whisper-tiny-atco2-asr
This model is a fine-tuned version of openai/whisper-tiny on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0505
- Wer: 112.9893
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 |
|---|---|---|---|---|
| 1.8611 | 12.5 | 50 | 1.5491 | 100.1779 |
| 0.5484 | 25.0 | 100 | 1.1962 | 91.5036 |
| 0.1272 | 37.5 | 150 | 1.0106 | 158.7189 |
| 0.0125 | 50.0 | 200 | 1.0290 | 124.3327 |
| 0.0074 | 62.5 | 250 | 1.0401 | 116.7705 |
| 0.005 | 75.0 | 300 | 1.0461 | 118.6833 |
| 0.0044 | 87.5 | 350 | 1.0493 | 113.0783 |
| 0.004 | 100.0 | 400 | 1.0505 | 112.9893 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.15.0
- Tokenizers 0.15.0
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Base model
openai/whisper-tiny