update model card README.md
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README.md
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This model is a fine-tuned version of [Team-PIXEL/pixel-base](https://huggingface.co/Team-PIXEL/pixel-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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- Accuracy: 0.
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- Qwk: 0.
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- Mae: 1.
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## Model description
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### Training results
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| Training Loss | Epoch | Step
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|
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| 1.9432 | 1.17 | 1000
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| 1.7884 | 2.33 | 2000
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| 1.6395 | 3.5 | 3000
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| 1.5441 | 4.67 | 4000
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| 1.4381 | 5.83 | 5000
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| 1.3416 | 7.0 | 6000
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| 1.1117 | 8.17 | 7000
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### Framework versions
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This model is a fine-tuned version of [Team-PIXEL/pixel-base](https://huggingface.co/Team-PIXEL/pixel-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 6.3326
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- Accuracy: 0.3892
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- Qwk: 0.6388
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- Mae: 1.8358
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Qwk | Mae |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:------:|
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| 1.9432 | 1.17 | 1000 | 1.9813 | 0.2903 | 0.6152 | 1.9717 |
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| 1.7884 | 2.33 | 2000 | 1.8716 | 0.3483 | 0.6381 | 1.8553 |
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| 1.6395 | 3.5 | 3000 | 1.7870 | 0.3800 | 0.6360 | 1.8591 |
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| 1.5441 | 4.67 | 4000 | 1.7913 | 0.3904 | 0.6136 | 1.8680 |
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| 1.4381 | 5.83 | 5000 | 1.8173 | 0.4015 | 0.6175 | 1.8315 |
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| 1.3416 | 7.0 | 6000 | 1.8701 | 0.4048 | 0.6326 | 1.8596 |
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| 1.1117 | 8.17 | 7000 | 2.0323 | 0.4019 | 0.6205 | 1.8443 |
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| 0.9358 | 9.33 | 8000 | 2.2000 | 0.3918 | 0.6131 | 1.8417 |
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| 0.8253 | 10.5 | 9000 | 2.3646 | 0.3874 | 0.6301 | 1.8466 |
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| 0.7368 | 11.67 | 10000 | 2.5149 | 0.3705 | 0.6186 | 1.8927 |
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| 0.6426 | 12.84 | 11000 | 2.7221 | 0.3833 | 0.6394 | 1.8286 |
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| 0.5436 | 14.0 | 12000 | 2.9190 | 0.3732 | 0.6317 | 1.8830 |
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| 0.3693 | 15.17 | 13000 | 3.1721 | 0.3683 | 0.6259 | 1.8774 |
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| 0.3122 | 16.34 | 14000 | 3.4346 | 0.3726 | 0.6375 | 1.8766 |
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| 0.2793 | 17.5 | 15000 | 3.5113 | 0.3800 | 0.6130 | 1.8858 |
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| 0.2391 | 18.67 | 16000 | 3.6291 | 0.3724 | 0.5980 | 1.9398 |
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| 0.2158 | 19.84 | 17000 | 3.7513 | 0.3761 | 0.6269 | 1.8756 |
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| 0.19 | 21.0 | 18000 | 3.9027 | 0.3750 | 0.6211 | 1.8698 |
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| 0.1414 | 22.17 | 19000 | 4.0394 | 0.3698 | 0.6385 | 1.8544 |
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| 0.1291 | 23.34 | 20000 | 4.0933 | 0.3750 | 0.6207 | 1.8874 |
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| 0.1224 | 24.5 | 21000 | 4.3359 | 0.3595 | 0.6202 | 1.9335 |
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| 0.1102 | 25.67 | 22000 | 4.4307 | 0.3648 | 0.6204 | 1.8930 |
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| 0.1023 | 26.84 | 23000 | 4.4486 | 0.3866 | 0.6257 | 1.8577 |
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| 0.1066 | 28.0 | 24000 | 4.4646 | 0.3847 | 0.6341 | 1.8550 |
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| 0.0805 | 29.17 | 25000 | 4.6658 | 0.3880 | 0.6249 | 1.8782 |
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| 0.08 | 30.34 | 26000 | 4.7634 | 0.3817 | 0.6196 | 1.8784 |
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| 0.0661 | 31.51 | 27000 | 4.8402 | 0.3802 | 0.6244 | 1.8792 |
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| 0.0662 | 32.67 | 28000 | 4.9351 | 0.3787 | 0.6271 | 1.8936 |
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| 0.0601 | 33.84 | 29000 | 5.0376 | 0.3762 | 0.6294 | 1.8736 |
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| 0.0581 | 35.01 | 30000 | 5.0760 | 0.3788 | 0.6269 | 1.8772 |
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| 0.0507 | 36.17 | 31000 | 5.3750 | 0.3761 | 0.6288 | 1.8773 |
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| 0.0485 | 37.34 | 32000 | 5.3407 | 0.3862 | 0.6280 | 1.8542 |
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| 0.0436 | 38.51 | 33000 | 5.4958 | 0.3778 | 0.6356 | 1.8647 |
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| 0.0384 | 39.67 | 34000 | 5.5773 | 0.3859 | 0.6357 | 1.8421 |
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| 0.0357 | 40.84 | 35000 | 5.6658 | 0.3763 | 0.6233 | 1.8824 |
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| 0.0341 | 42.01 | 36000 | 5.7353 | 0.3881 | 0.6377 | 1.8453 |
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| 0.0274 | 43.17 | 37000 | 5.9293 | 0.3752 | 0.6272 | 1.8683 |
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| 0.0324 | 44.34 | 38000 | 5.9421 | 0.3763 | 0.6367 | 1.8514 |
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| 0.025 | 45.51 | 39000 | 5.9282 | 0.3770 | 0.6325 | 1.8892 |
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| 0.0207 | 46.67 | 40000 | 6.0769 | 0.3862 | 0.6274 | 1.8492 |
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| 0.0269 | 47.84 | 41000 | 6.1493 | 0.3777 | 0.6328 | 1.8958 |
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| 0.0223 | 49.01 | 42000 | 6.1975 | 0.3724 | 0.6288 | 1.8969 |
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| 0.0176 | 50.18 | 43000 | 6.2215 | 0.3847 | 0.6216 | 1.8710 |
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| 0.0138 | 51.34 | 44000 | 6.2297 | 0.3896 | 0.6426 | 1.8234 |
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| 0.0147 | 52.51 | 45000 | 6.2672 | 0.3886 | 0.6364 | 1.8413 |
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| 0.0148 | 53.68 | 46000 | 6.3318 | 0.3860 | 0.6294 | 1.8544 |
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| 0.0125 | 54.84 | 47000 | 6.3455 | 0.3860 | 0.6329 | 1.8436 |
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| 0.0146 | 56.01 | 48000 | 6.3048 | 0.3904 | 0.6346 | 1.8435 |
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| 0.0142 | 57.18 | 49000 | 6.3378 | 0.3874 | 0.6374 | 1.8393 |
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| 0.0138 | 58.34 | 50000 | 6.3326 | 0.3892 | 0.6388 | 1.8358 |
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### Framework versions
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