---
library_name: transformers
base_model: openai/clip-vit-large-patch14
tags:
- generated_from_trainer
model-index:
- name: sail-clip-hendrix-10epochs
  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. -->

# sail-clip-hendrix-10epochs

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: 6.6413

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 4.0802        | 0.5525 | 100  | 4.0790          |
| 3.756         | 1.1050 | 200  | 3.8015          |
| 3.5546        | 1.6575 | 300  | 3.5559          |
| 3.0525        | 2.2099 | 400  | 3.4319          |
| 2.8911        | 2.7624 | 500  | 3.3547          |
| 2.2105        | 3.3149 | 600  | 3.3261          |
| 2.1826        | 3.8674 | 700  | 3.1662          |
| 1.575         | 4.4199 | 800  | 3.4461          |
| 1.5164        | 4.9724 | 900  | 3.2057          |
| 0.8215        | 5.5249 | 1000 | 4.0640          |
| 0.4965        | 6.0773 | 1100 | 5.4518          |
| 0.4627        | 6.6298 | 1200 | 4.9572          |
| 0.3134        | 7.1823 | 1300 | 5.4385          |
| 0.2787        | 7.7348 | 1400 | 5.5018          |
| 0.1514        | 8.2873 | 1500 | 5.9184          |
| 0.1919        | 8.8398 | 1600 | 6.4257          |
| 0.1198        | 9.3923 | 1700 | 6.5754          |
| 0.0896        | 9.9448 | 1800 | 6.6413          |


### Framework versions

- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.0
- Tokenizers 0.21.1