whisper-tiny-hindi3_test
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: 0.4252
- Wer: 52.6981
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: 3.75e-05
- train_batch_size: 16
- eval_batch_size: 1
- 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: constant
- lr_scheduler_warmup_steps: 30
- training_steps: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.1072 | 0.2 | 20 | 0.8412 | 86.0034 |
| 0.6316 | 0.4 | 40 | 0.5764 | 66.9477 |
| 0.5548 | 0.6 | 60 | 0.5071 | 63.4064 |
| 0.5014 | 0.8 | 80 | 0.4606 | 55.3120 |
| 0.459 | 1.0 | 100 | 0.4252 | 52.6981 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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