---
library_name: transformers
base_model: openai/clip-vit-large-patch14
tags:
- generated_from_trainer
model-index:
- name: sail-clip
  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

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: 2.0815

## 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 OptimizerNames.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: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 4.8985        | 0.0552 | 10   | 4.0903          |
| 4.1607        | 0.1105 | 20   | 3.9977          |
| 3.9999        | 0.1657 | 30   | 3.8481          |
| 3.7439        | 0.2210 | 40   | 3.6745          |
| 3.6873        | 0.2762 | 50   | 3.5240          |
| 3.4241        | 0.3315 | 60   | 3.2912          |
| 3.2521        | 0.3867 | 70   | 3.1707          |
| 3.0498        | 0.4420 | 80   | 2.9794          |
| 2.9275        | 0.4972 | 90   | 2.8728          |
| 2.8409        | 0.5525 | 100  | 2.6969          |
| 2.6954        | 0.6077 | 110  | 2.6175          |
| 2.5344        | 0.6630 | 120  | 2.5060          |
| 2.5042        | 0.7182 | 130  | 2.4477          |
| 2.2965        | 0.7735 | 140  | 2.3057          |
| 2.3179        | 0.8287 | 150  | 2.2107          |
| 2.2797        | 0.8840 | 160  | 2.1689          |
| 2.0838        | 0.9392 | 170  | 2.1016          |
| 1.9926        | 0.9945 | 180  | 2.0815          |


### Framework versions

- Transformers 4.49.0
- Pytorch 2.5.1+cu118
- Datasets 3.2.0
- Tokenizers 0.21.0