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Whisper Small Finetuned Iwslt Irish Welsh Curriculum No Frozen Decoder

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

ArtText modelBasismodellopenai/whisper-smallVersion

Modellquelle

Art
Text model
Dateigröße
922 MB
Basismodell
openai/whisper-small
Version
vmodel
Aktualisiert
13. Sept. 2026
Downloads
0
Quelle
Hugging Face

Quellenbeschreibung

whisper-small-finetuned-iwslt-irish-welsh-curriculum-no-frozen-decoder

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 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 LossEpochStepValidation LossWerBleuChrf++Comet
1.82912.670912504.9555104.64401.096813.92310.4142
1.55865.341925005.2521105.52950.843114.08580.4130
1.48798.012837505.5397104.86990.767613.49090.4183
1.430610.683850005.7829101.31910.846313.06780.4192

Framework versions

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

Quellen

1 Quelle

Modellartefakte

2 Artefakte

last-checkpoint/model.safetensors

safetensors · 922 MB · SHA-256 71b1ae762535…b43f · Hugging Face

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model.safetensors

safetensors · 922 MB · SHA-256 71b1ae762535…b43f · Hugging Face

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Quellenauszüge

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-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: 0 downloads · 0 likes · Pipeline automatic-speech-recognition · Library transformers · Repo jjnhuang/whisper-small-finetuned-iwslt-irish-welsh-curriculum-no-frozen-decoder