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git-base-pokemon
geshijoker/git-base-pokemon
git-base-pokemon is a image-text-to-text model from geshijoker. 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. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Image-Text-to-Text
- Library
- transformers
- License
- mit
- Model type
- git
- Access
- Public
- Created
- Aug 27, 2024
- Updated
- Aug 27, 2024
- SHA
- 296c76f2
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Base models
Datasets
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. -->
git-base-pokemon
This model is a fine-tuned version of microsoft/git-base on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.1599
- Wer Score: 5.0450
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Score |
|---|---|---|---|---|
| 7.1299 | 12.5 | 50 | 4.6555 | 17.9965 |
| 2.9648 | 25.0 | 100 | 1.3396 | 9.0415 |
| 0.714 | 37.5 | 150 | 0.2845 | 7.8824 |
| 0.1933 | 50.0 | 200 | 0.1599 | 5.0450 |
Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.2.1+cu118
- Datasets 2.19.2
- Tokenizers 0.19.1
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- git
- License
- mit
- Created
- Aug 27, 2024
- Updated
- Aug 27, 2024