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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-common_voice-tr-demo-dist |
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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-common_voice-tr-demo-dist |
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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 COMMON_VOICE - TR dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3848 |
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- Wer: 0.3242 |
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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: 4 |
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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: 4 |
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- total_train_batch_size: 16 |
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- total_eval_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: 15.0 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 3.5279 | 0.46 | 100 | 3.6260 | 1.0 | |
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| 3.1065 | 0.92 | 200 | 3.0854 | 0.9999 | |
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| 1.4111 | 1.38 | 300 | 1.3343 | 0.8839 | |
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| 0.8468 | 1.83 | 400 | 0.6920 | 0.6826 | |
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| 0.6242 | 2.29 | 500 | 0.6001 | 0.5996 | |
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| 0.4181 | 2.75 | 600 | 0.5655 | 0.5680 | |
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| 0.4311 | 3.21 | 700 | 0.4478 | 0.5003 | |
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| 0.3601 | 3.67 | 800 | 0.4548 | 0.5011 | |
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| 0.2756 | 4.13 | 900 | 0.4444 | 0.4682 | |
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| 0.2373 | 4.59 | 1000 | 0.4111 | 0.4432 | |
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| 0.1831 | 5.05 | 1100 | 0.4178 | 0.4447 | |
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| 0.2423 | 5.5 | 1200 | 0.3881 | 0.4277 | |
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| 0.2128 | 5.96 | 1300 | 0.3865 | 0.4018 | |
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| 0.1256 | 6.42 | 1400 | 0.3818 | 0.4137 | |
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| 0.1038 | 6.88 | 1500 | 0.3739 | 0.3942 | |
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| 0.1662 | 7.34 | 1600 | 0.3938 | 0.3929 | |
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| 0.198 | 7.8 | 1700 | 0.3831 | 0.3837 | |
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| 0.0728 | 8.26 | 1800 | 0.3910 | 0.3867 | |
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| 0.123 | 8.72 | 1900 | 0.3722 | 0.3735 | |
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| 0.0776 | 9.17 | 2000 | 0.3938 | 0.3725 | |
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| 0.1597 | 9.63 | 2100 | 0.3786 | 0.3697 | |
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| 0.1124 | 10.09 | 2200 | 0.3947 | 0.3590 | |
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| 0.0965 | 10.55 | 2300 | 0.3952 | 0.3562 | |
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| 0.0612 | 11.01 | 2400 | 0.3810 | 0.3476 | |
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| 0.0764 | 11.47 | 2500 | 0.3734 | 0.3507 | |
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| 0.0973 | 11.93 | 2600 | 0.3935 | 0.3472 | |
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| 0.0649 | 12.39 | 2700 | 0.3672 | 0.3413 | |
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| 0.0542 | 12.84 | 2800 | 0.3732 | 0.3369 | |
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| 0.087 | 13.3 | 2900 | 0.3833 | 0.3458 | |
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| 0.0196 | 13.76 | 3000 | 0.3761 | 0.3303 | |
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| 0.0548 | 14.22 | 3100 | 0.3855 | 0.3274 | |
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| 0.0577 | 14.68 | 3200 | 0.3893 | 0.3238 | |
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### Framework versions |
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- Transformers 4.20.0.dev0 |
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- Pytorch 1.11.0+cu102 |
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- Datasets 2.2.1 |
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- Tokenizers 0.12.1 |
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