| | --- |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: bangla_asr |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # bangla_asr |
| | |
| | This model is a fine-tuned version of [Harveenchadha/vakyansh-wav2vec2-bengali-bnm-200](https://huggingface.co/Harveenchadha/vakyansh-wav2vec2-bengali-bnm-200) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 157.8652 |
| | - Wer: 0.4507 |
| | |
| | ## 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 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 1000 |
| | - num_epochs: 60 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Wer | |
| | |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | | 2601.5363 | 7.46 | 500 | 259.6630 | 0.6863 | |
| | | 417.7386 | 14.93 | 1000 | 156.6117 | 0.5275 | |
| | | 262.9455 | 22.39 | 1500 | 155.0886 | 0.5006 | |
| | | 178.7715 | 29.85 | 2000 | 155.1077 | 0.4840 | |
| | | 132.448 | 37.31 | 2500 | 163.8623 | 0.4770 | |
| | | 116.3943 | 44.78 | 3000 | 161.5531 | 0.4609 | |
| | | 87.1653 | 52.24 | 3500 | 165.6857 | 0.4597 | |
| | | 80.5606 | 59.7 | 4000 | 157.8652 | 0.4507 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.11.3 |
| | - Pytorch 1.10.0+cu111 |
| | - Datasets 1.13.3 |
| | - Tokenizers 0.10.3 |
| |
|
