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temp2
This model is a fine-tuned version of hts98/whisper-medium-1113 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2826
- Wer: 100.0
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: 12
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 30
- training_steps: 200
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1889 | 1.9 | 40 | 0.2826 | 100.0 |
| 0.0319 | 3.81 | 80 | 0.3053 | 100.0 |
| 0.0171 | 5.71 | 120 | 0.3166 | 100.0 |
| 0.0067 | 7.62 | 160 | 0.3201 | 100.0 |
| 0.0021 | 9.52 | 200 | 0.3212 | 100.0 |
Framework versions
- Transformers 4.29.0.dev0
- Pytorch 2.0.0+cu117
- Datasets 2.7.0
- Tokenizers 0.13.3
