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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: gm-qlora-float16-idefics2-8b-midefics |
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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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# gm-qlora-float16-idefics2-8b-midefics |
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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: 0.6739 |
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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: 0.0001 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 10 |
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- total_train_batch_size: 20 |
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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_steps: 50 |
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- num_epochs: 2 |
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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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| 1.5316 | 0.2 | 38 | 0.7854 | |
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| 0.7931 | 0.4 | 76 | 0.7384 | |
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| 0.8019 | 0.6 | 114 | 0.7167 | |
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| 0.7487 | 0.8 | 152 | 0.6992 | |
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| 0.7416 | 1.0 | 190 | 0.6887 | |
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| 0.5919 | 1.2 | 228 | 0.6977 | |
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| 0.5819 | 1.4 | 266 | 0.6903 | |
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| 0.5948 | 1.6 | 304 | 0.6849 | |
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| 0.5858 | 1.8 | 342 | 0.6780 | |
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| 0.5539 | 2.0 | 380 | 0.6739 | |
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### Framework versions |
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- Transformers 4.41.0.dev0 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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