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update model card README.md
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README.md
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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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