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gm-lora-bfloat16-idefics2-8b-xrayvqa-finetuned-mimic-report
gimarchetti/gm-lora-bfloat16-idefics2-8b-xrayvqa-finetuned-mimic-report
gm-lora-bfloat16-idefics2-8b-xrayvqa-finetuned-mimic-report 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 8, 2024
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- May 8, 2024
- Updated
- May 8, 2024
- SHA
- d987763d
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-mimic-report
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: 0.8581
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
- 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
- lr_scheduler_warmup_steps: 50
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1649 | 0.1932 | 50 | 0.8254 |
| 0.1768 | 0.3864 | 100 | 0.7980 |
| 0.1822 | 0.5796 | 150 | 0.7919 |
| 0.2301 | 0.7728 | 200 | 0.7679 |
| 0.2153 | 0.9660 | 250 | 0.7749 |
| 0.1555 | 1.1592 | 300 | 0.8227 |
| 0.1456 | 1.3524 | 350 | 0.8360 |
| 0.1407 | 1.5456 | 400 | 0.8407 |
| 0.1356 | 1.7388 | 450 | 0.8560 |
| 0.134 | 1.9320 | 500 | 0.8581 |
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 8, 2024
- Updated
- May 8, 2024