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--- |
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license: other |
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base_model: HuggingFaceM4/idefics-9b |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: idefics-9b-ft-floco |
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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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# idefics-9b-ft-floco |
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This model is a fine-tuned version of [HuggingFaceM4/idefics-9b](https://huggingface.co/HuggingFaceM4/idefics-9b) on FloCo dataset. |
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It achieves the following results on the **test set**: |
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- Loss: 0.724 |
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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: 0.0002 |
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- train_batch_size: 4 |
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- eval_batch_size: 8 |
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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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- num_epochs: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.592 | 0.2 | 500 | 0.9356 | |
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| 0.5495 | 0.4 | 1000 | 1.0233 | |
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| 0.4865 | 0.59 | 1500 | 0.9564 | |
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| 0.4604 | 0.79 | 2000 | 0.9482 | |
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| 0.4551 | 0.99 | 2500 | 0.9146 | |
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| 0.3767 | 1.19 | 3000 | 0.9261 | |
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| 0.3894 | 1.39 | 3500 | 0.9387 | |
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| 0.3772 | 1.58 | 4000 | 0.9268 | |
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| 0.2707 | 1.78 | 4500 | 0.9420 | |
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| 0.3411 | 1.98 | 5000 | 0.9423 | |
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### Framework versions |
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- Transformers 4.33.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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