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--- |
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base_model: facebook/wav2vec2-xls-r-300m |
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datasets: |
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- mozilla-foundation/common_voice_17 |
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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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- generated_from_trainer |
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model-index: |
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- name: 'Wav2Vec2-XLS-TR ' |
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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-TR |
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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 17 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2925 |
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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: 0.0001 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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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_ratio: 0.1 |
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- num_epochs: 30 |
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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 | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 0.6208 | 1.0 | 2901 | 0.3714 | |
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| 0.4852 | 2.0 | 5802 | 0.3358 | |
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| 0.4807 | 3.0 | 8703 | 0.4309 | |
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| 0.441 | 4.0 | 11604 | 0.4345 | |
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| 0.3965 | 5.0 | 14505 | 0.3815 | |
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| 0.3429 | 6.0 | 17406 | 0.3601 | |
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| 0.3074 | 7.0 | 20307 | 0.3551 | |
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| 0.2913 | 8.0 | 23208 | 0.3477 | |
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| 0.2744 | 9.0 | 26109 | 0.3262 | |
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| 0.2611 | 10.0 | 29010 | 0.3225 | |
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| 0.2359 | 11.0 | 31911 | 0.3244 | |
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| 0.2398 | 12.0 | 34812 | 0.3053 | |
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| 0.2085 | 13.0 | 37713 | 0.3058 | |
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| 0.1903 | 14.0 | 40614 | 0.3219 | |
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| 0.1827 | 15.0 | 43515 | 0.2911 | |
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| 0.1654 | 16.0 | 46416 | 0.2890 | |
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| 0.1548 | 17.0 | 49317 | 0.2945 | |
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| 0.1467 | 18.0 | 52218 | 0.2807 | |
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| 0.1399 | 19.0 | 55119 | 0.2914 | |
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| 0.1272 | 20.0 | 58020 | 0.2974 | |
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| 0.1162 | 21.0 | 60921 | 0.2991 | |
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| 0.1056 | 22.0 | 63822 | 0.2743 | |
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| 0.1004 | 23.0 | 66723 | 0.2932 | |
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| 0.0926 | 24.0 | 69624 | 0.2806 | |
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| 0.0855 | 25.0 | 72525 | 0.2872 | |
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| 0.0802 | 26.0 | 75426 | 0.2732 | |
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| 0.078 | 27.0 | 78327 | 0.2844 | |
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| 0.0689 | 28.0 | 81228 | 0.2884 | |
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| 0.0634 | 29.0 | 84129 | 0.2925 | |
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| 0.0616 | 30.0 | 87030 | 0.2925 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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