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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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model-index:
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- name: XLS-R_timit_en
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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_timit_en
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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 None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2960
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- Wer: 0.2705
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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: 0.0001
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- train_batch_size: 8
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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: 1000
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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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| 3.6358 | 2.01 | 1000 | 0.7983 | 0.7896 |
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| 0.6096 | 4.02 | 2000 | 0.2907 | 0.3794 |
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| 0.314 | 6.02 | 3000 | 0.2625 | 0.3246 |
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| 0.2259 | 8.03 | 4000 | 0.2673 | 0.3058 |
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| 0.1771 | 10.04 | 5000 | 0.2518 | 0.2932 |
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| 0.1474 | 12.05 | 6000 | 0.2717 | 0.2900 |
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| 0.1267 | 14.06 | 7000 | 0.2700 | 0.2821 |
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| 0.1069 | 16.06 | 8000 | 0.2941 | 0.2834 |
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| 0.0991 | 18.07 | 9000 | 0.3021 | 0.2806 |
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| 0.0853 | 20.08 | 10000 | 0.3088 | 0.2803 |
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| 0.0787 | 22.09 | 11000 | 0.2987 | 0.2770 |
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| 0.067 | 24.1 | 12000 | 0.3182 | 0.2734 |
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| 0.0652 | 26.1 | 13000 | 0.3117 | 0.2701 |
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| 0.0636 | 28.11 | 14000 | 0.2960 | 0.2705 |
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### Framework versions
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- Transformers 4.17.0
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- Pytorch 1.12.1+cu113
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- Datasets 1.18.3
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- Tokenizers 0.12.1
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