---
library_name: transformers
base_model: openai/clip-vit-large-patch14-336
tags:
- generated_from_trainer
model-index:
- name: clip-finetuned-csu-p14-336-e2l57-l
  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. -->

# clip-finetuned-csu-p14-336-e2l57-l

This model is a fine-tuned version of [openai/clip-vit-large-patch14-336](https://huggingface.co/openai/clip-vit-large-patch14-336) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0096

## 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: 128
- eval_batch_size: 8
- 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 |
|:-------------:|:------:|:-----:|:---------------:|
| 0.7207        | 0.0921 | 500   | 2.0785          |
| 0.702         | 0.1842 | 1000  | 2.0786          |
| 0.7058        | 0.2763 | 1500  | 2.0656          |
| 0.7117        | 0.3685 | 2000  | 2.1134          |
| 0.7163        | 0.4606 | 2500  | 2.0307          |
| 0.6794        | 0.5527 | 3000  | 2.6134          |
| 0.6818        | 0.6448 | 3500  | 2.0862          |
| 0.6693        | 0.7369 | 4000  | 2.0295          |
| 0.6798        | 0.8290 | 4500  | 2.1399          |
| 0.6915        | 0.9211 | 5000  | 2.0116          |
| 0.6623        | 1.0133 | 5500  | 2.1612          |
| 0.6803        | 1.1054 | 6000  | 2.0493          |
| 0.6729        | 1.1975 | 6500  | 2.0518          |
| 0.6851        | 1.2896 | 7000  | 2.0391          |
| 0.6686        | 1.3817 | 7500  | 2.0697          |
| 0.6637        | 1.4738 | 8000  | 2.0457          |
| 0.6331        | 1.5660 | 8500  | 2.1388          |
| 0.6529        | 1.6581 | 9000  | 2.0182          |
| 0.6377        | 1.7502 | 9500  | 2.0096          |
| 0.6207        | 1.8423 | 10000 | 2.0490          |
| 0.6626        | 1.9344 | 10500 | 2.0149          |


### Framework versions

- Transformers 4.45.0.dev0
- Pytorch 1.12.1
- Datasets 2.21.0
- Tokenizers 0.19.1