
{
|
267 |
"epoch": 24.0,
|
268 |
"eval_accuracy": 0.10869565217391304,
|
269 |
+
"eval_loss": 112.25711059570312,
|
270 |
+
"eval_runtime": 0.6051,
|
271 |
+
"eval_samples_per_second": 76.016,
|
272 |
+
"eval_steps_per_second": 4.958,
|
273 |
"step": 84
|
274 |
},
|
275 |
{
|
276 |
"epoch": 24.86,
|
277 |
"eval_accuracy": 0.10869565217391304,
|
278 |
+
"eval_loss": 112.2410659790039,
|
279 |
+
"eval_runtime": 0.5831,
|
280 |
+
"eval_samples_per_second": 78.884,
|
281 |
+
"eval_steps_per_second": 5.145,
|
282 |
"step": 87
|
283 |
},
|
284 |
{
|
285 |
"epoch": 25.71,
|
286 |
"learning_rate": 4.1666666666666665e-05,
|
287 |
+
"loss": 112.9338,
|
288 |
"step": 90
|
289 |
},
|
290 |
{
|
291 |
"epoch": 26.0,
|
292 |
"eval_accuracy": 0.10869565217391304,
|
293 |
+
"eval_loss": 112.16959381103516,
|
294 |
+
"eval_runtime": 0.6226,
|
295 |
+
"eval_samples_per_second": 73.878,
|
296 |
+
"eval_steps_per_second": 4.818,
|
297 |
"step": 91
|
298 |
},
|
299 |
{
|
300 |
"epoch": 26.86,
|
301 |
"eval_accuracy": 0.10869565217391304,
|
302 |
+
"eval_loss": 112.15655517578125,
|
303 |
+
"eval_runtime": 0.6151,
|
304 |
+
"eval_samples_per_second": 74.78,
|
305 |
+
"eval_steps_per_second": 4.877,
|
306 |
"step": 94
|
307 |
},
|
308 |
{
|
309 |
"epoch": 28.0,
|
310 |
"eval_accuracy": 0.10869565217391304,
|
311 |
+
"eval_loss": 112.32354736328125,
|
312 |
+
"eval_runtime": 0.5866,
|
313 |
+
"eval_samples_per_second": 78.413,
|
314 |
+
"eval_steps_per_second": 5.114,
|
315 |
"step": 98
|
316 |
},
|
317 |
{
|
318 |
"epoch": 28.57,
|
319 |
"learning_rate": 2.7777777777777772e-05,
|
320 |
+
"loss": 111.1035,
|
321 |
"step": 100
|
322 |
},
|
323 |
{
|
324 |
"epoch": 28.86,
|
325 |
"eval_accuracy": 0.10869565217391304,
|
326 |
+
"eval_loss": 112.26287841796875,
|
327 |
+
"eval_runtime": 0.5856,
|
328 |
+
"eval_samples_per_second": 78.547,
|
329 |
+
"eval_steps_per_second": 5.123,
|
330 |
"step": 101
|
331 |
},
|
332 |
{
|
333 |
"epoch": 30.0,
|
334 |
"eval_accuracy": 0.10869565217391304,
|
335 |
+
"eval_loss": 112.05860137939453,
|
336 |
+
"eval_runtime": 0.6191,
|
337 |
+
"eval_samples_per_second": 74.297,
|
338 |
+
"eval_steps_per_second": 4.845,
|
339 |
"step": 105
|
340 |
},
|
341 |
{
|
342 |
"epoch": 30.86,
|
343 |
"eval_accuracy": 0.10869565217391304,
|
344 |
+
"eval_loss": 112.09107208251953,
|
345 |
+
"eval_runtime": 0.5961,
|
346 |
+
"eval_samples_per_second": 77.164,
|
347 |
+
"eval_steps_per_second": 5.032,
|
348 |
"step": 108
|
349 |
},
|
350 |
{
|
351 |
"epoch": 31.43,
|
352 |
"learning_rate": 1.3888888888888886e-05,
|
353 |
+
"loss": 112.5756,
|
354 |
"step": 110
|
355 |
},
|
356 |
{
|
357 |
"epoch": 32.0,
|
358 |
"eval_accuracy": 0.10869565217391304,
|
359 |
+
"eval_loss": 112.2091293334961,
|
360 |
+
"eval_runtime": 0.6056,
|
361 |
+
"eval_samples_per_second": 75.952,
|
362 |
+
"eval_steps_per_second": 4.953,
|
363 |
"step": 112
|
364 |
},
|
365 |
{
|
366 |
"epoch": 32.86,
|
367 |
"eval_accuracy": 0.10869565217391304,
|
368 |
+
"eval_loss": 112.1567611694336,
|
369 |
+
"eval_runtime": 0.6136,
|
370 |
+
"eval_samples_per_second": 74.962,
|
371 |
+
"eval_steps_per_second": 4.889,
|
372 |
"step": 115
|
373 |
},
|
374 |
{
|
375 |
"epoch": 34.0,
|
376 |
"eval_accuracy": 0.10869565217391304,
|
377 |
+
"eval_loss": 111.84735870361328,
|
378 |
+
"eval_runtime": 0.5926,
|
379 |
+
"eval_samples_per_second": 77.618,
|
380 |
+
"eval_steps_per_second": 5.062,
|
381 |
"step": 119
|
382 |
},
|
383 |
{
|
384 |
"epoch": 34.29,
|
385 |
"learning_rate": 0.0,
|
386 |
+
"loss": 112.2756,
|
387 |
"step": 120
|
388 |
},
|
389 |
{
|
390 |
"epoch": 34.29,
|
391 |
"eval_accuracy": 0.10869565217391304,
|
392 |
+
"eval_loss": 111.86297607421875,
|
393 |
+
"eval_runtime": 0.5896,
|
394 |
+
"eval_samples_per_second": 78.014,
|
395 |
+
"eval_steps_per_second": 5.088,
|
396 |
"step": 120
|
397 |
},
|
398 |
{
|
399 |
"epoch": 34.29,
|
400 |
"step": 120,
|
401 |
"total_flos": 2.0027429927092224e+16,
|
402 |
+
"train_loss": 112.74697774251302,
|
403 |
+
"train_runtime": 128.6494,
|
404 |
+
"train_samples_per_second": 66.226,
|
405 |
+
"train_steps_per_second": 0.933
|
406 |
}
|
407 |
],
|
408 |
"logging_steps": 10,
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4728
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3167ae056426e39cedb2d2abec62f92123cfad39beb1fe893e34fb5f5a3a4aa2
|
3 |
size 4728
|