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idefics2-8b-docvqa-finetuned-tutorial
ddidiadiandiana/idefics2-8b-docvqa-finetuned-tutorial
idefics2-8b-docvqa-finetuned-tutorial is a machine learning model from ddidiadiandiana. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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Public
Updated May 13, 2024
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- May 12, 2024
- Updated
- May 13, 2024
- SHA
- bb40b93e
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. -->
idefics2-8b-docvqa-finetuned-tutorial
This model is a fine-tuned version of HuggingFaceM4/idefics2-8b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2937
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: 0.0001
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2851 | 0.9997 | 1162 | 0.3398 |
| 0.2142 | 1.9994 | 2324 | 0.2937 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- License
- apache-2.0
- Created
- May 12, 2024
- Updated
- May 13, 2024