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README.md
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---
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license: apache-2.0
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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 [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the common_voice dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.6772
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- Wer: 1.0
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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: 10
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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 |
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|:-------------:|:-----:|:----:|:---------------:|:---:|
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| 11.1125 | 3.33 | 40 | 3.2875 | 1.0 |
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| 3.2077 | 6.67 | 80 | 3.1499 | 1.0 |
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| 3.1725 | 10.0 | 120 | 3.1484 | 1.0 |
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| 3.148 | 13.33 | 160 | 3.0948 | 1.0 |
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| 3.1098 | 16.67 | 200 | 3.0897 | 1.0 |
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| 3.085 | 20.0 | 240 | 3.0609 | 1.0 |
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| 3.0315 | 23.33 | 280 | 2.9636 | 1.0 |
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| 2.9038 | 26.67 | 320 | 2.7838 | 1.0 |
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| 2.7599 | 30.0 | 360 | 2.6772 | 1.0 |
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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 1.17.0
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- Tokenizers 0.10.3
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