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  1. README.md +24 -24
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@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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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: 4.2456
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  ## Model description
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@@ -48,29 +48,29 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:-----:|:---------------:|
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- | 7.4032 | 0.0845 | 500 | 7.3898 |
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- | 6.6372 | 0.1689 | 1000 | 6.6140 |
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- | 6.0337 | 0.2534 | 1500 | 6.0218 |
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- | 5.4855 | 0.3379 | 2000 | 5.4488 |
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- | 5.1721 | 0.4224 | 2500 | 5.1130 |
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- | 4.9505 | 0.5068 | 3000 | 4.9257 |
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- | 4.8270 | 0.5913 | 3500 | 4.7984 |
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- | 4.7426 | 0.6758 | 4000 | 4.7051 |
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- | 4.6787 | 0.7603 | 4500 | 4.6291 |
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- | 4.6144 | 0.8447 | 5000 | 4.5660 |
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- | 4.5467 | 0.9292 | 5500 | 4.5108 |
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- | 4.4913 | 1.0137 | 6000 | 4.4702 |
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- | 4.4524 | 1.0982 | 6500 | 4.4297 |
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- | 4.3943 | 1.1826 | 7000 | 4.3960 |
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- | 4.4030 | 1.2671 | 7500 | 4.3625 |
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- | 4.4039 | 1.3516 | 8000 | 4.3367 |
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- | 4.3564 | 1.4361 | 8500 | 4.3136 |
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- | 4.3499 | 1.5205 | 9000 | 4.2927 |
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- | 4.3203 | 1.6050 | 9500 | 4.2759 |
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- | 4.3136 | 1.6895 | 10000 | 4.2620 |
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- | 4.3009 | 1.7739 | 10500 | 4.2538 |
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- | 4.2919 | 1.8584 | 11000 | 4.2478 |
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- | 4.2787 | 1.9429 | 11500 | 4.2456 |
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  ### Framework versions
 
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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: 4.2659
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:-----:|:---------------:|
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+ | 7.4032 | 0.0845 | 500 | 7.3900 |
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+ | 6.6368 | 0.1689 | 1000 | 6.6176 |
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+ | 6.0293 | 0.2534 | 1500 | 6.0336 |
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+ | 5.4871 | 0.3379 | 2000 | 5.4602 |
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+ | 5.1774 | 0.4224 | 2500 | 5.1387 |
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+ | 4.9533 | 0.5068 | 3000 | 4.9452 |
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+ | 4.8279 | 0.5913 | 3500 | 4.8122 |
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+ | 4.7441 | 0.6758 | 4000 | 4.7194 |
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+ | 4.6783 | 0.7603 | 4500 | 4.6470 |
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+ | 4.6144 | 0.8447 | 5000 | 4.5846 |
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+ | 4.5477 | 0.9292 | 5500 | 4.5297 |
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+ | 4.4920 | 1.0137 | 6000 | 4.4871 |
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+ | 4.4523 | 1.0982 | 6500 | 4.4475 |
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+ | 4.3954 | 1.1826 | 7000 | 4.4127 |
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+ | 4.4032 | 1.2671 | 7500 | 4.3827 |
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+ | 4.4052 | 1.3516 | 8000 | 4.3571 |
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+ | 4.3566 | 1.4361 | 8500 | 4.3329 |
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+ | 4.3505 | 1.5205 | 9000 | 4.3124 |
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+ | 4.3208 | 1.6050 | 9500 | 4.2945 |
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+ | 4.3149 | 1.6895 | 10000 | 4.2829 |
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+ | 4.3015 | 1.7739 | 10500 | 4.2739 |
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+ | 4.2932 | 1.8584 | 11000 | 4.2682 |
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+ | 4.2789 | 1.9429 | 11500 | 4.2659 |
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  ### Framework versions