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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: 5.7829 Wer: 101.3191 Bleu: 0.8463 Chrf++: 13.0678 Comet: 0.4192
Model source
Source description
This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:
Sources
1 sourceVerified Sep 13
Model artifacts
2 artifactsSource excerpts
2 excerptsMore information needed
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The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Wer | Bleu | Chrf++ | Comet |
|---|---|---|---|---|---|---|---|
| 1.8291 | 2.6709 | 1250 | 4.9555 | 104.6440 | 1.0968 | 13.9231 | 0.4142 |
| 1.5586 | 5.3419 | 2500 | 5.2521 | 105.5295 | 0.8431 | 14.0858 | 0.4130 |
| 1.4879 | 8.0128 | 3750 | 5.5397 | 104.8699 | 0.7676 | 13.4909 | 0.4183 |
| 1.4306 |
--- 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-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-welsh-curriculum-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: 5.7829 - Wer: 101.3191 - Bleu: 0.8463 - Chrf++: 13.0678 - Comet: 0.4192 ## 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 | |:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|:-------:|:------:| | 1.8291 | 2.6709 | 1250 | 4.9555 | 104.6440 | 1.0968 | 13.9231 | 0.4142 | | 1.5586 | 5.3419 | 2500 | 5.2521 | 105.5295 | 0.8431 | 14.0858 | 0.4130 | | 1.4879 | 8.0128 | 3750 | 5.5397 | 104.8699 | 0.7676 | 13.4909 | 0.4183 | | 1.4306 | 10.6838 | 5000 | 5.7829 | 101.3191 | 0.8463 | 13.0678 | 0.4192 | ### Framework versions - Transformers 4.52.0 - Pytorch 2.12.1+cu130 - Datasets 2.21.0 - Tokenizers 0.21.4
Source context: 3 downloads · 0 likes · Pipeline automatic-speech-recognition · Library transformers · Repo jjnhuang/whisper-small-finetuned-iwslt-irish-welsh-50-50-no-frozen-decoder
| 10.6838 |
| 5000 |
| 5.7829 |
| 101.3191 |
| 0.8463 |
| 13.0678 |
| 0.4192 |
