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Whisper Small Finetuned Iwslt Irish 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: 3.4815 Wer: 94.9404 Bleu: 9.1198 Chrf++: 29.5535 Comet: 0.5382

TypeText modelModèle de baseopenai/whisper-smallVersionBClasse

Source du modèle

Type
Text model
Taille du fichier
922 MB
Modèle de base
openai/whisper-small
Version
vmodel
Mis à jour
20 oct. 2026
Téléchargements
32
Source
Hugging Face

Description de la source

whisper-small-finetuned-iwslt-irish-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: 3.4815
  • Wer: 94.9404
  • Bleu: 9.1198
  • Chrf++: 29.5535
  • Comet: 0.5382

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
3.29810.426425003.5015109.16155.073623.53160.4935
2.59270.852850003.4141118.13345.967726.77230.5084
2.32021.279275003.3988100.25307.745228.19240.5260
2.17791.7056100003.4073100.18978.205828.86030.5372
2.06242.1320125003.457490.28739.371829.46200.5372
1.9222.5584150003.481594.94049.119829.55350.5382

Framework versions

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

Sources

1 source
Hugging FacePrincipalVersion deb000a29da4bf94c5c921ef15b31b4321a90953
huggingface.co/jjnhuang/whisper-small-finetuned-iwslt-irish-synthetic/tree/deb000a29da4bf94c5c921ef15b31b4321a90953

Vérifié 30 août

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Artefacts du modèle

2 artefacts

last-checkpoint/model.safetensors

safetensors · 922 MB · SHA-256 0f7c2b6915d8…042e · Hugging Face

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model.safetensors

safetensors · 922 MB · SHA-256 0f7c2b6915d8…042e · Hugging Face

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Extraits de sources

2 extraits

--- 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-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-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: 3.4815 - Wer: 94.9404 - Bleu: 9.1198 - Chrf++: 29.5535 - Comet: 0.5382 ## 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 | |:-------------:|:------:|:-----:|:---------------:|:--------:|:------:|:-------:|:------:| | 3.2981 | 0.4264 | 2500 | 3.5015 | 109.1615 | 5.0736 | 23.5316 | 0.4935 | | 2.5927 | 0.8528 | 5000 | 3.4141 | 118.1334 | 5.9677 | 26.7723 | 0.5084 | | 2.3202 | 1.2792 | 7500 | 3.3988 | 100.2530 | 7.7452 | 28.1924 | 0.5260 | | 2.1779 | 1.7056 | 10000 | 3.4073 | 100.1897 | 8.2058 | 28.8603 | 0.5372 | | 2.0624 | 2.1320 | 12500 | 3.4574 | 90.2873 | 9.3718 | 29.4620 | 0.5372 | | 1.922 | 2.5584 | 15000 | 3.4815 | 94.9404 | 9.1198 | 29.5535 | 0.5382 | ### Framework versions - Transformers 4.52.0 - Pytorch 2.12.1+cu130 - Datasets 2.21.0 - Tokenizers 0.21.4

Source context: 32 downloads · 0 likes · Pipeline automatic-speech-recognition · Library transformers · Repo jjnhuang/whisper-small-finetuned-iwslt-irish-synthetic