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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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metrics:
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- wer
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model-index:
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- name: wav2vec2-base-librispeech
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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-base-librispeech
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2162
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- Wer: 0.1419
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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: 64
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- eval_batch_size: 32
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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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| 3.606 | 4.13 | 500 | 2.0411 | 0.7943 |
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| 0.3862 | 8.26 | 1000 | 0.3058 | 0.2202 |
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| 0.1253 | 12.4 | 1500 | 0.2450 | 0.1908 |
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| 0.0794 | 16.53 | 2000 | 0.2152 | 0.1531 |
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| 0.0566 | 20.66 | 2500 | 0.2012 | 0.1457 |
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| 0.0446 | 24.79 | 3000 | 0.2061 | 0.1432 |
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| 0.0363 | 28.93 | 3500 | 0.2162 | 0.1419 |
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### Framework versions
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- Transformers 4.29.2
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- Pytorch 2.0.1+cu118
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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