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wav2vec2-hindi-3
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: 2.0900
- Wer: 0.7281
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 8
- 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: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 40
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 4.609 | 6.41 | 1000 | 1.2290 | 0.7497 |
| 0.3754 | 12.82 | 2000 | 1.5350 | 0.7128 |
| 0.1587 | 19.23 | 3000 | 1.8671 | 0.7322 |
| 0.103 | 25.64 | 4000 | 1.9383 | 0.7300 |
| 0.0761 | 32.05 | 5000 | 2.0767 | 0.7306 |
| 0.0616 | 38.46 | 6000 | 2.0900 | 0.7281 |
Framework versions
- Transformers 4.20.0.dev0
- Pytorch 1.11.0+cu113
- Datasets 2.2.3.dev0
- Tokenizers 0.12.1
