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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_with_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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# ascend_with_timit |
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This model is a fine-tuned version of [GleamEyeBeast/ascend_with_timit](https://huggingface.co/GleamEyeBeast/ascend_with_timit) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8013 |
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- Wer: 0.4781 |
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- Cer: 0.1727 |
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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 | Cer | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:| |
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| 2.4026 | 1.0 | 890 | 1.3419 | 0.9083 | 0.3670 | |
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| 1.1926 | 2.0 | 1780 | 0.9730 | 0.6491 | 0.2585 | |
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| 0.9104 | 3.0 | 2670 | 0.8483 | 0.5368 | 0.1963 | |
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| 0.7718 | 4.0 | 3560 | 0.8122 | 0.4913 | 0.1791 | |
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| 0.7013 | 5.0 | 4450 | 0.8013 | 0.4781 | 0.1727 | |
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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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