Augusto777
commited on
End of training
Browse files- README.md +37 -37
- all_results.json +8 -8
- eval_results.json +4 -4
- model.safetensors +1 -1
- runs/Dec02_10-23-47_DESKTOP-SKBE9FB/events.out.tfevents.1733156627.DESKTOP-SKBE9FB.19684.0 +3 -0
- runs/Dec02_10-23-47_DESKTOP-SKBE9FB/events.out.tfevents.1733156758.DESKTOP-SKBE9FB.19684.1 +3 -0
- train_results.json +4 -4
- trainer_state.json +167 -167
- 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
|
@@ -51,7 +51,7 @@ More information needed
|
|
51 |
### Training hyperparameters
|
52 |
|
53 |
The following hyperparameters were used during training:
|
54 |
-
- learning_rate:
|
55 |
- train_batch_size: 16
|
56 |
- eval_batch_size: 16
|
57 |
- seed: 42
|
@@ -65,41 +65,41 @@ The following hyperparameters were used during training:
|
|
65 |
|
66 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
67 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
68 |
-
| No log | 0.86 | 3 | 113.
|
69 |
-
| No log | 2.0 | 7 | 113.
|
70 |
-
| 114.
|
71 |
-
| 114.
|
72 |
-
| 114.
|
73 |
-
| 113.
|
74 |
-
| 113.
|
75 |
-
| 113.
|
76 |
-
| 111.
|
77 |
-
| 111.
|
78 |
-
| 111.
|
79 |
-
|
|
80 |
-
|
|
81 |
-
|
|
82 |
-
|
|
83 |
-
|
|
84 |
-
|
|
85 |
-
|
|
86 |
-
|
|
87 |
-
|
|
88 |
-
|
|
89 |
-
|
|
90 |
-
|
|
91 |
-
|
|
92 |
-
|
|
93 |
-
|
|
94 |
-
|
|
95 |
-
|
|
96 |
-
|
|
97 |
-
|
|
98 |
-
|
|
99 |
-
|
|
100 |
-
|
|
101 |
-
|
|
102 |
-
|
|
103 |
|
104 |
|
105 |
### 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: 113.8883
|
35 |
- Accuracy: 0.1087
|
36 |
|
37 |
## Model description
|
|
|
51 |
### Training hyperparameters
|
52 |
|
53 |
The following hyperparameters were used during training:
|
54 |
+
- learning_rate: 2.5e-05
|
55 |
- train_batch_size: 16
|
56 |
- eval_batch_size: 16
|
57 |
- seed: 42
|
|
|
65 |
|
66 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
67 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
68 |
+
| No log | 0.86 | 3 | 113.8883 | 0.1087 |
|
69 |
+
| No log | 2.0 | 7 | 113.8868 | 0.1087 |
|
70 |
+
| 114.1606 | 2.86 | 10 | 113.8851 | 0.1087 |
|
71 |
+
| 114.1606 | 4.0 | 14 | 113.8846 | 0.1087 |
|
72 |
+
| 114.1606 | 4.86 | 17 | 113.8832 | 0.1087 |
|
73 |
+
| 113.5172 | 6.0 | 21 | 113.8808 | 0.1087 |
|
74 |
+
| 113.5172 | 6.86 | 24 | 113.8795 | 0.1087 |
|
75 |
+
| 113.5172 | 8.0 | 28 | 113.8794 | 0.1087 |
|
76 |
+
| 111.7557 | 8.86 | 31 | 113.8766 | 0.1087 |
|
77 |
+
| 111.7557 | 10.0 | 35 | 113.8747 | 0.1087 |
|
78 |
+
| 111.7557 | 10.86 | 38 | 113.8735 | 0.1087 |
|
79 |
+
| 115.9434 | 12.0 | 42 | 113.8712 | 0.1087 |
|
80 |
+
| 115.9434 | 12.86 | 45 | 113.8699 | 0.1087 |
|
81 |
+
| 115.9434 | 14.0 | 49 | 113.8671 | 0.1087 |
|
82 |
+
| 112.3427 | 14.86 | 52 | 113.8607 | 0.1087 |
|
83 |
+
| 112.3427 | 16.0 | 56 | 113.8567 | 0.1087 |
|
84 |
+
| 112.3427 | 16.86 | 59 | 113.8570 | 0.1087 |
|
85 |
+
| 113.2123 | 18.0 | 63 | 113.8532 | 0.1087 |
|
86 |
+
| 113.2123 | 18.86 | 66 | 113.8511 | 0.1087 |
|
87 |
+
| 114.0835 | 20.0 | 70 | 113.8500 | 0.1087 |
|
88 |
+
| 114.0835 | 20.86 | 73 | 113.8469 | 0.1087 |
|
89 |
+
| 114.0835 | 22.0 | 77 | 113.8450 | 0.1087 |
|
90 |
+
| 114.5528 | 22.86 | 80 | 113.8422 | 0.1087 |
|
91 |
+
| 114.5528 | 24.0 | 84 | 113.8341 | 0.1087 |
|
92 |
+
| 114.5528 | 24.86 | 87 | 113.8315 | 0.1087 |
|
93 |
+
| 114.5432 | 26.0 | 91 | 113.8268 | 0.1087 |
|
94 |
+
| 114.5432 | 26.86 | 94 | 113.8247 | 0.1087 |
|
95 |
+
| 114.5432 | 28.0 | 98 | 113.8250 | 0.1087 |
|
96 |
+
| 112.7825 | 28.86 | 101 | 113.8207 | 0.1087 |
|
97 |
+
| 112.7825 | 30.0 | 105 | 113.8155 | 0.1087 |
|
98 |
+
| 112.7825 | 30.86 | 108 | 113.8183 | 0.1087 |
|
99 |
+
| 114.2965 | 32.0 | 112 | 113.8187 | 0.1087 |
|
100 |
+
| 114.2965 | 32.86 | 115 | 113.8187 | 0.1087 |
|
101 |
+
| 114.2965 | 34.0 | 119 | 113.8124 | 0.1087 |
|
102 |
+
| 114.0925 | 34.29 | 120 | 113.8146 | 0.1087 |
|
103 |
|
104 |
|
105 |
### 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": 72.
|
7 |
-
"eval_steps_per_second": 4.
|
8 |
-
"train_loss":
|
9 |
-
"train_runtime":
|
10 |
-
"train_samples_per_second": 65.
|
11 |
-
"train_steps_per_second": 0.
|
12 |
}
|
|
|
1 |
{
|
2 |
"epoch": 34.29,
|
3 |
"eval_accuracy": 0.10869565217391304,
|
4 |
+
"eval_loss": 113.88832092285156,
|
5 |
+
"eval_runtime": 0.6376,
|
6 |
+
"eval_samples_per_second": 72.14,
|
7 |
+
"eval_steps_per_second": 4.705,
|
8 |
+
"train_loss": 113.7735809326172,
|
9 |
+
"train_runtime": 129.8431,
|
10 |
+
"train_samples_per_second": 65.618,
|
11 |
+
"train_steps_per_second": 0.924
|
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": 72.
|
7 |
-
"eval_steps_per_second": 4.
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 34.29,
|
3 |
"eval_accuracy": 0.10869565217391304,
|
4 |
+
"eval_loss": 113.88832092285156,
|
5 |
+
"eval_runtime": 0.6376,
|
6 |
+
"eval_samples_per_second": 72.14,
|
7 |
+
"eval_steps_per_second": 4.705
|
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:fd253f136dfe3348ed3c408b8e3c4cb2dc70ebcd178addaee7cca00fdd69500d
|
3 |
size 12203648
|
runs/Dec02_10-23-47_DESKTOP-SKBE9FB/events.out.tfevents.1733156627.DESKTOP-SKBE9FB.19684.0
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:758bb3a53546fefa16d401a1e735a5aa3c003ee380b1d3c0f92bfcd95b5797fe
|
3 |
+
size 17833
|
runs/Dec02_10-23-47_DESKTOP-SKBE9FB/events.out.tfevents.1733156758.DESKTOP-SKBE9FB.19684.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7c07ec804dac672b35cde8e400e8f120932d2866340da6bd2d5add429a4f2d13
|
3 |
+
size 405
|
train_results.json
CHANGED
@@ -1,7 +1,7 @@
|
|
1 |
{
|
2 |
"epoch": 34.29,
|
3 |
-
"train_loss":
|
4 |
-
"train_runtime":
|
5 |
-
"train_samples_per_second": 65.
|
6 |
-
"train_steps_per_second": 0.
|
7 |
}
|
|
|
1 |
{
|
2 |
"epoch": 34.29,
|
3 |
+
"train_loss": 113.7735809326172,
|
4 |
+
"train_runtime": 129.8431,
|
5 |
+
"train_samples_per_second": 65.618,
|
6 |
+
"train_steps_per_second": 0.924
|
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": 5.
|
27 |
"step": 7
|
28 |
},
|
29 |
{
|
30 |
"epoch": 2.86,
|
31 |
-
"learning_rate":
|
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": 4.
|
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": 4.
|
60 |
"step": 17
|
61 |
},
|
62 |
{
|
63 |
"epoch": 5.71,
|
64 |
-
"learning_rate":
|
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":
|
90 |
-
"eval_runtime": 0.
|
91 |
-
"eval_samples_per_second":
|
92 |
-
"eval_steps_per_second": 4.
|
93 |
"step": 28
|
94 |
},
|
95 |
{
|
96 |
"epoch": 8.57,
|
97 |
-
"learning_rate":
|
98 |
-
"loss": 111.
|
99 |
"step": 30
|
100 |
},
|
101 |
{
|
102 |
"epoch": 8.86,
|
103 |
"eval_accuracy": 0.10869565217391304,
|
104 |
-
"eval_loss":
|
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":
|
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":
|
123 |
-
"eval_runtime": 0.
|
124 |
-
"eval_samples_per_second":
|
125 |
-
"eval_steps_per_second": 4.
|
126 |
"step": 38
|
127 |
},
|
128 |
{
|
129 |
"epoch": 11.43,
|
130 |
-
"learning_rate":
|
131 |
-
"loss":
|
132 |
"step": 40
|
133 |
},
|
134 |
{
|
135 |
"epoch": 12.0,
|
136 |
"eval_accuracy": 0.10869565217391304,
|
137 |
-
"eval_loss":
|
138 |
-
"eval_runtime": 0.
|
139 |
-
"eval_samples_per_second":
|
140 |
-
"eval_steps_per_second": 5.
|
141 |
"step": 42
|
142 |
},
|
143 |
{
|
144 |
"epoch": 12.86,
|
145 |
"eval_accuracy": 0.10869565217391304,
|
146 |
-
"eval_loss":
|
147 |
-
"eval_runtime": 0.
|
148 |
-
"eval_samples_per_second":
|
149 |
-
"eval_steps_per_second":
|
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": 4.
|
159 |
"step": 49
|
160 |
},
|
161 |
{
|
162 |
"epoch": 14.29,
|
163 |
-
"learning_rate":
|
164 |
-
"loss":
|
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":
|
180 |
-
"eval_runtime": 0.
|
181 |
-
"eval_samples_per_second":
|
182 |
-
"eval_steps_per_second":
|
183 |
"step": 56
|
184 |
},
|
185 |
{
|
186 |
"epoch": 16.86,
|
187 |
"eval_accuracy": 0.10869565217391304,
|
188 |
-
"eval_loss":
|
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":
|
197 |
-
"loss":
|
198 |
"step": 60
|
199 |
},
|
200 |
{
|
201 |
"epoch": 18.0,
|
202 |
"eval_accuracy": 0.10869565217391304,
|
203 |
-
"eval_loss":
|
204 |
-
"eval_runtime": 0.
|
205 |
-
"eval_samples_per_second": 75.
|
206 |
-
"eval_steps_per_second": 4.
|
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":
|
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":
|
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":
|
246 |
-
"eval_runtime": 0.
|
247 |
-
"eval_samples_per_second":
|
248 |
-
"eval_steps_per_second": 5.
|
249 |
"step": 77
|
250 |
},
|
251 |
{
|
252 |
"epoch": 22.86,
|
253 |
-
"learning_rate":
|
254 |
-
"loss":
|
255 |
"step": 80
|
256 |
},
|
257 |
{
|
258 |
"epoch": 22.86,
|
259 |
"eval_accuracy": 0.10869565217391304,
|
260 |
-
"eval_loss":
|
261 |
-
"eval_runtime": 0.
|
262 |
-
"eval_samples_per_second":
|
263 |
-
"eval_steps_per_second": 4.
|
264 |
"step": 80
|
265 |
},
|
266 |
{
|
267 |
"epoch": 24.0,
|
268 |
"eval_accuracy": 0.10869565217391304,
|
269 |
-
"eval_loss":
|
270 |
-
"eval_runtime": 0.
|
271 |
-
"eval_samples_per_second":
|
272 |
-
"eval_steps_per_second":
|
273 |
"step": 84
|
274 |
},
|
275 |
{
|
276 |
"epoch": 24.86,
|
277 |
"eval_accuracy": 0.10869565217391304,
|
278 |
-
"eval_loss":
|
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":
|
287 |
-
"loss":
|
288 |
"step": 90
|
289 |
},
|
290 |
{
|
291 |
"epoch": 26.0,
|
292 |
"eval_accuracy": 0.10869565217391304,
|
293 |
-
"eval_loss":
|
294 |
-
"eval_runtime": 0.
|
295 |
-
"eval_samples_per_second": 75.
|
296 |
-
"eval_steps_per_second": 4.
|
297 |
"step": 91
|
298 |
},
|
299 |
{
|
300 |
"epoch": 26.86,
|
301 |
"eval_accuracy": 0.10869565217391304,
|
302 |
-
"eval_loss":
|
303 |
-
"eval_runtime": 0.
|
304 |
-
"eval_samples_per_second":
|
305 |
-
"eval_steps_per_second":
|
306 |
"step": 94
|
307 |
},
|
308 |
{
|
309 |
"epoch": 28.0,
|
310 |
"eval_accuracy": 0.10869565217391304,
|
311 |
-
"eval_loss":
|
312 |
-
"eval_runtime": 0.
|
313 |
-
"eval_samples_per_second":
|
314 |
-
"eval_steps_per_second": 4.
|
315 |
"step": 98
|
316 |
},
|
317 |
{
|
318 |
"epoch": 28.57,
|
319 |
-
"learning_rate": 4.
|
320 |
-
"loss":
|
321 |
"step": 100
|
322 |
},
|
323 |
{
|
324 |
"epoch": 28.86,
|
325 |
"eval_accuracy": 0.10869565217391304,
|
326 |
-
"eval_loss":
|
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":
|
336 |
-
"eval_runtime": 0.
|
337 |
-
"eval_samples_per_second": 74.
|
338 |
-
"eval_steps_per_second": 4.
|
339 |
"step": 105
|
340 |
},
|
341 |
{
|
342 |
"epoch": 30.86,
|
343 |
"eval_accuracy": 0.10869565217391304,
|
344 |
-
"eval_loss":
|
345 |
-
"eval_runtime": 0.
|
346 |
-
"eval_samples_per_second":
|
347 |
-
"eval_steps_per_second": 4.
|
348 |
"step": 108
|
349 |
},
|
350 |
{
|
351 |
"epoch": 31.43,
|
352 |
-
"learning_rate": 2.
|
353 |
-
"loss":
|
354 |
"step": 110
|
355 |
},
|
356 |
{
|
357 |
"epoch": 32.0,
|
358 |
"eval_accuracy": 0.10869565217391304,
|
359 |
-
"eval_loss":
|
360 |
-
"eval_runtime": 0.
|
361 |
-
"eval_samples_per_second":
|
362 |
-
"eval_steps_per_second":
|
363 |
"step": 112
|
364 |
},
|
365 |
{
|
366 |
"epoch": 32.86,
|
367 |
"eval_accuracy": 0.10869565217391304,
|
368 |
-
"eval_loss":
|
369 |
-
"eval_runtime": 0.
|
370 |
-
"eval_samples_per_second":
|
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": 4.
|
381 |
"step": 119
|
382 |
},
|
383 |
{
|
384 |
"epoch": 34.29,
|
385 |
"learning_rate": 0.0,
|
386 |
-
"loss":
|
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":
|
403 |
-
"train_runtime":
|
404 |
-
"train_samples_per_second": 65.
|
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": 113.88832092285156,
|
15 |
+
"eval_runtime": 0.6507,
|
16 |
+
"eval_samples_per_second": 70.697,
|
17 |
+
"eval_steps_per_second": 4.611,
|
18 |
"step": 3
|
19 |
},
|
20 |
{
|
21 |
"epoch": 2.0,
|
22 |
"eval_accuracy": 0.10869565217391304,
|
23 |
+
"eval_loss": 113.88676452636719,
|
24 |
+
"eval_runtime": 0.5971,
|
25 |
+
"eval_samples_per_second": 77.035,
|
26 |
+
"eval_steps_per_second": 5.024,
|
27 |
"step": 7
|
28 |
},
|
29 |
{
|
30 |
"epoch": 2.86,
|
31 |
+
"learning_rate": 2.2916666666666667e-05,
|
32 |
+
"loss": 114.1606,
|
33 |
"step": 10
|
34 |
},
|
35 |
{
|
36 |
"epoch": 2.86,
|
37 |
"eval_accuracy": 0.10869565217391304,
|
38 |
+
"eval_loss": 113.88513946533203,
|
39 |
+
"eval_runtime": 0.6292,
|
40 |
+
"eval_samples_per_second": 73.113,
|
41 |
+
"eval_steps_per_second": 4.768,
|
42 |
"step": 10
|
43 |
},
|
44 |
{
|
45 |
"epoch": 4.0,
|
46 |
"eval_accuracy": 0.10869565217391304,
|
47 |
+
"eval_loss": 113.8846206665039,
|
48 |
+
"eval_runtime": 0.6036,
|
49 |
+
"eval_samples_per_second": 76.204,
|
50 |
+
"eval_steps_per_second": 4.97,
|
51 |
"step": 14
|
52 |
},
|
53 |
{
|
54 |
"epoch": 4.86,
|
55 |
"eval_accuracy": 0.10869565217391304,
|
56 |
+
"eval_loss": 113.88324737548828,
|
57 |
+
"eval_runtime": 0.6196,
|
58 |
+
"eval_samples_per_second": 74.236,
|
59 |
+
"eval_steps_per_second": 4.841,
|
60 |
"step": 17
|
61 |
},
|
62 |
{
|
63 |
"epoch": 5.71,
|
64 |
+
"learning_rate": 2.0833333333333336e-05,
|
65 |
+
"loss": 113.5172,
|
66 |
"step": 20
|
67 |
},
|
68 |
{
|
69 |
"epoch": 6.0,
|
70 |
"eval_accuracy": 0.10869565217391304,
|
71 |
+
"eval_loss": 113.8808364868164,
|
72 |
+
"eval_runtime": 0.6092,
|
73 |
+
"eval_samples_per_second": 75.515,
|
74 |
+
"eval_steps_per_second": 4.925,
|
75 |
"step": 21
|
76 |
},
|
77 |
{
|
78 |
"epoch": 6.86,
|
79 |
"eval_accuracy": 0.10869565217391304,
|
80 |
+
"eval_loss": 113.87947082519531,
|
81 |
+
"eval_runtime": 0.6912,
|
82 |
+
"eval_samples_per_second": 66.555,
|
83 |
+
"eval_steps_per_second": 4.341,
|
84 |
"step": 24
|
85 |
},
|
86 |
{
|
87 |
"epoch": 8.0,
|
88 |
"eval_accuracy": 0.10869565217391304,
|
89 |
+
"eval_loss": 113.87939453125,
|
90 |
+
"eval_runtime": 0.6041,
|
91 |
+
"eval_samples_per_second": 76.14,
|
92 |
+
"eval_steps_per_second": 4.966,
|
93 |
"step": 28
|
94 |
},
|
95 |
{
|
96 |
"epoch": 8.57,
|
97 |
+
"learning_rate": 1.8750000000000002e-05,
|
98 |
+
"loss": 111.7557,
|
99 |
"step": 30
|
100 |
},
|
101 |
{
|
102 |
"epoch": 8.86,
|
103 |
"eval_accuracy": 0.10869565217391304,
|
104 |
+
"eval_loss": 113.87659454345703,
|
105 |
+
"eval_runtime": 0.6201,
|
106 |
+
"eval_samples_per_second": 74.177,
|
107 |
+
"eval_steps_per_second": 4.838,
|
108 |
"step": 31
|
109 |
},
|
110 |
{
|
111 |
"epoch": 10.0,
|
112 |
"eval_accuracy": 0.10869565217391304,
|
113 |
+
"eval_loss": 113.87474822998047,
|
114 |
+
"eval_runtime": 0.6842,
|
115 |
+
"eval_samples_per_second": 67.234,
|
116 |
+
"eval_steps_per_second": 4.385,
|
117 |
"step": 35
|
118 |
},
|
119 |
{
|
120 |
"epoch": 10.86,
|
121 |
"eval_accuracy": 0.10869565217391304,
|
122 |
+
"eval_loss": 113.87353515625,
|
123 |
+
"eval_runtime": 0.6136,
|
124 |
+
"eval_samples_per_second": 74.962,
|
125 |
+
"eval_steps_per_second": 4.889,
|
126 |
"step": 38
|
127 |
},
|
128 |
{
|
129 |
"epoch": 11.43,
|
130 |
+
"learning_rate": 1.6666666666666667e-05,
|
131 |
+
"loss": 115.9434,
|
132 |
"step": 40
|
133 |
},
|
134 |
{
|
135 |
"epoch": 12.0,
|
136 |
"eval_accuracy": 0.10869565217391304,
|
137 |
+
"eval_loss": 113.8711929321289,
|
138 |
+
"eval_runtime": 0.5921,
|
139 |
+
"eval_samples_per_second": 77.685,
|
140 |
+
"eval_steps_per_second": 5.066,
|
141 |
"step": 42
|
142 |
},
|
143 |
{
|
144 |
"epoch": 12.86,
|
145 |
"eval_accuracy": 0.10869565217391304,
|
146 |
+
"eval_loss": 113.86994934082031,
|
147 |
+
"eval_runtime": 0.6321,
|
148 |
+
"eval_samples_per_second": 72.768,
|
149 |
+
"eval_steps_per_second": 4.746,
|
150 |
"step": 45
|
151 |
},
|
152 |
{
|
153 |
"epoch": 14.0,
|
154 |
"eval_accuracy": 0.10869565217391304,
|
155 |
+
"eval_loss": 113.86713409423828,
|
156 |
+
"eval_runtime": 0.6061,
|
157 |
+
"eval_samples_per_second": 75.891,
|
158 |
+
"eval_steps_per_second": 4.949,
|
159 |
"step": 49
|
160 |
},
|
161 |
{
|
162 |
"epoch": 14.29,
|
163 |
+
"learning_rate": 1.4583333333333335e-05,
|
164 |
+
"loss": 112.3427,
|
165 |
"step": 50
|
166 |
},
|
167 |
{
|
168 |
"epoch": 14.86,
|
169 |
"eval_accuracy": 0.10869565217391304,
|
170 |
+
"eval_loss": 113.8606948852539,
|
171 |
+
"eval_runtime": 0.6062,
|
172 |
+
"eval_samples_per_second": 75.889,
|
173 |
+
"eval_steps_per_second": 4.949,
|
174 |
"step": 52
|
175 |
},
|
176 |
{
|
177 |
"epoch": 16.0,
|
178 |
"eval_accuracy": 0.10869565217391304,
|
179 |
+
"eval_loss": 113.8567123413086,
|
180 |
+
"eval_runtime": 0.5916,
|
181 |
+
"eval_samples_per_second": 77.75,
|
182 |
+
"eval_steps_per_second": 5.071,
|
183 |
"step": 56
|
184 |
},
|
185 |
{
|
186 |
"epoch": 16.86,
|
187 |
"eval_accuracy": 0.10869565217391304,
|
188 |
+
"eval_loss": 113.85698699951172,
|
189 |
+
"eval_runtime": 0.6427,
|
190 |
+
"eval_samples_per_second": 71.578,
|
191 |
+
"eval_steps_per_second": 4.668,
|
192 |
"step": 59
|
193 |
},
|
194 |
{
|
195 |
"epoch": 17.14,
|
196 |
+
"learning_rate": 1.25e-05,
|
197 |
+
"loss": 113.2123,
|
198 |
"step": 60
|
199 |
},
|
200 |
{
|
201 |
"epoch": 18.0,
|
202 |
"eval_accuracy": 0.10869565217391304,
|
203 |
+
"eval_loss": 113.85321807861328,
|
204 |
+
"eval_runtime": 0.6122,
|
205 |
+
"eval_samples_per_second": 75.144,
|
206 |
+
"eval_steps_per_second": 4.901,
|
207 |
"step": 63
|
208 |
},
|
209 |
{
|
210 |
"epoch": 18.86,
|
211 |
"eval_accuracy": 0.10869565217391304,
|
212 |
+
"eval_loss": 113.85108184814453,
|
213 |
+
"eval_runtime": 0.6031,
|
214 |
+
"eval_samples_per_second": 76.268,
|
215 |
+
"eval_steps_per_second": 4.974,
|
216 |
"step": 66
|
217 |
},
|
218 |
{
|
219 |
"epoch": 20.0,
|
220 |
+
"learning_rate": 1.0416666666666668e-05,
|
221 |
+
"loss": 114.0835,
|
222 |
"step": 70
|
223 |
},
|
224 |
{
|
225 |
"epoch": 20.0,
|
226 |
"eval_accuracy": 0.10869565217391304,
|
227 |
+
"eval_loss": 113.85003662109375,
|
228 |
+
"eval_runtime": 0.6361,
|
229 |
+
"eval_samples_per_second": 72.311,
|
230 |
+
"eval_steps_per_second": 4.716,
|
231 |
"step": 70
|
232 |
},
|
233 |
{
|
234 |
"epoch": 20.86,
|
235 |
"eval_accuracy": 0.10869565217391304,
|
236 |
+
"eval_loss": 113.84687805175781,
|
237 |
+
"eval_runtime": 0.6076,
|
238 |
+
"eval_samples_per_second": 75.702,
|
239 |
+
"eval_steps_per_second": 4.937,
|
240 |
"step": 73
|
241 |
},
|
242 |
{
|
243 |
"epoch": 22.0,
|
244 |
"eval_accuracy": 0.10869565217391304,
|
245 |
+
"eval_loss": 113.84497833251953,
|
246 |
+
"eval_runtime": 0.5921,
|
247 |
+
"eval_samples_per_second": 77.683,
|
248 |
+
"eval_steps_per_second": 5.066,
|
249 |
"step": 77
|
250 |
},
|
251 |
{
|
252 |
"epoch": 22.86,
|
253 |
+
"learning_rate": 8.333333333333334e-06,
|
254 |
+
"loss": 114.5528,
|
255 |
"step": 80
|
256 |
},
|
257 |
{
|
258 |
"epoch": 22.86,
|
259 |
"eval_accuracy": 0.10869565217391304,
|
260 |
+
"eval_loss": 113.84217834472656,
|
261 |
+
"eval_runtime": 0.6551,
|
262 |
+
"eval_samples_per_second": 70.213,
|
263 |
+
"eval_steps_per_second": 4.579,
|
264 |
"step": 80
|
265 |
},
|
266 |
{
|
267 |
"epoch": 24.0,
|
268 |
"eval_accuracy": 0.10869565217391304,
|
269 |
+
"eval_loss": 113.83406829833984,
|
270 |
+
"eval_runtime": 0.5936,
|
271 |
+
"eval_samples_per_second": 77.488,
|
272 |
+
"eval_steps_per_second": 5.054,
|
273 |
"step": 84
|
274 |
},
|
275 |
{
|
276 |
"epoch": 24.86,
|
277 |
"eval_accuracy": 0.10869565217391304,
|
278 |
+
"eval_loss": 113.83149719238281,
|
279 |
+
"eval_runtime": 0.6102,
|
280 |
+
"eval_samples_per_second": 75.391,
|
281 |
+
"eval_steps_per_second": 4.917,
|
282 |
"step": 87
|
283 |
},
|
284 |
{
|
285 |
"epoch": 25.71,
|
286 |
+
"learning_rate": 6.25e-06,
|
287 |
+
"loss": 114.5432,
|
288 |
"step": 90
|
289 |
},
|
290 |
{
|
291 |
"epoch": 26.0,
|
292 |
"eval_accuracy": 0.10869565217391304,
|
293 |
+
"eval_loss": 113.82682037353516,
|
294 |
+
"eval_runtime": 0.6111,
|
295 |
+
"eval_samples_per_second": 75.27,
|
296 |
+
"eval_steps_per_second": 4.909,
|
297 |
"step": 91
|
298 |
},
|
299 |
{
|
300 |
"epoch": 26.86,
|
301 |
"eval_accuracy": 0.10869565217391304,
|
302 |
+
"eval_loss": 113.82469940185547,
|
303 |
+
"eval_runtime": 0.6141,
|
304 |
+
"eval_samples_per_second": 74.902,
|
305 |
+
"eval_steps_per_second": 4.885,
|
306 |
"step": 94
|
307 |
},
|
308 |
{
|
309 |
"epoch": 28.0,
|
310 |
"eval_accuracy": 0.10869565217391304,
|
311 |
+
"eval_loss": 113.82501220703125,
|
312 |
+
"eval_runtime": 0.6132,
|
313 |
+
"eval_samples_per_second": 75.022,
|
314 |
+
"eval_steps_per_second": 4.893,
|
315 |
"step": 98
|
316 |
},
|
317 |
{
|
318 |
"epoch": 28.57,
|
319 |
+
"learning_rate": 4.166666666666667e-06,
|
320 |
+
"loss": 112.7825,
|
321 |
"step": 100
|
322 |
},
|
323 |
{
|
324 |
"epoch": 28.86,
|
325 |
"eval_accuracy": 0.10869565217391304,
|
326 |
+
"eval_loss": 113.8207015991211,
|
327 |
+
"eval_runtime": 0.6082,
|
328 |
+
"eval_samples_per_second": 75.639,
|
329 |
+
"eval_steps_per_second": 4.933,
|
330 |
"step": 101
|
331 |
},
|
332 |
{
|
333 |
"epoch": 30.0,
|
334 |
"eval_accuracy": 0.10869565217391304,
|
335 |
+
"eval_loss": 113.8154525756836,
|
336 |
+
"eval_runtime": 0.6136,
|
337 |
+
"eval_samples_per_second": 74.962,
|
338 |
+
"eval_steps_per_second": 4.889,
|
339 |
"step": 105
|
340 |
},
|
341 |
{
|
342 |
"epoch": 30.86,
|
343 |
"eval_accuracy": 0.10869565217391304,
|
344 |
+
"eval_loss": 113.81825256347656,
|
345 |
+
"eval_runtime": 0.6111,
|
346 |
+
"eval_samples_per_second": 75.27,
|
347 |
+
"eval_steps_per_second": 4.909,
|
348 |
"step": 108
|
349 |
},
|
350 |
{
|
351 |
"epoch": 31.43,
|
352 |
+
"learning_rate": 2.0833333333333334e-06,
|
353 |
+
"loss": 114.2965,
|
354 |
"step": 110
|
355 |
},
|
356 |
{
|
357 |
"epoch": 32.0,
|
358 |
"eval_accuracy": 0.10869565217391304,
|
359 |
+
"eval_loss": 113.8187484741211,
|
360 |
+
"eval_runtime": 0.6492,
|
361 |
+
"eval_samples_per_second": 70.86,
|
362 |
+
"eval_steps_per_second": 4.621,
|
363 |
"step": 112
|
364 |
},
|
365 |
{
|
366 |
"epoch": 32.86,
|
367 |
"eval_accuracy": 0.10869565217391304,
|
368 |
+
"eval_loss": 113.81865692138672,
|
369 |
+
"eval_runtime": 0.6381,
|
370 |
+
"eval_samples_per_second": 72.084,
|
371 |
+
"eval_steps_per_second": 4.701,
|
372 |
"step": 115
|
373 |
},
|
374 |
{
|
375 |
"epoch": 34.0,
|
376 |
"eval_accuracy": 0.10869565217391304,
|
377 |
+
"eval_loss": 113.81236267089844,
|
378 |
+
"eval_runtime": 0.6046,
|
379 |
+
"eval_samples_per_second": 76.078,
|
380 |
+
"eval_steps_per_second": 4.962,
|
381 |
"step": 119
|
382 |
},
|
383 |
{
|
384 |
"epoch": 34.29,
|
385 |
"learning_rate": 0.0,
|
386 |
+
"loss": 114.0925,
|
387 |
"step": 120
|
388 |
},
|
389 |
{
|
390 |
"epoch": 34.29,
|
391 |
"eval_accuracy": 0.10869565217391304,
|
392 |
+
"eval_loss": 113.81463623046875,
|
393 |
+
"eval_runtime": 0.6637,
|
394 |
+
"eval_samples_per_second": 69.313,
|
395 |
+
"eval_steps_per_second": 4.52,
|
396 |
"step": 120
|
397 |
},
|
398 |
{
|
399 |
"epoch": 34.29,
|
400 |
"step": 120,
|
401 |
"total_flos": 2.0027429927092224e+16,
|
402 |
+
"train_loss": 113.7735809326172,
|
403 |
+
"train_runtime": 129.8431,
|
404 |
+
"train_samples_per_second": 65.618,
|
405 |
+
"train_steps_per_second": 0.924
|
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 sha256:15dffc887f0abc9caee2e18a2b30612e3655124e57b6e83dea493f5517e66aea
|
3 |
size 4728
|