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777777ttt
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: 0.0878
- Wer: 63.7555
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 3000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0819 | 0.18 | 500 | 0.1705 | 19.6356 |
| 0.0542 | 0.36 | 1000 | 0.1529 | 18.8827 |
| 0.0517 | 0.54 | 1500 | 0.1311 | 24.8457 |
| 0.0757 | 0.72 | 2000 | 0.1091 | 80.5602 |
| 0.0687 | 0.9 | 2500 | 0.0941 | 65.5323 |
| 0.0089 | 1.08 | 3000 | 0.0878 | 63.7555 |
Framework versions
- Transformers 4.31.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
