Whisper Large SEIN - COES SEIN
This model is a fine-tuned version of openai/whisper-large on the SEIN COES dataset. It achieves the following results on the evaluation set:
- Loss: 0.0000
- Wer: 41.3688
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: 1e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0001 | 153.85 | 1000 | 0.0001 | 53.5687 |
| 0.0001 | 307.69 | 2000 | 0.0001 | 39.7393 |
| 0.0 | 461.54 | 3000 | 0.0000 | 42.4443 |
| 0.0 | 615.38 | 4000 | 0.0000 | 41.3688 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0
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openai/whisper-large