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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: training_from_scratch |
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tags: |
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- generated_from_trainer |
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- trainging_from_scratch |
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datasets: |
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- Self-GRIT/wikitext-2-raw-v1-preprocessed |
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metrics: |
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- accuracy |
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model-index: |
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- name: Capybara |
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results: |
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- task: |
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name: Causal Language Modeling |
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type: text-generation |
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dataset: |
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name: Self-GRIT/wikitext-2-raw-v1-preprocessed |
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type: Self-GRIT/wikitext-2-raw-v1-preprocessed |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.21399413489736072 |
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--- |
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# Capybara |
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This model is training from scratch on the Self-GRIT/wikitext-2-raw-v1-preprocessed dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 5.9824 |
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- Accuracy: 0.2140 |
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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: 5e-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: 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: 3.0 |
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### Training results |
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### Framework versions |
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- Transformers 4.45.0.dev0 |
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- Pytorch 2.1.2+cu118 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
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