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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-large-xls-r-300m-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-large-xls-r-300m-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: 0.3527 |
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- Wer: 0.3212 |
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- Cer: 0.0750 |
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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: 8 |
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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: 64 |
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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: 50.0 |
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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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| 0.7897 | 9.09 | 500 | 0.4873 | 0.6006 | 0.1491 | |
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| 0.5166 | 18.18 | 1000 | 0.4058 | 0.4238 | 0.1070 | |
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| 0.4012 | 27.27 | 1500 | 0.3716 | 0.3781 | 0.0935 | |
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| 0.3851 | 36.36 | 2000 | 0.3565 | 0.3458 | 0.0836 | |
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| 0.2212 | 45.45 | 2500 | 0.3580 | 0.3272 | 0.0766 | |
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### Framework versions |
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- Transformers 4.13.0.dev0 |
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- Pytorch 1.9.0+cu111 |
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- Datasets 1.15.2.dev0 |
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- Tokenizers 0.10.3 |
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