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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: 0.2477
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- Wer: 0.2991
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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: 1000
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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 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 3.1589 | 3.48 | 400 | 3.0830 | 1.0 |
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| 2.8921 | 6.96 | 800 | 2.6605 | 0.9982 |
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| 1.3049 | 10.43 | 1200 | 0.5069 | 0.5707 |
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| 1.1349 | 13.91 | 1600 | 0.4159 | 0.5041 |
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| 1.0686 | 17.39 | 2000 | 0.3815 | 0.4746 |
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| 0.999 | 20.87 | 2400 | 0.3541 | 0.4343 |
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| 0.945 | 24.35 | 2800 | 0.3266 | 0.4132 |
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| 0.9058 | 27.83 | 3200 | 0.2969 | 0.3771 |
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| 0.8672 | 31.3 | 3600 | 0.2802 | 0.3553 |
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| 0.8313 | 34.78 | 4000 | 0.2662 | 0.3380 |
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| 0.8068 | 38.26 | 4400 | 0.2528 | 0.3181 |
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| 0.7796 | 41.74 | 4800 | 0.2537 | 0.3073 |
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| 0.7621 | 45.22 | 5200 | 0.2503 | 0.3036 |
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| 0.7611 | 48.7 | 5600 | 0.2477 | 0.2991 |
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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 1.18.2.dev0
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- Tokenizers 0.11.0
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