Model save
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- adapter_model.safetensors +1 -1
README.md
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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/
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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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- train_batch_size: 32
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- eval_batch_size: 64
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- seed: 42
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- optimizer:
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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.
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- Transformers 4.
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- Pytorch 2.6.0+
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- Datasets
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- Tokenizers 0.
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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-colab/runs/gpqdym5p)
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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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- train_batch_size: 32
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- eval_batch_size: 64
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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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 0.15.2
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- Transformers 4.51.3
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- Pytorch 2.6.0+cu124
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- Datasets 3.6.0
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- Tokenizers 0.21.1
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adapter_model.safetensors
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