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End of training

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  1. README.md +6 -15
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  ---
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  base_model: google/gemma-3-1b-it
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  library_name: transformers
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- model_name: gemma-finetune
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  tags:
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  - generated_from_trainer
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  - trl
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  - sft
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  licence: license
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- license: mit
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- datasets:
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- - inclinedadarsh/nl-to-regex
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- language:
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- - en
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  ---
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  # Model Card for gemma-3-1b-nl-to-regex
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  This model is a fine-tuned version of [google/gemma-3-1b-it](https://huggingface.co/google/gemma-3-1b-it).
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- It has been trained using [TRL](https://github.com/huggingface/trl). It is trained on [inclinedadarsh/nl-to-regex](https://huggingface.co/datasets/inclinedadarsh/nl-to-regex) dataset.
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-
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- ## Training notebook
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-
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- You can find the notebook that was used to train this model at https://www.kaggle.com/code/inclinedadarsh/gemma-finetune-nl-to-regex
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  ## Quick start
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  ## Training procedure
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- [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/inclinedadarsh-kk-wagh-institute/gemma-3-finetune/runs/tq8hdfxm)
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  This model was trained with SFT.
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  ### Framework versions
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- - TRL: 0.16.0
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- - Transformers: 4.50.0.dev0
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  - Pytorch: 2.5.1+cu121
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- - Datasets: 3.4.1
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  - Tokenizers: 0.21.0
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  ## Citations
 
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  ---
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  base_model: google/gemma-3-1b-it
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  library_name: transformers
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+ model_name: gemma-3-1b-nl-to-regex
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  tags:
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  - generated_from_trainer
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  - trl
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  - sft
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  licence: license
 
 
 
 
 
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  ---
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  # Model Card for gemma-3-1b-nl-to-regex
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  This model is a fine-tuned version of [google/gemma-3-1b-it](https://huggingface.co/google/gemma-3-1b-it).
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+ It has been trained using [TRL](https://github.com/huggingface/trl).
 
 
 
 
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  ## Quick start
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  ## Training procedure
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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/inclinedadarsh-kk-wagh-institute/gemma-3-finetune/runs/ihnwcvw1)
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  This model was trained with SFT.
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  ### Framework versions
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+ - TRL: 0.16.1
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+ - Transformers: 4.50.3
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  - Pytorch: 2.5.1+cu121
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+ - Datasets: 3.5.0
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  - Tokenizers: 0.21.0
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  ## Citations