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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: final-ft__bert-base-spanish-wwm-cased__70k-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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# final-ft__bert-base-spanish-wwm-cased__70k-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: 0.5227 |
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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: 64 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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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 | 1.0 | 276 | 0.9156 | |
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| No log | 2.0 | 552 | 0.7658 | |
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| No log | 3.0 | 828 | 0.7083 | |
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| 0.9708 | 4.0 | 1104 | 0.6710 | |
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| 0.9708 | 5.0 | 1380 | 0.6380 | |
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| 0.9708 | 6.0 | 1656 | 0.6119 | |
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| 0.9708 | 7.0 | 1932 | 0.6025 | |
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| 0.6612 | 8.0 | 2208 | 0.5752 | |
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| 0.6612 | 9.0 | 2484 | 0.5708 | |
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| 0.6612 | 10.0 | 2760 | 0.5680 | |
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| 0.6612 | 11.0 | 3036 | 0.5425 | |
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| 0.6013 | 12.0 | 3312 | 0.5635 | |
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| 0.6013 | 13.0 | 3588 | 0.5386 | |
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| 0.6013 | 14.0 | 3864 | 0.5476 | |
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| 0.6013 | 15.0 | 4140 | 0.5458 | |
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| 0.5675 | 16.0 | 4416 | 0.5345 | |
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| 0.5675 | 17.0 | 4692 | 0.5350 | |
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| 0.5675 | 18.0 | 4968 | 0.5280 | |
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| 0.5675 | 19.0 | 5244 | 0.5260 | |
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| 0.5549 | 20.0 | 5520 | 0.5227 | |
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### Framework versions |
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- Transformers 4.40.1 |
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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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