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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_1_0
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model-index:
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- name: dat259-wav2vec2-en2
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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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# dat259-wav2vec2-en2
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the common_voice_1_0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4176
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- Wer: 0.5532
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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: 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: 20
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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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| 3.7147 | 3.64 | 400 | 2.0524 | 0.9310 |
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| 0.5925 | 7.27 | 800 | 1.3358 | 0.6120 |
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| 0.225 | 10.91 | 1200 | 1.3472 | 0.5807 |
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| 0.1444 | 14.55 | 1600 | 1.4857 | 0.5672 |
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| 0.1072 | 18.18 | 2000 | 1.4176 | 0.5532 |
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### Framework versions
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- Transformers 4.21.1
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- Pytorch 1.12.1+cu102
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- Datasets 2.4.0
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- Tokenizers 0.12.1
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