Whisper Small Finetuned Iwslt Irish Transfer Welsh No Frozen Decoder
This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set: Loss: 6.7416 Wer: 105.8005 Bleu: 0.6736 Chrf++: 12.5667 Comet: 0.4173
Modellquelle
- Art
- Text model
- Dateigröße
- 922 MB
- Basismodell
- openai/whisper-small
- Version
- vmodel
- Aktualisiert
- 26. Sept. 2026
- Downloads
- 8
- Quelle
- Hugging Face
Quellenbeschreibung
whisper-small-finetuned-iwslt-irish-transfer-welsh-no-frozen-decoder
This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 6.7416
- Wer: 105.8005
- Bleu: 0.6736
- Chrf++: 12.5667
- Comet: 0.4173
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- training_steps: 5000
- mixed_precision_training: Native AMP
- label_smoothing_factor: 0.1
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Bleu | Chrf++ | Comet |
|---|---|---|---|---|---|---|---|
| 1.887 | 2.6709 | 1250 | 5.9918 | 111.1673 | 0.9638 | 13.3780 | 0.4054 |
| 1.5006 | 5.3419 | 2500 | 6.3732 | 103.9031 | 0.7768 | 12.2773 | 0.4111 |
| 1.4611 | 8.0128 | 3750 | 6.4941 | 103.6050 | 0.7533 | 12.2820 | 0.4108 |
| 1.423 | 10.6838 | 5000 | 6.7416 | 105.8005 | 0.6736 | 12.5667 | 0.4173 |
Framework versions
- Transformers 4.52.0
- Pytorch 2.12.1+cu130
- Datasets 2.21.0
- Tokenizers 0.21.4
Quellen
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Quellen
1 QuelleVerifiziert 6. Sept.
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Modellartefakte
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Modellartefakte
2 Artefaktelast-checkpoint/model.safetensors
safetensors · 922 MB · SHA-256 2713065b10b0…2ceb · Hugging Face
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Quellenauszüge
2 Auszüge--- library_name: transformers license: apache-2.0 base_model: openai/whisper-small tags: - generated_from_trainer metrics: - wer - bleu model-index: - name: whisper-small-finetuned-iwslt-irish-transfer-welsh-no-frozen-decoder results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # whisper-small-finetuned-iwslt-irish-transfer-welsh-no-frozen-decoder This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset. It achieves the following results on the evaluation set: - Loss: 6.7416 - Wer: 105.8005 - Bleu: 0.6736 - Chrf++: 12.5667 - Comet: 0.4173 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 5e-05 - train_batch_size: 16 - eval_batch_size: 8 - seed: 42 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 1000 - training_steps: 5000 - mixed_precision_training: Native AMP - label_smoothing_factor: 0.1 ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | Bleu | Chrf++ | Comet | |:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|:-------:|:------:| | 1.887 | 2.6709 | 1250 | 5.9918 | 111.1673 | 0.9638 | 13.3780 | 0.4054 | | 1.5006 | 5.3419 | 2500 | 6.3732 | 103.9031 | 0.7768 | 12.2773 | 0.4111 | | 1.4611 | 8.0128 | 3750 | 6.4941 | 103.6050 | 0.7533 | 12.2820 | 0.4108 | | 1.423 | 10.6838 | 5000 | 6.7416 | 105.8005 | 0.6736 | 12.5667 | 0.4173 | ### Framework versions - Transformers 4.52.0 - Pytorch 2.12.1+cu130 - Datasets 2.21.0 - Tokenizers 0.21.4
Source context: 8 downloads · 0 likes · Pipeline automatic-speech-recognition · Library transformers · Repo jjnhuang/whisper-small-finetuned-iwslt-irish-transfer-welsh-no-frozen-decoder
