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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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metrics:
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- accuracy
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model-index:
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- name: 1.3b-handwritten-v1-after-book
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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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# 1.3b-handwritten-v1-after-book
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This model was trained from scratch on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.0566
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- Accuracy: 0.0669
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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: 3e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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- total_train_batch_size: 32
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- total_eval_batch_size: 32
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- num_epochs: 3.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 2.3721 | 0.2 | 1 | 2.2148 | 0.0641 |
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| 2.241 | 0.4 | 2 | 2.2148 | 0.0641 |
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| 2.469 | 0.6 | 3 | 2.1348 | 0.0653 |
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| 2.3735 | 0.8 | 4 | 2.1309 | 0.0648 |
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| 2.2755 | 1.0 | 5 | 2.1133 | 0.0652 |
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| 2.0428 | 1.2 | 6 | 2.0938 | 0.0659 |
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| 1.764 | 1.4 | 7 | 2.0781 | 0.0659 |
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| 1.7458 | 1.6 | 8 | 2.0781 | 0.0661 |
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| 1.868 | 1.8 | 9 | 2.0820 | 0.0660 |
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| 1.9548 | 2.0 | 10 | 2.0703 | 0.0663 |
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| 1.6772 | 2.2 | 11 | 2.0605 | 0.0665 |
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| 1.3997 | 2.4 | 12 | 2.0566 | 0.0668 |
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| 1.3717 | 2.6 | 13 | 2.0547 | 0.0669 |
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| 1.5284 | 2.8 | 14 | 2.0547 | 0.0667 |
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| 1.2264 | 3.0 | 15 | 2.0566 | 0.0669 |
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### Framework versions
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- Transformers 4.25.0.dev0
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- Pytorch 1.12.1+cu113
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- Datasets 2.3.2
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- Tokenizers 0.12.1
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