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Whisper Large V2 Farsipal and El Greco
This model is a fine-tuned version of emilios/whisper-lg-v2-parsifal-el-0 on the mozilla-foundation/common_voice_11_0 el dataset. It achieves the following results on the evaluation set:
- Loss: 0.2866
- Wer: 9.1103
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: 3e-06
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0281 | 9.35 | 1000 | 0.2515 | 9.5561 |
| 0.0131 | 18.69 | 2000 | 0.2866 | 9.1103 |
| 0.0069 | 28.04 | 3000 | 0.3118 | 9.2403 |
| 0.004 | 37.38 | 4000 | 0.3279 | 9.3796 |
| 0.0025 | 46.73 | 5000 | 0.3464 | 9.3146 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 2.0.0.dev20221216+cu116
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2
