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libraryname: transformers license: apache-2.0 basemodel: openai/whisper-small tags: generatedfromtrainer metrics: wer bleu model-index: name: whisper-small-finetuned-iwslt-irish-transfer-welsh-synthetic results: []
Modellquelle
Quellenbeschreibung
This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:
Quellen
1 QuelleVerifiziert 17. Juli
Modellartefakte
1 ArtefaktQuellenauszüge
2 AuszügeMore information needed
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The following hyperparameters were used during training:
| 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 |
--- 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: 143 downloads · 0 likes · Pipeline automatic-speech-recognition · Library transformers · Repo jjnhuang/whisper-small-finetuned-iwslt-irish-transfer-welsh-synthetic
| 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 |
