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kannada_wav2vec2_final
This model is a fine-tuned version of Harveenchadha/vakyansh-wav2vec2-kannada-knm-560 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0031
- Wer: 0.1030
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: 0.0003
- 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: 10
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.2326 | 8.33 | 25 | 0.2090 | 0.3620 |
| 0.2484 | 16.67 | 50 | 0.0718 | 0.1836 |
| 0.1391 | 25.0 | 75 | 0.0482 | 0.1308 |
| 0.0653 | 33.33 | 100 | 0.0091 | 0.1083 |
| 0.0616 | 41.67 | 125 | 0.0039 | 0.1044 |
| 0.0369 | 50.0 | 150 | 0.0031 | 0.1030 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 1.18.3
- Tokenizers 0.14.1
