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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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