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gm-lora-bfloat16-idefics2-8b-xrayvqa-finetuned-medir
gimarchetti/gm-lora-bfloat16-idefics2-8b-xrayvqa-finetuned-medir
gm-lora-bfloat16-idefics2-8b-xrayvqa-finetuned-medir is a machine learning model from gimarchetti. 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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Updated May 6, 2024
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- May 6, 2024
- Updated
- May 6, 2024
- SHA
- c228e96d
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. -->
gm-lora-bfloat16-idefics2-8b-xrayvqa-finetuned-medir
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: 1.6893
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 10
- total_train_batch_size: 80
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0712 | 0.1529 | 50 | 1.4681 |
| 1.1045 | 0.3057 | 100 | 1.4921 |
| 1.1032 | 0.4586 | 150 | 1.4891 |
| 1.1182 | 0.6114 | 200 | 1.4860 |
| 1.3049 | 0.7643 | 250 | 1.4402 |
| 1.4376 | 0.9172 | 300 | 1.4256 |
| 1.2084 | 1.0700 | 350 | 1.5379 |
| 0.8495 | 1.2229 | 400 | 1.5216 |
| 0.8827 | 1.3757 | 450 | 1.5241 |
| 0.8995 | 1.5286 | 500 | 1.5431 |
| 0.8939 | 1.6814 | 550 | 1.5198 |
| 0.9077 | 1.8343 | 600 | 1.5106 |
| 0.9128 | 1.9872 | 650 | 1.5176 |
| 0.5954 | 2.1400 | 700 | 1.6831 |
| 0.569 | 2.2929 | 750 | 1.6783 |
| 0.5578 | 2.4457 | 800 | 1.6861 |
| 0.5624 | 2.5986 | 850 | 1.6859 |
| 0.5754 | 2.7515 | 900 | 1.6907 |
| 0.5582 | 2.9043 | 950 | 1.6893 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- License
- apache-2.0
- Created
- May 6, 2024
- Updated
- May 6, 2024