simrank14 Whisper small val i
This model is a fine-tuned version of simran14/mr-model-h on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0002
- Wer: 0.0323
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 | step | Validation Loss | Wer |
|---|---|---|---|
| 0.0002 | 1000 | 0.0003 | 0.0646 |
| 0.0001 | 2000 | 0.0002 | 0.0323 |
Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Downloads last month
- 5
Model tree for simran14/finetuned-whisper-mr
Dataset used to train simran14/finetuned-whisper-mr
Evaluation results
- Wer on Common Voice 17.0test set self-reported0.032