wav2vec2-base-Tamil-large
This model is a fine-tuned version of facebook/wav2vec2-base-960h on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3015
- Wer: 0.3470
- Cer: 0.0610
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: 6
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 3000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 5.2014 | 2.2472 | 300 | 3.2558 | 1.0 | 1.0 |
| 1.1765 | 4.4944 | 600 | 0.5245 | 0.7139 | 0.1482 |
| 0.4765 | 6.7416 | 900 | 0.4191 | 0.6080 | 0.1133 |
| 0.33 | 8.9888 | 1200 | 0.3494 | 0.4983 | 0.0910 |
| 0.2488 | 11.2360 | 1500 | 0.3163 | 0.4470 | 0.0811 |
| 0.1951 | 13.4831 | 1800 | 0.3326 | 0.4179 | 0.0748 |
| 0.1586 | 15.7303 | 2100 | 0.3135 | 0.3924 | 0.0702 |
| 0.1308 | 17.9775 | 2400 | 0.3070 | 0.3798 | 0.0668 |
| 0.1111 | 20.2247 | 2700 | 0.2999 | 0.3618 | 0.0635 |
| 0.0996 | 22.4719 | 3000 | 0.3015 | 0.3470 | 0.0610 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 1.18.3
- Tokenizers 0.19.1