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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-path_vqa-finetuned-tutorial |
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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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# idefics2-8b-path_vqa-finetuned-tutorial |
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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: 1.0688 |
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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: 8 |
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- total_train_batch_size: 16 |
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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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| 6.0779 | 0.16 | 10 | 3.3574 | |
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| 2.0221 | 0.32 | 20 | 1.2580 | |
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| 1.0361 | 0.48 | 30 | 1.0355 | |
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| 0.7289 | 0.64 | 40 | 1.0705 | |
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| 0.6758 | 0.8 | 50 | 1.0496 | |
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| 0.5689 | 0.96 | 60 | 1.0893 | |
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| 0.4038 | 1.12 | 70 | 1.1230 | |
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| 0.3773 | 1.28 | 80 | 1.0498 | |
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| 0.3227 | 1.44 | 90 | 1.1104 | |
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| 0.2934 | 1.6 | 100 | 1.0788 | |
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| 0.2968 | 1.76 | 110 | 1.0667 | |
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| 0.3099 | 1.92 | 120 | 1.0688 | |
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### Framework versions |
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- Transformers 4.42.0.dev0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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