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--- |
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license: cc-by-4.0 |
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base_model: bertin-project/bertin-roberta-base-spanish |
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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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model-index: |
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- name: my-model-Bertin-Area |
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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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# my-model-Bertin-Area |
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This model is a fine-tuned version of [bertin-project/bertin-roberta-base-spanish](https://huggingface.co/bertin-project/bertin-roberta-base-spanish) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5347 |
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- Accuracy: 0.3885 |
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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: 100 |
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- eval_batch_size: 100 |
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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: 10 |
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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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| 1.8826 | 1.0 | 7 | 1.7742 | 0.2590 | |
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| 1.6982 | 2.0 | 14 | 1.7521 | 0.2806 | |
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| 1.6317 | 3.0 | 21 | 1.6768 | 0.3022 | |
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| 1.5322 | 4.0 | 28 | 1.6329 | 0.3597 | |
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| 1.3803 | 5.0 | 35 | 1.6064 | 0.3597 | |
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| 1.2126 | 6.0 | 42 | 1.5785 | 0.3813 | |
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| 1.072 | 7.0 | 49 | 1.5532 | 0.3885 | |
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| 0.9604 | 8.0 | 56 | 1.5330 | 0.3885 | |
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| 0.876 | 9.0 | 63 | 1.5345 | 0.3957 | |
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| 0.8119 | 10.0 | 70 | 1.5347 | 0.3885 | |
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### Framework versions |
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- Transformers 4.41.0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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