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uda_rules_qa

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End of training

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  1. README.md +18 -15
  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: 0.7243
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  ## Model description
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@@ -33,31 +33,34 @@ 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: 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: 12
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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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- | 2.7332 | 1.0 | 22 | 1.4202 |
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- | 0.8099 | 2.0 | 44 | 0.9133 |
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- | 0.4445 | 3.0 | 66 | 0.6754 |
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- | 0.2432 | 4.0 | 88 | 0.6191 |
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- | 0.1033 | 5.0 | 110 | 0.6281 |
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- | 0.0643 | 6.0 | 132 | 0.7338 |
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- | 0.0319 | 7.0 | 154 | 0.7085 |
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- | 0.0242 | 8.0 | 176 | 0.7378 |
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- | 0.0186 | 9.0 | 198 | 0.7354 |
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- | 0.017 | 10.0 | 220 | 0.7371 |
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- | 0.0071 | 11.0 | 242 | 0.7257 |
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- | 0.0064 | 12.0 | 264 | 0.7243 |
 
 
 
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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: 0.5263
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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: 5e-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: 15
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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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+ | 2.2609 | 1.0 | 22 | 1.0845 |
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+ | 0.5942 | 2.0 | 44 | 0.8048 |
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+ | 0.2471 | 3.0 | 66 | 0.5481 |
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+ | 0.108 | 4.0 | 88 | 0.5052 |
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+ | 0.0665 | 5.0 | 110 | 0.5149 |
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+ | 0.0612 | 6.0 | 132 | 0.6101 |
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+ | 0.0265 | 7.0 | 154 | 0.7251 |
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+ | 0.0457 | 8.0 | 176 | 0.5007 |
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+ | 0.0108 | 9.0 | 198 | 0.4987 |
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+ | 0.0037 | 10.0 | 220 | 0.5012 |
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+ | 0.0013 | 11.0 | 242 | 0.5184 |
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+ | 0.0053 | 12.0 | 264 | 0.5087 |
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+ | 0.0002 | 13.0 | 286 | 0.5167 |
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+ | 0.0003 | 14.0 | 308 | 0.5225 |
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+ | 0.0004 | 15.0 | 330 | 0.5263 |
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  ### Framework versions
model.safetensors CHANGED
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