| --- |
| license: apache-2.0 |
| base_model: HuggingFaceM4/idefics2-8b |
| tags: |
| - trl |
| - sft |
| - generated_from_trainer |
| model-index: |
| - name: vsft-idefics2 |
| results: [] |
| --- |
| |
| <!-- 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. --> |
|
|
| # vsft-idefics2 |
|
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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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| ## 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: |
| - learning_rate: 1.4e-05 |
| - train_batch_size: 4 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - num_devices: 8 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 64 |
| - total_eval_batch_size: 64 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 1.0 |
| - mixed_precision_training: Native AMP |
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| ### Training results |
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| ### Framework versions |
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| - Transformers 4.40.0.dev0 |
| - Pytorch 2.2.2+cu121 |
| - Datasets 2.18.0 |
| - Tokenizers 0.15.2 |
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