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---
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license: apache-2.0
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base_model: HuggingFaceM4/idefics2-8b
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tags:
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- generated_from_trainer
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model-index:
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- name: idefics2-8b-vqa_rad-finetuned
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/rinogrego/VLM-Fine-tuning/runs/lmrxcnn9)
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# idefics2-8b-vqa_rad-finetuned
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This model is a fine-tuned version of [HuggingFaceM4/idefics2-8b](https://huggingface.co/HuggingFaceM4/idefics2-8b) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1974
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0003
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- train_batch_size: 4
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- eval_batch_size: 2
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.3
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- num_epochs: 5
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.0095 | 1.1136 | 500 | 1.0882 |
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| 2.1057 | 2.2272 | 1000 | 1.8082 |
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| 1.416 | 3.3408 | 1500 | 1.4141 |
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| 1.0619 | 4.4543 | 2000 | 1.1974 |
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### Framework versions
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- Transformers 4.42.2
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- Pytorch 2.3.1+cu118
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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