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@@ -11,6 +11,8 @@ metrics:
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  model-index:
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  - name: Whisper LARGE PT 425
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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
@@ -18,22 +20,13 @@ should probably proofread and complete it, then remove this comment. -->
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  # Whisper LARGE PT 425
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- This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the 425 dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.1162
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  - Wer: 3.9720
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- ## Model description
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- More information needed
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-
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- ## Intended uses & limitations
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-
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- More information needed
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-
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- ## Training and evaluation data
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-
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- More information needed
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  ## Training procedure
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@@ -64,4 +57,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.48.2
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  - Pytorch 2.6.0+cu124
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  - Datasets 3.2.0
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- - Tokenizers 0.21.0
 
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  model-index:
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  - name: Whisper LARGE PT 425
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  results: []
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+ datasets:
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+ - inesc-id/camoes_asr
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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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  # Whisper LARGE PT 425
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+ This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on 425h of European Portuguese data.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.1162
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  - Wer: 3.9720
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+ For additional information regarding this model please refer to the [paper](https://arxiv.org/abs/2508.19721).
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  ## Training procedure
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  - Transformers 4.48.2
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  - Pytorch 2.6.0+cu124
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  - Datasets 3.2.0
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+ - Tokenizers 0.21.0