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--- |
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library_name: transformers |
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base_model: bigbio/bigbio-mtl |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- f1 |
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model-index: |
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- name: segment-classifier-spanish |
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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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# segment-classifier-spanish |
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This model is a fine-tuned version of [bigbio/bigbio-mtl](https://huggingface.co/bigbio/bigbio-mtl) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7416 |
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- Accuracy: 0.8265 |
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- F1: 0.8258 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| 0.8505 | 1.0 | 660 | 0.7818 | 0.7611 | 0.7489 | |
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| 0.5793 | 2.0 | 1320 | 0.6976 | 0.7858 | 0.7714 | |
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| 0.4468 | 3.0 | 1980 | 0.6740 | 0.8142 | 0.8167 | |
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| 0.3525 | 4.0 | 2640 | 0.7416 | 0.8265 | 0.8258 | |
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### Framework versions |
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- Transformers 4.50.3 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.5.0 |
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- Tokenizers 0.21.1 |
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