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idefics2-8b-vqa_rad-finetuned
rinogrego/idefics2-8b-vqa_rad-finetuned
idefics2-8b-vqa_rad-finetuned is a machine learning model from rinogrego. 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 Jul 7, 2024
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Jul 7, 2024
- Updated
- Jul 7, 2024
- SHA
- 5a34a887
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-vqa_rad-finetuned
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: 1.1974
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: 0.0003
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.3
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0095 | 1.1136 | 500 | 1.0882 |
| 2.1057 | 2.2272 | 1000 | 1.8082 |
| 1.416 | 3.3408 | 1500 | 1.4141 |
| 1.0619 | 4.4543 | 2000 | 1.1974 |
Framework versions
- Transformers 4.42.2
- Pytorch 2.3.1+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1
- License
- apache-2.0
- Created
- Jul 7, 2024
- Updated
- Jul 7, 2024