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README.md CHANGED
@@ -14,12 +14,12 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [mrm8488/distill-bert-base-spanish-wwm-cased-finetuned-spa-squad2-es](https://huggingface.co/mrm8488/distill-bert-base-spanish-wwm-cased-finetuned-spa-squad2-es) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 3.4844
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  - Train End Logits Accuracy: 0.1667
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- - Train Start Logits Accuracy: 0.6667
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- - Validation Loss: 3.3110
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  - Validation End Logits Accuracy: 0.1667
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- - Validation Start Logits Accuracy: 0.8333
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  - Epoch: 1
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  ## Model description
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  | Train Loss | Train End Logits Accuracy | Train Start Logits Accuracy | Validation Loss | Validation End Logits Accuracy | Validation Start Logits Accuracy | Epoch |
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  |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
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- | 4.6599 | 0.1667 | 0.1667 | 3.5520 | 0.1667 | 0.6667 | 0 |
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- | 3.4844 | 0.1667 | 0.6667 | 3.3110 | 0.1667 | 0.8333 | 1 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [mrm8488/distill-bert-base-spanish-wwm-cased-finetuned-spa-squad2-es](https://huggingface.co/mrm8488/distill-bert-base-spanish-wwm-cased-finetuned-spa-squad2-es) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 4.1549
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  - Train End Logits Accuracy: 0.1667
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+ - Train Start Logits Accuracy: 0.1667
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+ - Validation Loss: 3.6364
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  - Validation End Logits Accuracy: 0.1667
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+ - Validation Start Logits Accuracy: 0.6667
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  - Epoch: 1
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  ## Model description
 
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  | Train Loss | Train End Logits Accuracy | Train Start Logits Accuracy | Validation Loss | Validation End Logits Accuracy | Validation Start Logits Accuracy | Epoch |
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  |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
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+ | 4.9003 | 0.0 | 0.3333 | 4.2136 | 0.1667 | 0.5 | 0 |
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+ | 4.1549 | 0.1667 | 0.1667 | 3.6364 | 0.1667 | 0.6667 | 1 |
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  ### Framework versions
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