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metadata
base_model: openai/clip-vit-large-patch14
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: Psoriasis-Project-Aug-M2-clip-vit-large-patch14
    results: []

Psoriasis-Project-Aug-M2-clip-vit-large-patch14

This model is a fine-tuned version of openai/clip-vit-large-patch14 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1909
  • Accuracy: 0.9792

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 5e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.2543 0.99 36 0.3882 0.8958
0.1173 1.99 72 0.3922 0.875
0.1009 2.98 108 0.1557 0.9583
0.0219 4.0 145 0.2041 0.9792
0.0006 4.97 180 0.1909 0.9792

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.1.2
  • Datasets 2.18.0
  • Tokenizers 0.15.2