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update model card README.md
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README.md
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---
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tags:
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- generated_from_trainer
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datasets:
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- timit_asr
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model-index:
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- name: ascend_with_english
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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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# ascend_with_english
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This model is a fine-tuned version of [GleamEyeBeast/ascend](https://huggingface.co/GleamEyeBeast/ascend) on the timit_asr dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3049
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- Wer: 0.2251
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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: 5e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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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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- num_epochs: 5
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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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| No log | 1.0 | 289 | 0.3524 | 0.3016 |
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| 0.4246 | 2.0 | 578 | 0.3132 | 0.2607 |
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| 0.4246 | 3.0 | 867 | 0.3044 | 0.2373 |
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| 0.2008 | 4.0 | 1156 | 0.3075 | 0.2302 |
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| 0.2008 | 5.0 | 1445 | 0.3049 | 0.2251 |
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### Framework versions
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- Transformers 4.17.0
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- Pytorch 1.10.0+cu111
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- Datasets 2.0.0
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- Tokenizers 0.11.6
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