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--- |
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license: mit |
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base_model: gpt2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Wikibot-3000 |
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results: [] |
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datasets: |
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- mapama247/wikihow_es |
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language: |
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- es |
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pipeline_tag: text-generation |
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widget: |
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- text: "Hola. ¿Cómo estás?" |
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- text: "¿Cómo cocinar?" |
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- text: "¿Cómo hornear un pastel?" |
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- text: "¿Cómo hacer una investigación?" |
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- text: "Método 1:" |
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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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# Wikibot-3000 |
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the [mapama247/wikihow_es](https://huggingface.co/datasets/mapama247/wikihow_es) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.4600 |
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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: 16 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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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: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 3.1557 | 1.0 | 2975 | 2.8779 | |
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| 2.6515 | 2.0 | 5950 | 2.5434 | |
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| 2.5112 | 3.0 | 8925 | 2.4600 | |
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### Framework versions |
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- Transformers 4.33.2 |
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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 |
