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---
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 |
### Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu111
- Datasets 1.13.3
- Tokenizers 0.10.3
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