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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# Psoriasis-Project-M-clip-vit-large-patch14

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.
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