Whisper Small Finetuned Iwslt Irish Welsh Curriculum Synthetic B
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: 3.4918 Wer: 100.2168 Bleu: 6.8330 Chrf++: 27.4191 Comet: 0.5177
Modellquelle
- Art
- Text model
- Dateigröße
- 922 MB
- Basismodell
- openai/whisper-small
- Version
- vmodel
- Aktualisiert
- 26. Okt. 2026
- Downloads
- 26
- Quelle
- Hugging Face
Quellenbeschreibung
whisper-small-finetuned-iwslt-irish-welsh-curriculum-synthetic-b
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: 3.4918
- Wer: 100.2168
- Bleu: 6.8330
- Chrf++: 27.4191
- Comet: 0.5177
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 |
|---|---|---|---|---|---|---|---|
| 2.2968 | 0.4264 | 2500 | 3.6900 | 119.2808 | 3.4280 | 20.6598 | 0.4696 |
| 2.0666 | 0.8528 | 5000 | 3.5337 | 119.8048 | 4.5093 | 23.0651 | 0.4885 |
| 2.3623 | 1.2792 | 7500 | 3.4509 | 102.3130 | 6.5378 | 26.0156 | 0.5112 |
| 2.1774 | 1.7056 | 10000 | 3.4396 | 109.8392 | 6.3905 | 26.5266 | 0.5161 |
| 2.0625 | 2.1320 | 12500 | 3.4622 | 98.0033 | 7.2093 | 27.2407 | 0.5218 |
| 2.0016 | 2.5584 | 15000 | 3.4918 | 100.2168 | 6.8330 | 27.4191 | 0.5177 |
Framework versions
- Transformers 4.52.0
- Pytorch 2.12.1+cu130
- Datasets 2.21.0
- Tokenizers 0.21.4
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2 Artefaktelast-checkpoint/model.safetensors
safetensors · 922 MB · SHA-256 e7d8b8bdff66…f79b · Hugging Face
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3 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-welsh-curriculum-synthetic-b 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-curriculum-synthetic-b 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: 3.4918 - Wer: 100.2168 - Bleu: 6.8330 - Chrf++: 27.4191 - Comet: 0.5177 ## 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 | |:-------------:|:------:|:-----:|:---------------:|:--------:|:------:|:-------:|:------:| | 2.2968 | 0.4264 | 2500 | 3.6900 | 119.2808 | 3.4280 | 20.6598 | 0.4696 | | 2.0666 | 0.8528 | 5000 | 3.5337 | 119.8048 | 4.5093 | 23.0651 | 0.4885 | | 2.3623 | 1.2792 | 7500 | 3.4509 | 102.3130 | 6.5378 | 26.0156 | 0.5112 | | 2.1774 | 1.7056 | 10000 | 3.4396 | 109.8392 | 6.3905 | 26.5266 | 0.5161 | | 2.0625 | 2.1320 | 12500 | 3.4622 | 98.0033 | 7.2093 | 27.2407 | 0.5218 | | 2.0016 | 2.5584 | 15000 | 3.4918 | 100.2168 | 6.8330 | 27.4191 | 0.5177 | ### Framework versions - Transformers 4.52.0 - Pytorch 2.12.1+cu130 - Datasets 2.21.0 - Tokenizers 0.21.4
Source context: 26 downloads · 0 likes · Pipeline automatic-speech-recognition · Library transformers · Repo jjnhuang/whisper-small-finetuned-iwslt-irish-welsh-curriculum-synthetic-b
Source context: 277 downloads · 0 likes · Pipeline automatic-speech-recognition · Library transformers · Repo jjnhuang/whisper-small-finetuned-iwslt-irish-welsh-curriculum-synthetic-b
