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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: 1.2239
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- Wer: 0.5390
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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: 0.00033
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- train_batch_size: 16
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- eval_batch_size: 8
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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: 1100
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- num_epochs: 100.0
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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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| 3.3931 | 9.26 | 500 | 2.6013 | 0.9914 |
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| 0.3457 | 18.52 | 1000 | 1.0316 | 0.6452 |
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| 0.2118 | 27.78 | 1500 | 1.1182 | 0.6354 |
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| 0.1245 | 37.04 | 2000 | 1.2044 | 0.6296 |
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| 0.1068 | 46.3 | 2500 | 1.1400 | 0.5821 |
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| 0.0806 | 55.56 | 3000 | 1.2010 | 0.5786 |
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| 0.0679 | 64.81 | 3500 | 1.1645 | 0.5465 |
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| 0.0506 | 74.07 | 4000 | 1.2748 | 0.5508 |
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| 0.0397 | 83.33 | 4500 | 1.1869 | 0.5394 |
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| 0.0276 | 92.59 | 5000 | 1.2239 | 0.5390 |
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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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