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End of training

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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 [dccuchile/albert-base-spanish](https://huggingface.co/dccuchile/albert-base-spanish) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.7391
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- - Accuracy: 0.175
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  ## Model description
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@@ -47,13 +47,30 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 1.8045 | 0.2 | 2 | 1.7948 | 0.15 |
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- | 1.7739 | 0.4 | 4 | 1.7662 | 0.175 |
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- | 1.7259 | 0.6 | 6 | 1.7514 | 0.175 |
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- | 1.7692 | 0.8 | 8 | 1.7454 | 0.2 |
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- | 1.7183 | 1.0 | 10 | 1.7391 | 0.175 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [dccuchile/albert-base-spanish](https://huggingface.co/dccuchile/albert-base-spanish) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.5146
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+ - Accuracy: 0.38
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:------:|:----:|:---------------:|:--------:|
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+ | 1.7601 | 0.0455 | 2 | 1.7148 | 0.3333 |
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+ | 1.7063 | 0.0909 | 4 | 1.6888 | 0.3 |
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+ | 1.5512 | 0.1364 | 6 | 1.6585 | 0.2933 |
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+ | 1.5312 | 0.1818 | 8 | 1.6514 | 0.3 |
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+ | 1.5006 | 0.2273 | 10 | 1.6581 | 0.3 |
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+ | 1.6519 | 0.2727 | 12 | 1.6511 | 0.3067 |
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+ | 1.6397 | 0.3182 | 14 | 1.6347 | 0.3 |
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+ | 1.5275 | 0.3636 | 16 | 1.6183 | 0.3067 |
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+ | 1.8253 | 0.4091 | 18 | 1.5949 | 0.3 |
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+ | 1.7725 | 0.4545 | 20 | 1.5708 | 0.3 |
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+ | 1.5334 | 0.5 | 22 | 1.5591 | 0.3067 |
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+ | 1.3062 | 0.5455 | 24 | 1.5535 | 0.3133 |
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+ | 1.4629 | 0.5909 | 26 | 1.5459 | 0.32 |
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+ | 1.5431 | 0.6364 | 28 | 1.5408 | 0.3333 |
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+ | 1.62 | 0.6818 | 30 | 1.5355 | 0.36 |
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+ | 1.4165 | 0.7273 | 32 | 1.5299 | 0.36 |
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+ | 1.6135 | 0.7727 | 34 | 1.5244 | 0.3733 |
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+ | 1.5181 | 0.8182 | 36 | 1.5220 | 0.3733 |
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+ | 1.3877 | 0.8636 | 38 | 1.5196 | 0.3733 |
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+ | 1.6638 | 0.9091 | 40 | 1.5174 | 0.3733 |
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+ | 1.4348 | 0.9545 | 42 | 1.5154 | 0.38 |
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+ | 1.4226 | 1.0 | 44 | 1.5146 | 0.38 |
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  ### Framework versions
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