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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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model-index:
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- name: ascend
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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
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This model is a fine-tuned version of [GleamEyeBeast/ascend](https://huggingface.co/GleamEyeBeast/ascend) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1048
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- Wer: 0.7863
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- Cer: 0.3097
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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: 10
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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 | Cer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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| 2.1836 | 1.0 | 688 | 1.4966 | 0.8833 | 0.5053 |
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| 1.4799 | 2.0 | 1376 | 1.2656 | 0.8818 | 0.4452 |
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| 1.0552 | 3.0 | 2064 | 1.2256 | 0.9278 | 0.3741 |
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| 0.9307 | 4.0 | 2752 | 1.1689 | 0.8315 | 0.3527 |
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| 0.8515 | 5.0 | 3440 | 1.1272 | 0.8078 | 0.3452 |
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| 0.7176 | 6.0 | 4128 | 1.1201 | 0.8351 | 0.3280 |
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| 0.6819 | 7.0 | 4816 | 1.1073 | 0.7999 | 0.3230 |
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| 0.6103 | 8.0 | 5504 | 1.1128 | 0.7956 | 0.3153 |
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| 0.5741 | 9.0 | 6192 | 1.1113 | 0.7859 | 0.3105 |
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| 0.5645 | 10.0 | 6880 | 1.1048 | 0.7863 | 0.3097 |
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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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