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asr_temp
This model is a fine-tuned version of openai/whisper-small on the audiofolder dataset. It achieves the following results on the evaluation set:
- Loss: 8.6960
- Wer: 225.1852
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: 0.001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 8.5666 | 0.1408 | 5 | 8.6960 | 225.1852 |
Framework versions
- PEFT 0.13.2
- Transformers 4.44.2
- Pytorch 2.2.0
- Datasets 3.1.0
- Tokenizers 0.19.1
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Model tree for miosipof/asr_temp
Base model
openai/whisper-small