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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: deit-hoogberta
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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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# deit-hoogberta
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.5649
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- Cer: 0.9892
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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: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 16
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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: 3
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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 | Cer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 3.9434 | 0.28 | 500 | 4.0407 | 1.0311 |
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| 4.0651 | 0.57 | 1000 | 3.8605 | 1.1336 |
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| 3.8945 | 0.85 | 1500 | 3.7821 | 1.0140 |
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| 3.5253 | 1.14 | 2000 | 3.7052 | 0.9804 |
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| 3.5323 | 1.42 | 2500 | 3.6638 | 1.0365 |
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| 3.3077 | 1.71 | 3000 | 3.6237 | 0.9716 |
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| 3.3064 | 1.99 | 3500 | 3.5834 | 0.9648 |
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| 3.2921 | 2.28 | 4000 | 3.5971 | 0.9872 |
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| 3.0653 | 2.56 | 4500 | 3.5830 | 1.0193 |
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| 3.1912 | 2.85 | 5000 | 3.5649 | 0.9892 |
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### Framework versions
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- Transformers 4.28.1
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- Pytorch 2.0.0+cu118
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- Datasets 2.11.0
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- Tokenizers 0.13.3
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