---
base_model: openai/clip-vit-base-patch32
tags:
- generated_from_trainer
model-index:
- name: clip-hugging-face-finetuned
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/bileldjemel/uncategorized/runs/177k4eh6)
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/bileldjemel/uncategorized/runs/a2qvi3xp)
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/bileldjemel/uncategorized/runs/pjcrmiwx)
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/bileldjemel/uncategorized/runs/w2pmkyr9)
# clip-hugging-face-finetuned

This model is a fine-tuned version of [openai/clip-vit-base-patch32](https://huggingface.co/openai/clip-vit-base-patch32) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000

## 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: 0.0
- train_batch_size: 3
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0002        | 0.25  | 1    | 0.0000          |
| 0.0011        | 0.5   | 2    | 0.0000          |
| 0.0           | 0.75  | 3    | 0.0000          |
| 0.0           | 1.0   | 4    | 0.0000          |
| 0.0           | 1.25  | 5    | 0.0000          |
| 0.1114        | 1.5   | 6    | 0.0000          |
| 0.0027        | 1.75  | 7    | 0.0000          |
| 0.0           | 2.0   | 8    | 0.0000          |


### Framework versions

- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1