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---
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library_name: peft
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license: apache-2.0
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base_model: t5-small
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tags:
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- generated_from_trainer
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model-index:
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- name: t5-small-mathml-python-v1
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/kj821-imperial-college-london/mathml-python/runs/bkznynip) |
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/kj821-imperial-college-london/mathml-python/runs/bkznynip) |
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# t5-small-mathml-python-v1 |
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset. |
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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: 0.0001 |
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- train_batch_size: 32 |
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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: 3 |
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- mixed_precision_training: Native AMP |
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### Framework versions |
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- PEFT 0.15.1 |
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- Transformers 4.45.2 |
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- Pytorch 2.6.0+cu126 |
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- Datasets 2.19.1 |
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- Tokenizers 0.20.1 |
