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