simrank14 Whisper small valH fin
This model is a fine-tuned version of simran14/mr-val-g on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0004
- Wer: 0.0596
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: 5e-07
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0004 | 0.6098 | 1000 | 0.0007 | 0.2510 |
| 0.0002 | 1.2195 | 2000 | 0.0004 | 0.0696 |
| 0.0003 | 1.8293 | 3000 | 0.0004 | 0.0596 |
Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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