| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - openslr |
| metrics: |
| - wer |
| model-index: |
| - name: Telugu-ASR |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: openslr |
| type: openslr |
| config: SLR66 |
| split: train |
| args: SLR66 |
| metrics: |
| - name: Wer |
| type: wer |
| value: 0.2884547694473777 |
| --- |
| |
| Telugu-ASR |
| This model is a fine-tuned version of Wav2Vec2 on the openslr dataset. |
| It achieves the following results on the evaluation set: |
|
|
| - Loss: 0.2982 |
| - Wer: 0.2885 |
|
|
| ## Model description |
| - 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: 500 |
| - num_epochs: 30 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | 6.6905 | 3.84 | 400 | 0.7109 | 0.7800 | |
| | 0.4532 | 7.69 | 800 | 0.2972 | 0.3977 | |
| | 0.1957 | 11.54 | 1200 | 0.2907 | 0.3522 | |
| | 0.1284 | 15.38 | 1600 | 0.3117 | 0.3317 | |
| | 0.0979 | 19.23 | 2000 | 0.3000 | 0.3353 | |
| | 0.0749 | 23.08 | 2400 | 0.2823 | 0.3045 | |
| | 0.0584 | 26.92 | 2800 | 0.2982 | 0.2885 | |
