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--- |
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tags: |
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- generated_from_trainer |
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datasets: |
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- common_voice |
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model-index: |
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- name: wav2vec2-60-urdu |
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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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# wav2vec2-60-urdu |
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This model is a fine-tuned version of [Harveenchadha/vakyansh-wav2vec2-urdu-urm-60](https://huggingface.co/Harveenchadha/vakyansh-wav2vec2-urdu-urm-60) on the common_voice dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 8.8609 |
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- Wer: 0.5948 |
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- Cer: 0.3176 |
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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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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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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: 100 |
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- num_epochs: 30 |
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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 | Cer | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:| |
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| 24.6193 | 4.17 | 50 | 8.8884 | 1.4349 | 0.6538 | |
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| 4.0847 | 8.33 | 100 | 8.9820 | 0.8175 | 0.4775 | |
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| 2.7909 | 12.5 | 150 | 10.4491 | 0.6559 | 0.4129 | |
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| 1.8326 | 16.67 | 200 | 8.7698 | 0.6105 | 0.3530 | |
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| 1.2727 | 20.83 | 250 | 8.7352 | 0.6061 | 0.3302 | |
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| 1.0649 | 25.0 | 300 | 8.7588 | 0.6079 | 0.3240 | |
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| 1.0751 | 29.17 | 350 | 8.8609 | 0.5948 | 0.3176 | |
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### Framework versions |
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- Transformers 4.15.0 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 1.17.0 |
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- Tokenizers 0.10.3 |
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