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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: xls-r-300m-dv
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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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# xls-r-300m-dv
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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: 0.6182
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- Wer: 0.5481
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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: 0.0003
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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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- gradient_accumulation_steps: 2
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- total_train_batch_size: 32
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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: 500
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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 | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 4.3529 | 2.63 | 400 | 1.2050 | 0.9526 |
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| 0.7191 | 5.26 | 800 | 0.6037 | 0.7216 |
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| 0.3981 | 7.89 | 1200 | 0.5048 | 0.6225 |
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| 0.2888 | 10.52 | 1600 | 0.5345 | 0.6170 |
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| 0.2229 | 13.16 | 2000 | 0.5261 | 0.6015 |
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| 0.1865 | 15.79 | 2400 | 0.5983 | 0.5924 |
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| 0.1542 | 18.42 | 2800 | 0.5900 | 0.5770 |
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| 0.1401 | 21.05 | 3200 | 0.6425 | 0.5783 |
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| 0.1205 | 23.68 | 3600 | 0.6322 | 0.5760 |
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| 0.1105 | 26.31 | 4000 | 0.6302 | 0.5567 |
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| 0.0958 | 28.94 | 4400 | 0.6182 | 0.5481 |
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### Framework versions
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- Transformers 4.16.0.dev0
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- Pytorch 1.10.1+cu102
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- Datasets 1.17.1.dev0
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- Tokenizers 0.11.0
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