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  1. README.md +17 -18
  2. adapter_model.safetensors +1 -1
README.md CHANGED
@@ -1,19 +1,18 @@
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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.
@@ -39,15 +38,15 @@ The following hyperparameters were used during training:
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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
 
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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
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
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