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README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: facebook/wav2vec2-large-xlsr-53
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tags:
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- generated_from_trainer
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metrics:
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- wer
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model-index:
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- name: wav2vec-xlsr-53-turkish-v4
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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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# wav2vec-xlsr-53-turkish-v4
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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 None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8656
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- Wer: 0.5719
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- Cer: 0.1447
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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: 3e-05
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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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 750
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- num_epochs: 12
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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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| 3.1113 | 1.3498 | 1000 | 3.0797 | 1.0 | 1.0 |
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| 0.8723 | 2.6995 | 2000 | 0.5867 | 0.5040 | 0.1197 |
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| 0.752 | 4.0486 | 3000 | 0.4962 | 0.4101 | 0.0981 |
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| 0.7464 | 5.3984 | 4000 | 0.5006 | 0.4184 | 0.0998 |
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| 0.7835 | 6.7481 | 5000 | 0.5443 | 0.4332 | 0.1036 |
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| 1.0919 | 8.0972 | 6000 | 0.6643 | 0.4878 | 0.1186 |
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| 1.3457 | 9.4470 | 7000 | 0.9190 | 0.6869 | 0.1907 |
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| 1.2715 | 10.7968 | 8000 | 0.8656 | 0.5719 | 0.1447 |
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### Framework versions
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- Transformers 4.56.1
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- Pytorch 2.8.0+cu128
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- Datasets 3.6.0
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- Tokenizers 0.22.0
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