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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: wav2vec2-large-xlsr-53-demo-colab
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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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# wav2vec2-large-xlsr-53-demo-colab
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This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the common_voice dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6901
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- Wer: 1.6299
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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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| 8.5034 | 3.42 | 400 | 3.5852 | 1.0 |
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| 1.7853 | 6.83 | 800 | 0.7430 | 1.6774 |
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| 0.5675 | 10.26 | 1200 | 0.6513 | 1.6330 |
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| 0.3761 | 13.67 | 1600 | 0.6208 | 1.6081 |
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| 0.2776 | 17.09 | 2000 | 0.6401 | 1.6081 |
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| 0.2266 | 20.51 | 2400 | 0.6410 | 1.6295 |
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| 0.1949 | 23.93 | 2800 | 0.6910 | 1.6287 |
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| 0.1672 | 27.35 | 3200 | 0.6901 | 1.6299 |
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### Framework versions
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- Transformers 4.11.3
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- Pytorch 1.10.0+cu111
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- Datasets 1.14.0
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- Tokenizers 0.10.3
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