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agarc15
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mega-base-wikitext-finetuned-INCIBE

Text Classification
Transformers
PyTorch
mega
Generated from Trainer
Inference Endpoints
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End of training

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  1. README.md +27 -27
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [mnaylor/mega-base-wikitext](https://huggingface.co/mnaylor/mega-base-wikitext) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.5428
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- - Accuracy: 0.3760
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  ## Model description
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@@ -49,31 +49,31 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 196 | 1.8660 | 0.2296 |
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- | No log | 2.0 | 392 | 1.7639 | 0.2457 |
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- | 1.9099 | 3.0 | 588 | 1.7296 | 0.2528 |
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- | 1.9099 | 4.0 | 784 | 1.7125 | 0.2547 |
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- | 1.9099 | 5.0 | 980 | 1.7017 | 0.2595 |
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- | 1.7129 | 6.0 | 1176 | 1.6944 | 0.2946 |
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- | 1.7129 | 7.0 | 1372 | 1.6882 | 0.2872 |
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- | 1.6904 | 8.0 | 1568 | 1.6827 | 0.2830 |
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- | 1.6904 | 9.0 | 1764 | 1.6742 | 0.3204 |
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- | 1.6904 | 10.0 | 1960 | 1.6570 | 0.3312 |
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- | 1.6668 | 11.0 | 2156 | 1.6293 | 0.3514 |
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- | 1.6668 | 12.0 | 2352 | 1.6035 | 0.3555 |
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- | 1.6166 | 13.0 | 2548 | 1.5813 | 0.3607 |
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- | 1.6166 | 14.0 | 2744 | 1.5664 | 0.3671 |
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- | 1.6166 | 15.0 | 2940 | 1.5578 | 0.3715 |
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- | 1.5574 | 16.0 | 3136 | 1.5547 | 0.3715 |
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- | 1.5574 | 17.0 | 3332 | 1.5444 | 0.3738 |
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- | 1.5278 | 18.0 | 3528 | 1.5429 | 0.3760 |
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- | 1.5278 | 19.0 | 3724 | 1.5402 | 0.3757 |
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- | 1.5278 | 20.0 | 3920 | 1.5384 | 0.3738 |
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- | 1.5141 | 21.0 | 4116 | 1.5351 | 0.3745 |
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- | 1.5141 | 22.0 | 4312 | 1.5373 | 0.3738 |
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- | 1.5091 | 23.0 | 4508 | 1.5356 | 0.3715 |
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- | 1.5091 | 24.0 | 4704 | 1.5353 | 0.3730 |
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- | 1.5091 | 25.0 | 4900 | 1.5349 | 0.3734 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [mnaylor/mega-base-wikitext](https://huggingface.co/mnaylor/mega-base-wikitext) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.5169
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+ - Accuracy: 0.3850
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 196 | 1.5359 | 0.3742 |
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+ | No log | 2.0 | 392 | 1.5257 | 0.3753 |
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+ | 1.5035 | 3.0 | 588 | 1.5320 | 0.3719 |
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+ | 1.5035 | 4.0 | 784 | 1.5231 | 0.3715 |
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+ | 1.5035 | 5.0 | 980 | 1.5203 | 0.3745 |
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+ | 1.4755 | 6.0 | 1176 | 1.5217 | 0.3742 |
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+ | 1.4755 | 7.0 | 1372 | 1.5301 | 0.3719 |
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+ | 1.4531 | 8.0 | 1568 | 1.5131 | 0.3805 |
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+ | 1.4531 | 9.0 | 1764 | 1.5212 | 0.3783 |
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+ | 1.4531 | 10.0 | 1960 | 1.5173 | 0.3771 |
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+ | 1.4426 | 11.0 | 2156 | 1.5190 | 0.3809 |
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+ | 1.4426 | 12.0 | 2352 | 1.5122 | 0.3794 |
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+ | 1.4238 | 13.0 | 2548 | 1.5129 | 0.3794 |
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+ | 1.4238 | 14.0 | 2744 | 1.5176 | 0.3783 |
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+ | 1.4238 | 15.0 | 2940 | 1.5139 | 0.3783 |
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+ | 1.4161 | 16.0 | 3136 | 1.5235 | 0.3805 |
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+ | 1.4161 | 17.0 | 3332 | 1.5125 | 0.3846 |
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+ | 1.4115 | 18.0 | 3528 | 1.5171 | 0.3827 |
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+ | 1.4115 | 19.0 | 3724 | 1.5112 | 0.3827 |
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+ | 1.4115 | 20.0 | 3920 | 1.5123 | 0.3816 |
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+ | 1.4052 | 21.0 | 4116 | 1.5126 | 0.3827 |
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+ | 1.4052 | 22.0 | 4312 | 1.5170 | 0.3850 |
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+ | 1.4004 | 23.0 | 4508 | 1.5135 | 0.3805 |
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+ | 1.4004 | 24.0 | 4704 | 1.5157 | 0.3809 |
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+ | 1.4004 | 25.0 | 4900 | 1.5160 | 0.3824 |
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  ### Framework versions
pytorch_model.bin CHANGED
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