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End of training
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README.md
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---
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base_model: openai/clip-vit-large-patch14
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: Psoriasis-Project-M-clip-vit-large-patch14
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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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# Psoriasis-Project-M-clip-vit-large-patch14
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This model is a fine-tuned version of [openai/clip-vit-large-patch14](https://huggingface.co/openai/clip-vit-large-patch14) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7655
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- Accuracy: 0.8125
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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: 5e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 64
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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_ratio: 0.1
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 0.92 | 6 | 8.7831 | 0.2917 |
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| 6.4844 | 2.0 | 13 | 3.2443 | 0.5417 |
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| 6.4844 | 2.92 | 19 | 1.4924 | 0.7708 |
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| 1.5554 | 4.0 | 26 | 0.6663 | 0.875 |
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| 0.2061 | 4.62 | 30 | 0.7655 | 0.8125 |
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.1.2
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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runs/Apr13_22-16-38_f297783aa45c/events.out.tfevents.1713046599.f297783aa45c.35.0
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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size 7687
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