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vit_focus

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Safetensors
importance_model
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  2. model.safetensors +1 -1
README.md CHANGED
@@ -12,11 +12,11 @@ should probably proofread and complete it, then remove this comment. -->
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  # vit_focus
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- This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0658
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- - Mse: 0.1253
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- - Mae: 0.3059
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  ## Model description
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@@ -47,35 +47,37 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Mse | Mae |
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- |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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- | No log | 1.0 | 10 | 0.0993 | 0.1529 | 0.3380 |
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- | No log | 2.0 | 20 | 0.1050 | 0.1554 | 0.3409 |
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- | No log | 3.0 | 30 | 0.0997 | 0.1493 | 0.3352 |
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- | 0.313 | 4.0 | 40 | 0.0656 | 0.1345 | 0.3157 |
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- | 0.313 | 5.0 | 50 | 0.0659 | 0.1366 | 0.3203 |
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- | 0.313 | 6.0 | 60 | 0.0639 | 0.1296 | 0.3119 |
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- | 0.313 | 7.0 | 70 | 0.0639 | 0.1351 | 0.3178 |
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- | 0.1742 | 8.0 | 80 | 0.0639 | 0.1274 | 0.3086 |
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- | 0.1742 | 9.0 | 90 | 0.0728 | 0.1294 | 0.3096 |
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- | 0.1742 | 10.0 | 100 | 0.0671 | 0.1330 | 0.3150 |
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- | 0.1742 | 11.0 | 110 | 0.0670 | 0.1260 | 0.3067 |
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- | 0.1284 | 12.0 | 120 | 0.0658 | 0.1253 | 0.3059 |
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- | 0.1284 | 13.0 | 130 | 0.0641 | 0.1281 | 0.3104 |
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- | 0.1284 | 14.0 | 140 | 0.0643 | 0.1289 | 0.3105 |
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- | 0.1284 | 15.0 | 150 | 0.0649 | 0.1342 | 0.3172 |
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- | 0.0981 | 16.0 | 160 | 0.0656 | 0.1276 | 0.3085 |
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- | 0.0981 | 17.0 | 170 | 0.0627 | 0.1316 | 0.3136 |
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- | 0.0981 | 18.0 | 180 | 0.0620 | 0.1343 | 0.3169 |
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- | 0.0981 | 19.0 | 190 | 0.0632 | 0.1311 | 0.3129 |
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- | 0.0767 | 20.0 | 200 | 0.0630 | 0.1326 | 0.3143 |
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- | 0.0767 | 21.0 | 210 | 0.0641 | 0.1299 | 0.3117 |
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- | 0.0767 | 22.0 | 220 | 0.0634 | 0.1294 | 0.3114 |
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- | 0.0767 | 23.0 | 230 | 0.0629 | 0.1315 | 0.3130 |
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- | 0.0615 | 24.0 | 240 | 0.0612 | 0.1308 | 0.3124 |
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- | 0.0615 | 25.0 | 250 | 0.0599 | 0.1302 | 0.3118 |
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- | 0.0615 | 26.0 | 260 | 0.0609 | 0.1313 | 0.3132 |
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- | 0.0615 | 27.0 | 270 | 0.0609 | 0.1301 | 0.3117 |
 
 
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  ### Framework versions
 
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  # vit_focus
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+ This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0580
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+ - Mse: 0.1308
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+ - Mae: 0.3150
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Mse | Mae |
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+ |:-------------:|:-------:|:----:|:---------------:|:------:|:------:|
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+ | No log | 1.0 | 25 | 0.0685 | 0.1397 | 0.3276 |
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+ | 0.2799 | 2.0 | 50 | 0.0614 | 0.1327 | 0.3184 |
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+ | 0.2799 | 3.0 | 75 | 0.0575 | 0.1317 | 0.3171 |
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+ | 0.2134 | 4.0 | 100 | 0.0683 | 0.1370 | 0.3236 |
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+ | 0.2018 | 5.0 | 125 | 0.0610 | 0.1353 | 0.3213 |
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+ | 0.2018 | 6.0 | 150 | 0.0596 | 0.1295 | 0.3133 |
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+ | 0.1714 | 7.0 | 175 | 0.0588 | 0.1327 | 0.3186 |
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+ | 0.1589 | 8.0 | 200 | 0.0621 | 0.1348 | 0.3204 |
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+ | 0.1589 | 9.0 | 225 | 0.0615 | 0.1306 | 0.3157 |
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+ | 0.1381 | 10.0 | 250 | 0.0557 | 0.1280 | 0.3118 |
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+ | 0.1381 | 11.0 | 275 | 0.0580 | 0.1311 | 0.3158 |
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+ | 0.1229 | 12.0 | 300 | 0.0563 | 0.1294 | 0.3139 |
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+ | 0.1112 | 13.0 | 325 | 0.0629 | 0.1393 | 0.3253 |
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+ | 0.1112 | 14.0 | 350 | 0.0605 | 0.1290 | 0.3128 |
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+ | 0.0999 | 15.0 | 375 | 0.0604 | 0.1248 | 0.3083 |
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+ | 0.0896 | 16.0 | 400 | 0.0556 | 0.1308 | 0.3153 |
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+ | 0.0896 | 17.0 | 425 | 0.0610 | 0.1347 | 0.3201 |
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+ | 0.0776 | 18.0 | 450 | 0.0574 | 0.1259 | 0.3093 |
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+ | 0.0776 | 19.0 | 475 | 0.0584 | 0.1253 | 0.3085 |
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+ | 0.069 | 20.0 | 500 | 0.0595 | 0.1265 | 0.3097 |
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+ | 0.0649 | 21.0 | 525 | 0.0576 | 0.1308 | 0.3150 |
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+ | 0.0649 | 22.0 | 550 | 0.0574 | 0.1274 | 0.3109 |
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+ | 0.056 | 23.0 | 575 | 0.0578 | 0.1307 | 0.3149 |
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+ | 0.0508 | 24.0 | 600 | 0.0563 | 0.1296 | 0.3139 |
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+ | 0.0508 | 25.0 | 625 | 0.0568 | 0.1312 | 0.3157 |
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+ | 0.0468 | 26.0 | 650 | 0.0578 | 0.1287 | 0.3123 |
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+ | 0.0468 | 27.0 | 675 | 0.0579 | 0.1305 | 0.3147 |
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+ | 0.0432 | 28.0 | 700 | 0.0572 | 0.1301 | 0.3143 |
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+ | 0.0419 | 28.8247 | 720 | 0.0580 | 0.1308 | 0.3150 |
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  ### Framework versions
model.safetensors CHANGED
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