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README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: ascend_with_timit
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# ascend_with_timit
+
+This model is a fine-tuned version of [GleamEyeBeast/ascend_with_timit](https://huggingface.co/GleamEyeBeast/ascend_with_timit) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8013
+- Wer: 0.4781
+- Cer: 0.1727
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
+| 2.4026        | 1.0   | 890  | 1.3419          | 0.9083 | 0.3670 |
+| 1.1926        | 2.0   | 1780 | 0.9730          | 0.6491 | 0.2585 |
+| 0.9104        | 3.0   | 2670 | 0.8483          | 0.5368 | 0.1963 |
+| 0.7718        | 4.0   | 3560 | 0.8122          | 0.4913 | 0.1791 |
+| 0.7013        | 5.0   | 4450 | 0.8013          | 0.4781 | 0.1727 |
+
+
+### Framework versions
+
+- Transformers 4.17.0
+- Pytorch 1.10.0+cu111
+- Datasets 2.0.0
+- Tokenizers 0.11.6