Whisper Small Finetuned Iwslt Irish Welsh 50 50 Synthetic
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: 3.3705 Wer: 95.9162 Bleu: 8.7162 Chrf++: 29.5222 Comet: 0.5384
Source du modèle
- Type
- Text model
- Taille du fichier
- 922 MB
- Modèle de base
- openai/whisper-small
- Version
- vmodel
- Mis à jour
- 27 sept. 2026
- Téléchargements
- 11
- Source
- Hugging Face
Description de la source
whisper-small-finetuned-iwslt-irish-welsh-50-50-synthetic
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: 3.3705
- Wer: 95.9162
- Bleu: 8.7162
- Chrf++: 29.5222
- Comet: 0.5384
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: 15000
- mixed_precision_training: Native AMP
- label_smoothing_factor: 0.1
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Bleu | Chrf++ | Comet |
|---|---|---|---|---|---|---|---|
| 2.9847 | 0.2132 | 2500 | 3.6076 | 111.2215 | 3.9335 | 21.7113 | 0.4847 |
| 2.3154 | 0.4264 | 5000 | 3.4639 | 99.7199 | 6.3091 | 25.9006 | 0.5034 |
| 2.1807 | 0.6396 | 7500 | 3.3756 | 103.3701 | 7.1207 | 26.9444 | 0.5208 |
| 2.0977 | 0.8528 | 10000 | 3.3650 | 91.2089 | 9.0337 | 28.8094 | 0.5329 |
| 1.9992 | 1.0660 | 12500 | 3.3632 | 95.9342 | 8.6023 | 29.5014 | 0.5384 |
| 1.9005 | 1.2792 | 15000 | 3.3705 | 95.9162 | 8.7162 | 29.5222 | 0.5384 |
Framework versions
- Transformers 4.52.0
- Pytorch 2.12.1+cu130
- Datasets 2.21.0
- Tokenizers 0.21.4
Sources
1 source
Sources
1 sourceVérifié 30 août
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Artefacts du modèle
2 artefacts
Artefacts du modèle
2 artefactslast-checkpoint/model.safetensors
safetensors · 922 MB · SHA-256 58f136e76a65…d35e · Hugging Face
Download fileExtraits de sources
2 extraits
Extraits de sources
2 extraits--- 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-welsh-50-50-synthetic 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-welsh-50-50-synthetic 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: 3.3705 - Wer: 95.9162 - Bleu: 8.7162 - Chrf++: 29.5222 - Comet: 0.5384 ## 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: 15000 - mixed_precision_training: Native AMP - label_smoothing_factor: 0.1 ### Training results | Training Loss | Epoch | Step | Validation Loss | Wer | Bleu | Chrf++ | Comet | |:-------------:|:------:|:-----:|:---------------:|:--------:|:------:|:-------:|:------:| | 2.9847 | 0.2132 | 2500 | 3.6076 | 111.2215 | 3.9335 | 21.7113 | 0.4847 | | 2.3154 | 0.4264 | 5000 | 3.4639 | 99.7199 | 6.3091 | 25.9006 | 0.5034 | | 2.1807 | 0.6396 | 7500 | 3.3756 | 103.3701 | 7.1207 | 26.9444 | 0.5208 | | 2.0977 | 0.8528 | 10000 | 3.3650 | 91.2089 | 9.0337 | 28.8094 | 0.5329 | | 1.9992 | 1.0660 | 12500 | 3.3632 | 95.9342 | 8.6023 | 29.5014 | 0.5384 | | 1.9005 | 1.2792 | 15000 | 3.3705 | 95.9162 | 8.7162 | 29.5222 | 0.5384 | ### Framework versions - Transformers 4.52.0 - Pytorch 2.12.1+cu130 - Datasets 2.21.0 - Tokenizers 0.21.4
Source context: 11 downloads · 0 likes · Pipeline automatic-speech-recognition · Library transformers · Repo jjnhuang/whisper-small-finetuned-iwslt-irish-welsh-50-50-synthetic
