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Rename README.md to Glossa-BART_v2_model_card.md

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README.md → Glossa-BART_v2_model_card.md RENAMED
@@ -22,7 +22,7 @@ metrics:
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  # BART_SIGN2ENG_refinetuned
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- **`rrrr66254/BART_SIGN2ENG_refinetuned`** is a continuation of the previous fine-tuned model [`BART_SIGN2ENG_finetuned`](https://huggingface.co/rrrr66254/BART_SIGN2ENG_finetuned), further trained to improve gloss-to-English translation accuracy using early stopping, improved validation splitting, and more training epochs.
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@@ -36,7 +36,7 @@ This model takes **sign language gloss** input and outputs **natural English sen
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  - **Developed by:** Dongjun Kim
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  - **Model type:** Text2Text Generation, Gloss2Eng
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  - **Language(s) (NLP):** English
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- - **Finetuned from model:** rrrr66254/BART_SIGN2ENG_finetuned
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  ## Uses
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@@ -171,7 +171,7 @@ The following automatic evaluation metrics were used to assess output fluency, a
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  The model was evaluated on a held-out validation set using BLEU, ROUGE, and BERTScore.
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  Below is a comparison between the newly fine-tuned model and the previous version:
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- | Metric | Previous Model (`BART_SIGN2ENG_finetuned`) | This Model (`BART_SIGN2ENG_finetuned_v2`) |
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  |-------------------|---------------------------------------------|-----------------------------|
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  | **BLEU-1** | 0.7063 | 0.7258 |
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  | **BLEU-2** | 0.6175 | 0.6552 |
@@ -257,17 +257,17 @@ Model was trained using Google Colab:
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  If you use this model in your work, please cite the Hugging Face model page:
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  ```bibtex
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- @misc{rrrr66254bartrefinetuned2025,
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- title = {BART_SIGN2ENG_finetuned_v2},
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  author = {rrrr66254},
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  year = {2025},
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  publisher = {Hugging Face},
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- howpublished = {\url{https://huggingface.co/rrrr66254/BART_SIGN2ENG_finetuned_v2}}
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  }
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  ```
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  **APA:**
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- Kim, J. (2025). *BART_SIGN2ENG_refinetuned* [Computer software]. Hugging Face. https://huggingface.co/rrrr66254/BART_SIGN2ENG_refinetuned
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  ---
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  # BART_SIGN2ENG_refinetuned
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+ **`rrrr66254/Glossa-BART_v2`** is a continuation of the previous fine-tuned model [`Glossa-BART`](https://huggingface.co/rrrr66254/BART_SIGN2ENG_finetuned), further trained to improve gloss-to-English translation accuracy using early stopping, improved validation splitting, and more training epochs.
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  - **Developed by:** Dongjun Kim
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  - **Model type:** Text2Text Generation, Gloss2Eng
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  - **Language(s) (NLP):** English
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+ - **Finetuned from model:** rrrr66254/Glossa-BART
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  ## Uses
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  The model was evaluated on a held-out validation set using BLEU, ROUGE, and BERTScore.
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  Below is a comparison between the newly fine-tuned model and the previous version:
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+ | Metric | Previous Model (`Glossa-BART`) | This Model (`Glossa-BART_v2`) |
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  |-------------------|---------------------------------------------|-----------------------------|
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  | **BLEU-1** | 0.7063 | 0.7258 |
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  | **BLEU-2** | 0.6175 | 0.6552 |
 
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  If you use this model in your work, please cite the Hugging Face model page:
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  ```bibtex
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+ @misc{rrrr66254Glossa-BART_v2_22025,
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+ title = {Glossa-BART_v2},
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  author = {rrrr66254},
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  year = {2025},
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  publisher = {Hugging Face},
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+ howpublished = {\url{https://huggingface.co/rrrr66254/Glossa-BART_v2}}
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  }
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  ```
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  **APA:**
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+ Kim, J. (2025). *Glossa-BART_v2* [Computer software]. Hugging Face. https://huggingface.co/rrrr66254/Glossa-BART_v2
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  ---
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