whisper-base-atco2-asr
This model is a fine-tuned version of openai/whisper-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9060
- Wer: 49.2883
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: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 100
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.9897 | 12.5 | 50 | 0.8748 | 70.4626 |
| 0.0447 | 25.0 | 100 | 0.8519 | 52.0463 |
| 0.0087 | 37.5 | 150 | 0.8772 | 39.2794 |
| 0.0043 | 50.0 | 200 | 0.8891 | 39.3683 |
| 0.0034 | 62.5 | 250 | 0.8976 | 49.4217 |
| 0.0027 | 75.0 | 300 | 0.9022 | 49.1548 |
| 0.0024 | 87.5 | 350 | 0.9050 | 49.2438 |
| 0.0023 | 100.0 | 400 | 0.9060 | 49.2883 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.15.0
- Tokenizers 0.15.0