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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

ArtText modelBasismodellopenai/whisper-smallVersionBBewertung

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 LossEpochStepValidation LossWerBleuChrf++Comet
2.29680.426425003.6900119.28083.428020.65980.4696
2.06660.852850003.5337119.80484.509323.06510.4885
2.36231.279275003.4509102.31306.537826.01560.5112
2.17741.7056100003.4396109.83926.390526.52660.5161
2.06252.1320125003.462298.00337.209327.24070.5218
2.00162.5584150003.4918100.21686.833027.41910.5177

Framework versions

  • Transformers 4.52.0
  • Pytorch 2.12.1+cu130
  • Datasets 2.21.0
  • Tokenizers 0.21.4

Quellen

1 Quelle

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Modellartefakte

2 Artefakte

last-checkpoint/model.safetensors

safetensors · 922 MB · SHA-256 e7d8b8bdff66…f79b · Hugging Face

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model.safetensors

safetensors · 922 MB · SHA-256 e7d8b8bdff66…f79b · Hugging Face

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Quellenauszüge

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