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README.md
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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 fine-tuned on FloCo Dataset
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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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