wav2vec2-kashmiri
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.3720
- Wer: 1.0
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: 0.0005
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 17.6618 | 0.7143 | 5 | 14.9139 | 1.0 |
| 13.485 | 1.4286 | 10 | 5.8398 | 1.0 |
| 5.3004 | 2.1429 | 15 | 4.0354 | 1.0 |
| 3.941 | 2.8571 | 20 | 3.5846 | 1.0 |
| 3.6257 | 3.5714 | 25 | 3.4387 | 1.0 |
| 3.5118 | 4.2857 | 30 | 3.3843 | 1.0 |
| 3.4248 | 5.0 | 35 | 3.3720 | 1.0 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Base model
facebook/wav2vec2-large-xlsr-53