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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-large-teacher-base-student-en-asr-timit
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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-teacher-base-student-en-asr-timit
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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: 73.5882
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- Wer: 0.3422
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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: 64
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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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| 920.6083 | 3.17 | 200 | 1256.0675 | 1.0 |
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| 660.5993 | 6.35 | 400 | 717.6098 | 0.9238 |
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| 336.5288 | 9.52 | 600 | 202.0025 | 0.5306 |
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| 131.3178 | 12.7 | 800 | 108.0701 | 0.4335 |
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| 73.4232 | 15.87 | 1000 | 90.2797 | 0.3728 |
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| 54.9439 | 19.05 | 1200 | 76.9043 | 0.3636 |
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| 44.6595 | 22.22 | 1400 | 79.2443 | 0.3550 |
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| 38.6381 | 25.4 | 1600 | 73.6277 | 0.3493 |
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| 35.074 | 28.57 | 1800 | 73.5882 | 0.3422 |
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### Framework versions
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- Transformers 4.25.1
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- Pytorch 1.13.0+cu116
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- Datasets 1.18.3
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- Tokenizers 0.13.2
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