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TrOCR_0216_All_data
yoon1000/TrOCR_0216_All_data
TrOCR_0216_All_data is a image-text-to-text model from yoon1000. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Image-Text-to-Text
- Library
- transformers
- Model type
- vision-encoder-decoder
- Access
- Public
- Created
- Feb 16, 2024
- Updated
- Feb 16, 2024
- SHA
- 569e3b51
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Base models
Model card
From the Hugging Face model README
<!-- 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. -->
TrOCR_0216_All_data
This model is a fine-tuned version of microsoft/trocr-base-stage1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4491
- Cer: 0.3676
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.8013 | 0.05 | 500 | 0.8621 | 0.1267 |
| 1.0882 | 0.09 | 1000 | 0.8068 | 0.1353 |
| 0.5746 | 0.14 | 1500 | 0.7315 | 0.0899 |
| 0.5403 | 0.18 | 2000 | 0.7111 | 0.2276 |
| 1.2505 | 0.23 | 2500 | 0.6538 | 0.1042 |
| 0.7987 | 0.27 | 3000 | 0.6687 | 0.1228 |
| 0.3878 | 0.32 | 3500 | 0.6745 | 0.0879 |
| 0.4788 | 0.36 | 4000 | 0.7084 | 0.0781 |
| 0.449 | 0.41 | 4500 | 1.4491 | 0.3676 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.13.0
- Tokenizers 0.15.0
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- vision-encoder-decoder
- Created
- Feb 16, 2024
- Updated
- Feb 16, 2024