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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bangla_asr |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# bangla_asr |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 157.8652 |
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- Wer: 0.4507 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0001 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 1000 |
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- num_epochs: 60 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 2601.5363 | 7.46 | 500 | 259.6630 | 0.6863 | |
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| 417.7386 | 14.93 | 1000 | 156.6117 | 0.5275 | |
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| 262.9455 | 22.39 | 1500 | 155.0886 | 0.5006 | |
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| 178.7715 | 29.85 | 2000 | 155.1077 | 0.4840 | |
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| 132.448 | 37.31 | 2500 | 163.8623 | 0.4770 | |
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| 116.3943 | 44.78 | 3000 | 161.5531 | 0.4609 | |
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| 87.1653 | 52.24 | 3500 | 165.6857 | 0.4597 | |
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| 80.5606 | 59.7 | 4000 | 157.8652 | 0.4507 | |
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### Framework versions |
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- Transformers 4.11.3 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 1.13.3 |
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- Tokenizers 0.10.3 |
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