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Whisper Large V3 Thai Lora - Magi Boss
This model is a fine-tuned version of openai/whisper-large-v3 on the Common Voice 11.0 dataset (Training Set 20000 row, Validation Set 500 row). It achieves the following results on the evaluation set:
- Loss: 0.1894
- WER: 0.8101
- TER: 81.0089
- ChrF: 87.4811
- CER: 0.1041
- BLEU: 8.7391
- SubER: 0.8189
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 25
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer | Ter | Chrf | Cer | Bleu | SubER |
---|---|---|---|---|---|---|---|---|---|
0.3053 | 0.32 | 50 | 0.2052 | 0.8457 | 84.5697 | 86.6971 | 0.1115 | 7.8703 | 0.8640 |
0.3752 | 0.64 | 100 | 0.1937 | 0.8323 | 83.2344 | 86.9801 | 0.1087 | 8.1510 | 0.8469 |
0.2794 | 0.96 | 150 | 0.1894 | 0.8101 | 81.0089 | 87.4811 | 0.1041 | 8.7391 | 0.8189 |
Framework versions
- PEFT 0.12.1.dev0
- Transformers 4.45.0.dev0
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for MagiBoss/Whisper-Large-V3-Thai-Lora
Base model
openai/whisper-large-v3
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Dataset used to train MagiBoss/Whisper-Large-V3-Thai-Lora
Evaluation results
- Wer on Common Voice 11.0self-reported0.810
- Ter on Common Voice 11.0self-reported81.009
- ChrF on Common Voice 11.0self-reported87.481
- CER on Common Voice 11.0self-reported0.104
- Bleu on Common Voice 11.0self-reported8.739
- SubER on Common Voice 11.0self-reported0.819