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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-large-xlsr-53-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-large-xlsr-53-urdu |
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This model is a fine-tuned version of [m3hrdadfi/wav2vec2-large-xlsr-persian-v3](https://huggingface.co/m3hrdadfi/wav2vec2-large-xlsr-persian-v3) on the common_voice dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5727 |
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- Wer: 0.6620 |
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- Cer: 0.3166 |
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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: 0.0003 |
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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: 200 |
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- num_epochs: 50 |
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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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| 2.9707 | 8.33 | 100 | 1.2689 | 0.8463 | 0.4373 | |
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| 0.746 | 16.67 | 200 | 1.2370 | 0.7214 | 0.3486 | |
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| 0.3719 | 25.0 | 300 | 1.3885 | 0.6908 | 0.3381 | |
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| 0.2411 | 33.33 | 400 | 1.4780 | 0.6690 | 0.3186 | |
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| 0.1841 | 41.67 | 500 | 1.5557 | 0.6629 | 0.3241 | |
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| 0.165 | 50.0 | 600 | 1.5727 | 0.6620 | 0.3166 | |
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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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