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Mi-roberta-QA

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  1. README.md +9 -9
  2. model.safetensors +1 -1
  3. runs/Dec04_21-10-00_DESKTOP-P79TL96/events.out.tfevents.1733364601.DESKTOP-P79TL96 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-base-bne-sqac](https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne-sqac) on the sqac dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.3445
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  ## Model description
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@@ -49,14 +49,14 @@ 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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- | No log | 1.0 | 63 | 2.2381 |
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- | No log | 2.0 | 126 | 2.3253 |
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- | No log | 3.0 | 189 | 2.2333 |
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- | No log | 4.0 | 252 | 2.2228 |
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- | No log | 5.0 | 315 | 2.2494 |
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- | No log | 6.0 | 378 | 2.3012 |
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- | No log | 7.0 | 441 | 2.3352 |
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- | 0.0149 | 8.0 | 504 | 2.3445 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-base-bne-sqac](https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne-sqac) on the sqac dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.2207
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.0567 | 1.0 | 940 | 2.4296 |
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+ | 0.0309 | 2.0 | 1880 | 2.6465 |
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+ | 0.0198 | 3.0 | 2820 | 2.5772 |
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+ | 0.0084 | 4.0 | 3760 | 2.9885 |
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+ | 0.0081 | 5.0 | 4700 | 3.0342 |
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+ | 0.0028 | 6.0 | 5640 | 3.1098 |
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+ | 0.0004 | 7.0 | 6580 | 3.1946 |
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+ | 0.0001 | 8.0 | 7520 | 3.2207 |
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  ### Framework versions
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