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Training in progress epoch 3

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@@ -14,9 +14,9 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [dccuchile/distilbert-base-spanish-uncased-finetuned-qa-mlqa](https://huggingface.co/dccuchile/distilbert-base-spanish-uncased-finetuned-qa-mlqa) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 1.3231
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  - Validation Loss: 1.6961
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- - Epoch: 2
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  ## Model description
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@@ -45,6 +45,7 @@ The following hyperparameters were used during training:
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  | 1.9292 | 1.7179 | 0 |
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  | 1.4487 | 1.6961 | 1 |
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  | 1.3231 | 1.6961 | 2 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [dccuchile/distilbert-base-spanish-uncased-finetuned-qa-mlqa](https://huggingface.co/dccuchile/distilbert-base-spanish-uncased-finetuned-qa-mlqa) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 1.3165
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  - Validation Loss: 1.6961
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+ - Epoch: 3
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  ## Model description
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  | 1.9292 | 1.7179 | 0 |
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  | 1.4487 | 1.6961 | 1 |
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  | 1.3231 | 1.6961 | 2 |
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+ | 1.3165 | 1.6961 | 3 |
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  ### Framework versions