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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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