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--- |
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license: apache-2.0 |
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tags: |
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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: '' |
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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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# |
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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 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3086 |
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- Wer: 0.2676 |
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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: 7.5e-05 |
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- train_batch_size: 32 |
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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_steps: 1500 |
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- num_epochs: 60.0 |
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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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| 5.175 | 2.41 | 400 | 4.6909 | 1.0 | |
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| 3.3785 | 4.82 | 800 | 3.3080 | 1.0 | |
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| 2.6964 | 7.23 | 1200 | 2.0651 | 1.1055 | |
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| 1.3008 | 9.64 | 1600 | 0.5845 | 0.6207 | |
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| 1.1185 | 12.05 | 2000 | 0.4195 | 0.4193 | |
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| 1.0252 | 14.46 | 2400 | 0.3824 | 0.3570 | |
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| 0.935 | 16.87 | 2800 | 0.3693 | 0.3462 | |
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| 0.8818 | 19.28 | 3200 | 0.3587 | 0.3318 | |
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| 0.8534 | 21.69 | 3600 | 0.3420 | 0.3180 | |
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| 0.8137 | 24.1 | 4000 | 0.3426 | 0.3130 | |
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| 0.7968 | 26.51 | 4400 | 0.3349 | 0.3102 | |
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| 0.7558 | 28.92 | 4800 | 0.3216 | 0.3019 | |
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| 0.7313 | 31.33 | 5200 | 0.3451 | 0.3060 | |
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| 0.7358 | 33.73 | 5600 | 0.3272 | 0.2967 | |
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| 0.718 | 36.14 | 6000 | 0.3315 | 0.2882 | |
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| 0.6991 | 38.55 | 6400 | 0.3299 | 0.2830 | |
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| 0.6529 | 40.96 | 6800 | 0.3140 | 0.2836 | |
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| 0.6225 | 43.37 | 7200 | 0.3128 | 0.2751 | |
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| 0.633 | 45.78 | 7600 | 0.3211 | 0.2774 | |
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| 0.5876 | 48.19 | 8000 | 0.3162 | 0.2764 | |
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| 0.588 | 50.6 | 8400 | 0.3082 | 0.2722 | |
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| 0.5915 | 53.01 | 8800 | 0.3120 | 0.2681 | |
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| 0.5798 | 55.42 | 9200 | 0.3133 | 0.2709 | |
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| 0.5736 | 57.83 | 9600 | 0.3086 | 0.2676 | |
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### Framework versions |
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- Transformers 4.17.0.dev0 |
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- Pytorch 1.10.2+cu102 |
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- Datasets 1.18.4.dev0 |
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- Tokenizers 0.11.0 |
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