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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-xls-r-300m-turkish-colab_common_voice-8_6
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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-xls-r-300m-turkish-colab_common_voice-8_6
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This model is a fine-tuned version of [husnu/wav2vec2-large-xls-r-300m-turkish-colab_common_voice-8_5](https://huggingface.co/husnu/wav2vec2-large-xls-r-300m-turkish-colab_common_voice-8_5) on the common_voice dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3646
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- Wer: 0.3478
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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: 500
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- num_epochs: 6
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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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| 0.1024 | 0.51 | 400 | 0.4030 | 0.4171 |
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| 0.1533 | 1.02 | 800 | 0.4733 | 0.4570 |
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| 0.1584 | 1.53 | 1200 | 0.4150 | 0.4371 |
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| 0.1538 | 2.04 | 1600 | 0.4104 | 0.4390 |
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| 0.1395 | 2.55 | 2000 | 0.3891 | 0.4133 |
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| 0.1415 | 3.07 | 2400 | 0.3877 | 0.4015 |
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| 0.1261 | 3.58 | 2800 | 0.3685 | 0.3899 |
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| 0.1149 | 4.09 | 3200 | 0.3791 | 0.3881 |
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| 0.1003 | 4.6 | 3600 | 0.3642 | 0.3626 |
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| 0.0934 | 5.11 | 4000 | 0.3755 | 0.3516 |
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| 0.0805 | 5.62 | 4400 | 0.3646 | 0.3478 |
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### Framework versions
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- Transformers 4.11.3
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- Pytorch 1.10.0+cu113
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- Datasets 2.1.0
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- Tokenizers 0.10.3
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