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

Psoriasis-Project-M-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: 1.4710
  • Accuracy: 0.8958

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: 15

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 0.92 6 1.8042 0.7917
0.1258 2.0 13 1.4387 0.8333
0.1258 2.92 19 2.5280 0.7292
0.0815 4.0 26 0.9424 0.8542
0.0493 4.62 30 0.8434 0.8542
No log 0.92 6 8.7831 0.2917
6.4844 2.0 13 3.2443 0.5417
6.4844 2.92 19 1.4924 0.7708
1.5554 4.0 26 0.6663 0.875
0.2061 4.62 30 0.7655 0.8125
No log 0.92 6 1.1418 0.8333
0.0506 2.0 13 2.5893 0.7292
0.0506 2.92 19 1.5925 0.7917
0.1137 4.0 26 1.3275 0.8958
0.0132 4.62 30 1.4710 0.8958

Framework versions

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