Whisper Small Finetuned Iwslt Irish Welsh Curriculum 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: 3.4795 Wer: 93.8291 Bleu: 7.4317 Chrf++: 27.4259 Comet: 0.5182
Modellquelle
- Art
- Text model
- Dateigröße
- 922 MB
- Basismodell
- openai/whisper-small
- Version
- vmodel
- Aktualisiert
- 27. Sept. 2026
- Downloads
- 4
- Quelle
- Hugging Face
Quellenbeschreibung
whisper-small-finetuned-iwslt-irish-welsh-curriculum-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: 3.4795
- Wer: 93.8291
- Bleu: 7.4317
- Chrf++: 27.4259
- Comet: 0.5182
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 |
|---|---|---|---|---|---|---|---|
| 2.2972 | 0.4264 | 2500 | 3.6835 | 140.0885 | 2.8386 | 20.0115 | 0.4674 |
| 2.0671 | 0.8528 | 5000 | 3.5530 | 127.0058 | 4.0401 | 22.7134 | 0.4854 |
| 2.2536 | 1.2792 | 7500 | 3.4554 | 110.1735 | 5.9475 | 25.9164 | 0.5103 |
| 2.0954 | 1.7056 | 10000 | 3.4357 | 99.0965 | 7.4245 | 26.9493 | 0.5168 |
| 2.0935 | 2.1320 | 12500 | 3.4540 | 97.4250 | 6.9609 | 26.8370 | 0.5199 |
| 2.0305 | 2.5584 | 15000 | 3.4795 | 93.8291 | 7.4317 | 27.4259 | 0.5182 |
Framework versions
- Transformers 4.52.0
- Pytorch 2.12.1+cu130
- Datasets 2.21.0
- Tokenizers 0.21.4
Quellen
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1 QuelleVerifiziert 30. Aug.
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2 Artefaktelast-checkpoint/model.safetensors
safetensors · 922 MB · SHA-256 827078413fac…78f0 · Hugging Face
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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-welsh-curriculum-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-curriculum-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: 3.4795 - Wer: 93.8291 - Bleu: 7.4317 - Chrf++: 27.4259 - Comet: 0.5182 ## 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 | |:-------------:|:------:|:-----:|:---------------:|:--------:|:------:|:-------:|:------:| | 2.2972 | 0.4264 | 2500 | 3.6835 | 140.0885 | 2.8386 | 20.0115 | 0.4674 | | 2.0671 | 0.8528 | 5000 | 3.5530 | 127.0058 | 4.0401 | 22.7134 | 0.4854 | | 2.2536 | 1.2792 | 7500 | 3.4554 | 110.1735 | 5.9475 | 25.9164 | 0.5103 | | 2.0954 | 1.7056 | 10000 | 3.4357 | 99.0965 | 7.4245 | 26.9493 | 0.5168 | | 2.0935 | 2.1320 | 12500 | 3.4540 | 97.4250 | 6.9609 | 26.8370 | 0.5199 | | 2.0305 | 2.5584 | 15000 | 3.4795 | 93.8291 | 7.4317 | 27.4259 | 0.5182 | ### Framework versions - Transformers 4.52.0 - Pytorch 2.12.1+cu130 - Datasets 2.21.0 - Tokenizers 0.21.4
Source context: 4 downloads · 0 likes · Pipeline automatic-speech-recognition · Library transformers · Repo jjnhuang/whisper-small-finetuned-iwslt-irish-welsh-curriculum-synthetic
