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uda_rules_qa

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End of training

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  1. README.md +15 -10
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [MMG/bert-base-spanish-wwm-cased-finetuned-spa-squad2-es-finetuned-sqac](https://huggingface.co/MMG/bert-base-spanish-wwm-cased-finetuned-spa-squad2-es-finetuned-sqac) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8856
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  ## Model description
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@@ -33,24 +33,29 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 2e-05
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- - train_batch_size: 8
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- - eval_batch_size: 8
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 5
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 3.5192 | 1.0 | 22 | 1.6791 |
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- | 1.1655 | 2.0 | 44 | 1.1713 |
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- | 0.7438 | 3.0 | 66 | 0.9132 |
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- | 0.5076 | 4.0 | 88 | 0.9192 |
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- | 0.4079 | 5.0 | 110 | 0.8856 |
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [MMG/bert-base-spanish-wwm-cased-finetuned-spa-squad2-es-finetuned-sqac](https://huggingface.co/MMG/bert-base-spanish-wwm-cased-finetuned-spa-squad2-es-finetuned-sqac) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7942
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 3e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 10
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 3.5869 | 1.0 | 12 | 1.6284 |
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+ | 1.2133 | 2.0 | 24 | 1.0875 |
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+ | 0.7389 | 3.0 | 36 | 0.9449 |
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+ | 0.4553 | 4.0 | 48 | 0.8414 |
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+ | 0.2936 | 5.0 | 60 | 0.8983 |
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+ | 0.1767 | 6.0 | 72 | 0.9017 |
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+ | 0.1476 | 7.0 | 84 | 0.7747 |
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+ | 0.088 | 8.0 | 96 | 0.8623 |
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+ | 0.0663 | 9.0 | 108 | 0.8629 |
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+ | 0.0624 | 10.0 | 120 | 0.7942 |
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  ### Framework versions
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