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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_8_0
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model-index:
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- name: XLSR_Fine_Tuned_Urdu_V2
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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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# XLSR_Fine_Tuned_Urdu_V2
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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_8_0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8023
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- Wer: 0.4382
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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: 8
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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: 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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| 6.424 | 3.25 | 1000 | 2.9777 | 1.0 |
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| 1.4315 | 6.49 | 2000 | 0.8493 | 0.5896 |
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| 0.6938 | 9.74 | 3000 | 0.7438 | 0.4978 |
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| 0.5129 | 12.99 | 4000 | 0.7480 | 0.4785 |
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| 0.4133 | 16.23 | 5000 | 0.7568 | 0.4600 |
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| 0.3496 | 19.48 | 6000 | 0.7387 | 0.4471 |
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| 0.3133 | 22.73 | 7000 | 0.7655 | 0.4426 |
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| 0.2767 | 25.97 | 8000 | 0.8081 | 0.4530 |
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| 0.2581 | 29.22 | 9000 | 0.8023 | 0.4382 |
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### Framework versions
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- Transformers 4.21.0
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- Pytorch 1.11.0+cu113
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- Datasets 2.4.0
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- Tokenizers 0.12.1
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