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--- |
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base_model: dccuchile/bert-base-spanish-wwm-cased |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: finetuned__bert-base-spanish-wwm-cased__augmented-ultrasounds |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# finetuned__bert-base-spanish-wwm-cased__augmented-ultrasounds |
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This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5757 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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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: 128 |
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- eval_batch_size: 128 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 256 |
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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: 20 |
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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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| No log | 0.9979 | 238 | 1.0145 | |
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| 1.2754 | 2.0 | 477 | 0.8811 | |
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| 1.2754 | 2.9979 | 715 | 0.7855 | |
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| 0.8342 | 4.0 | 954 | 0.7440 | |
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| 0.8342 | 4.9979 | 1192 | 0.7016 | |
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| 0.7436 | 6.0 | 1431 | 0.6743 | |
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| 0.7436 | 6.9979 | 1669 | 0.6591 | |
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| 0.6965 | 8.0 | 1908 | 0.6459 | |
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| 0.6965 | 8.9979 | 2146 | 0.6354 | |
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| 0.6619 | 10.0 | 2385 | 0.6243 | |
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| 0.6619 | 10.9979 | 2623 | 0.6177 | |
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| 0.6386 | 12.0 | 2862 | 0.6086 | |
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| 0.6386 | 12.9979 | 3100 | 0.6027 | |
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| 0.623 | 14.0 | 3339 | 0.5828 | |
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| 0.623 | 14.9979 | 3577 | 0.5869 | |
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| 0.6103 | 16.0 | 3816 | 0.5951 | |
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| 0.6103 | 16.9979 | 4054 | 0.5889 | |
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| 0.6032 | 18.0 | 4293 | 0.5870 | |
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| 0.6032 | 18.9979 | 4531 | 0.5818 | |
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| 0.5967 | 19.9581 | 4760 | 0.5757 | |
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### Framework versions |
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- Transformers 4.40.0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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