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update model card README.md
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README.md
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---
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language:
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- tr
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license: apache-2.0
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tags:
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- automatic-speech-recognition
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- common_voice
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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-xls-r-common_voice-tr-ft
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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-xls-r-common_voice-tr-ft
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the COMMON_VOICE - TR dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3736
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- Wer: 0.2930
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- Cer: 0.0708
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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: 0.0005
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- train_batch_size: 12
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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- total_train_batch_size: 96
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- total_eval_batch_size: 64
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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: 100.0
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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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| 0.5462 | 13.51 | 500 | 0.4423 | 0.4807 | 0.1188 |
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| 0.342 | 27.03 | 1000 | 0.3781 | 0.3954 | 0.0967 |
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| 0.2272 | 40.54 | 1500 | 0.3816 | 0.3595 | 0.0893 |
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| 0.1805 | 54.05 | 2000 | 0.3943 | 0.3487 | 0.0854 |
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| 0.1318 | 67.57 | 2500 | 0.3818 | 0.3262 | 0.0801 |
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| 0.1213 | 81.08 | 3000 | 0.3777 | 0.3113 | 0.0758 |
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| 0.0639 | 94.59 | 3500 | 0.3788 | 0.2953 | 0.0716 |
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### Framework versions
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- Transformers 4.14.1
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- Pytorch 1.8.0
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- Datasets 1.17.0
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- Tokenizers 0.10.3
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