wav2vec2-large-xlsr-53-iv_hindi_vaani-62420-hinglish_mixed_scripts-alldata-1e-4-100-mix-0.1-FT
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6210
- Global Wer: 22.2936
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: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 500
- num_epochs: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Global Wer |
|---|---|---|---|---|
| 2.6284 | 1.0 | 1080 | 0.7464 | 40.3228 |
| 1.0407 | 2.0 | 2160 | 0.4660 | 30.2183 |
| 0.6285 | 3.0 | 3240 | 0.4367 | 26.8265 |
| 0.4453 | 4.0 | 4320 | 0.4654 | 24.9845 |
| 0.3249 | 5.0 | 5400 | 0.4674 | 23.4127 |
| 0.2503 | 6.0 | 6480 | 0.5044 | 24.1685 |
| 0.1731 | 7.0 | 7560 | 0.5203 | 23.3433 |
| 0.1501 | 8.0 | 8640 | 0.5235 | 22.7336 |
| 0.1351 | 9.0 | 9720 | 0.5713 | 22.4451 |
| 0.1242 | 10.0 | 10800 | 0.5989 | 23.1699 |
| 0.1066 | 11.0 | 11880 | 0.5605 | 22.4378 |
| 0.0944 | 12.0 | 12960 | 0.5812 | 22.4196 |
| 0.0770 | 13.0 | 14040 | 0.5857 | 22.4744 |
| 0.0759 | 14.0 | 15120 | 0.5776 | 22.3393 |
| 0.0701 | 15.0 | 16200 | 0.5947 | 21.7788 |
| 0.0722 | 16.0 | 17280 | 0.6501 | 22.1877 |
| 0.0642 | 17.0 | 18360 | 0.6070 | 21.7825 |
| 0.0590 | 18.0 | 19440 | 0.6210 | 22.2936 |
Framework versions
- Transformers 5.13.0
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.22.2