simrank14 Whisper small valDN
This model is a fine-tuned version of simran14/mr-val-c on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.2262
- Wer: 5.2834
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: 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 |
|---|---|---|---|---|
| 0.0155 | 0.5076 | 100 | 0.2410 | 5.8898 |
| 0.0198 | 1.0152 | 200 | 0.2245 | 5.9147 |
| 0.0139 | 1.5228 | 300 | 0.2262 | 5.2834 |
Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.3.1+cu121
- Datasets 2.21.1.dev0
- Tokenizers 0.19.1
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Model tree for simran14/mr-val-dn
Base model
simran14/mr-model-cDataset used to train simran14/mr-val-dn
Evaluation results
- Wer on Common Voice 17.0test set self-reported5.283