Whisper Small Finetuned Iwslt Irish Transfer Welsh 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: 3.5157 Wer: 95.2566 Bleu: 8.6311 Chrf++: 28.9864 Comet: 0.5371
Fonte do modelo
- Tipo
- Text model
- Tamanho do arquivo
- 922 MB
- Modelo base
- openai/whisper-small
- Versão
- vmodel
- Atualizado
- 3 de out. de 2026
- Downloads
- 1
- Fonte
- Hugging Face
Descrição da fonte
whisper-small-finetuned-iwslt-irish-transfer-welsh-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: 3.5157
- Wer: 95.2566
- Bleu: 8.6311
- Chrf++: 28.9864
- Comet: 0.5371
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 |
|---|---|---|---|---|---|---|---|
| 3.3397 | 0.4264 | 2500 | 3.5318 | 106.3878 | 5.8424 | 23.6528 | 0.4968 |
| 2.5971 | 0.8528 | 5000 | 3.4333 | 105.3939 | 6.4818 | 25.8206 | 0.5089 |
| 2.3176 | 1.2792 | 7500 | 3.4041 | 99.2411 | 8.2264 | 28.0766 | 0.5317 |
| 2.1728 | 1.7056 | 10000 | 3.4221 | 94.1724 | 8.2101 | 27.7234 | 0.5297 |
| 2.0561 | 2.1320 | 12500 | 3.5006 | 93.9827 | 8.6366 | 29.1896 | 0.5328 |
| 1.9125 | 2.5584 | 15000 | 3.5157 | 95.2566 | 8.6311 | 28.9864 | 0.5371 |
Framework versions
- Transformers 4.52.0
- Pytorch 2.12.1+cu130
- Datasets 2.21.0
- Tokenizers 0.21.4
Fontes
1 fonte
Fontes
1 fonteVerificado 3 de out.
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Artefatos de modelo
2 artefatos
Artefatos de modelo
2 artefatoslast-checkpoint/model.safetensors
safetensors · 922 MB · SHA-256 555163b71b13…032f · Hugging Face
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Trechos de fonte
3 trechos--- 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-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-transfer-welsh-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: 3.5157 - Wer: 95.2566 - Bleu: 8.6311 - Chrf++: 28.9864 - Comet: 0.5371 ## 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 | |:-------------:|:------:|:-----:|:---------------:|:--------:|:------:|:-------:|:------:| | 3.3397 | 0.4264 | 2500 | 3.5318 | 106.3878 | 5.8424 | 23.6528 | 0.4968 | | 2.5971 | 0.8528 | 5000 | 3.4333 | 105.3939 | 6.4818 | 25.8206 | 0.5089 | | 2.3176 | 1.2792 | 7500 | 3.4041 | 99.2411 | 8.2264 | 28.0766 | 0.5317 | | 2.1728 | 1.7056 | 10000 | 3.4221 | 94.1724 | 8.2101 | 27.7234 | 0.5297 | | 2.0561 | 2.1320 | 12500 | 3.5006 | 93.9827 | 8.6366 | 29.1896 | 0.5328 | | 1.9125 | 2.5584 | 15000 | 3.5157 | 95.2566 | 8.6311 | 28.9864 | 0.5371 | ### Framework versions - Transformers 4.52.0 - Pytorch 2.12.1+cu130 - Datasets 2.21.0 - Tokenizers 0.21.4
Source context: 1 downloads · 0 likes · Pipeline automatic-speech-recognition · Library transformers · Repo jjnhuang/whisper-small-finetuned-iwslt-irish-transfer-welsh-synthetic
Source context: 143 downloads · 0 likes · Pipeline automatic-speech-recognition · Library transformers · Repo jjnhuang/whisper-small-finetuned-iwslt-irish-transfer-welsh-synthetic
