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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-lora-bfloat16-idefics2-8b-xrayvqa-finetuned-roco |
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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-lora-bfloat16-idefics2-8b-xrayvqa-finetuned-roco |
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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: 1.4709 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 10 |
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- total_train_batch_size: 80 |
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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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.3811 | 0.0680 | 50 | 1.5852 | |
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| 1.3546 | 0.1359 | 100 | 1.5141 | |
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| 1.3012 | 0.2039 | 150 | 1.5571 | |
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| 1.3035 | 0.2718 | 200 | 1.5795 | |
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| 1.3397 | 0.3398 | 250 | 1.5959 | |
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| 1.3092 | 0.4077 | 300 | 1.5243 | |
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| 1.3247 | 0.4757 | 350 | 1.5147 | |
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| 1.3035 | 0.5436 | 400 | 1.4985 | |
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| 1.347 | 0.6116 | 450 | 1.5187 | |
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| 1.2792 | 0.6795 | 500 | 1.5179 | |
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| 1.2825 | 0.7475 | 550 | 1.5464 | |
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| 1.3046 | 0.8154 | 600 | 1.4881 | |
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| 1.2838 | 0.8834 | 650 | 1.4943 | |
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| 1.2639 | 0.9513 | 700 | 1.5134 | |
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| 1.2119 | 1.0193 | 750 | 1.5082 | |
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| 0.9573 | 1.0873 | 800 | 1.4866 | |
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| 0.9336 | 1.1552 | 850 | 1.4962 | |
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| 0.9816 | 1.2232 | 900 | 1.4968 | |
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| 0.9159 | 1.2911 | 950 | 1.4953 | |
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| 0.9604 | 1.3591 | 1000 | 1.5154 | |
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| 0.9581 | 1.4270 | 1050 | 1.4999 | |
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| 0.9403 | 1.4950 | 1100 | 1.5007 | |
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| 0.9735 | 1.5629 | 1150 | 1.4754 | |
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| 0.9606 | 1.6309 | 1200 | 1.4703 | |
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| 0.9313 | 1.6988 | 1250 | 1.4776 | |
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| 0.924 | 1.7668 | 1300 | 1.4747 | |
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| 0.9283 | 1.8347 | 1350 | 1.4719 | |
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| 0.928 | 1.9027 | 1400 | 1.4701 | |
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| 0.9281 | 1.9706 | 1450 | 1.4709 | |
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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 2.19.0 |
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- Tokenizers 0.19.1 |
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