| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - wer |
| | model-index: |
| | - name: Urdu_Based_ASR_Model_FYP |
| | 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. --> |
| |
|
| | # Urdu_Based_ASR_Model_FYP |
| |
|
| | This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.0030 |
| | - Wer: 93.0849 |
| |
|
| | ## 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: 1e-05 |
| | - 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: 100 |
| | - training_steps: 700 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Wer | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | | 1.2479 | 2.27 | 100 | 1.0445 | 103.8776 | |
| | | 0.3529 | 4.55 | 200 | 0.2966 | 70.4653 | |
| | | 0.148 | 6.82 | 300 | 0.1006 | 54.3300 | |
| | | 0.047 | 9.09 | 400 | 0.0274 | 52.7574 | |
| | | 0.0101 | 11.36 | 500 | 0.0099 | 65.1659 | |
| | | 0.0041 | 13.64 | 600 | 0.0039 | 84.2309 | |
| | | 0.0033 | 15.91 | 700 | 0.0030 | 93.0849 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.30.0.dev0 |
| | - Pytorch 2.0.1+cu118 |
| | - Datasets 2.12.0 |
| | - Tokenizers 0.13.3 |
| | |
