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Text Classification
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bert
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text-embeddings-inference
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JFernandoGRE/bert_spanish_judgenames

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  1. README.md +5 -6
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-uncased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0562
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  - Accuracy: 0.9911
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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: 2e-05
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 12345
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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: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 66 | 0.0475 | 0.9911 |
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- | No log | 2.0 | 132 | 0.0544 | 0.9911 |
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- | No log | 3.0 | 198 | 0.0562 | 0.9911 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-uncased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0529
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  - Accuracy: 0.9911
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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: 12345
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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: 2
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 66 | 0.0802 | 0.9867 |
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+ | No log | 2.0 | 132 | 0.0529 | 0.9911 |
 
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  ### Framework versions
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