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--- |
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license: mit |
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base_model: DeepESP/gpt2-spanish |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Julio-Cortazar |
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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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# Julio-Cortazar |
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This model is a fine-tuned version of [DeepESP/gpt2-spanish](https://huggingface.co/DeepESP/gpt2-spanish) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.4635 |
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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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- 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: 12 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.625 | 1.0 | 177 | 2.5849 | |
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| 2.5334 | 2.0 | 354 | 2.5254 | |
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| 2.4463 | 3.0 | 531 | 2.4991 | |
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| 2.2868 | 4.0 | 708 | 2.4825 | |
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| 2.198 | 5.0 | 885 | 2.4753 | |
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| 2.1981 | 6.0 | 1062 | 2.4707 | |
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| 2.096 | 7.0 | 1239 | 2.4655 | |
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| 1.9984 | 8.0 | 1416 | 2.4642 | |
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| 1.9602 | 9.0 | 1593 | 2.4631 | |
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| 2.0752 | 10.0 | 1770 | 2.4636 | |
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| 2.0311 | 11.0 | 1947 | 2.4635 | |
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| 2.0731 | 12.0 | 2124 | 2.4635 | |
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### Framework versions |
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- Transformers 4.33.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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