---
base_model: OFA-Sys/chinese-clip-vit-base-patch16
tags:
- generated_from_trainer
model-index:
- name: aoi_clip_clean_new_sampler
  results: []
---

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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/shark_meow_team/huggingface/runs/5wmznry9)
# aoi_clip_clean_new_sampler

This model is a fine-tuned version of [OFA-Sys/chinese-clip-vit-base-patch16](https://huggingface.co/OFA-Sys/chinese-clip-vit-base-patch16) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.8199

## 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: 1e-05
- train_batch_size: 40
- eval_batch_size: 44
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 120.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 2.3088        | 12.0  | 17748  | 3.1875          |
| 2.0566        | 24.0  | 35496  | 3.3424          |
| 1.9815        | 36.0  | 53244  | 3.4545          |
| 1.9566        | 48.0  | 70992  | 3.5668          |
| 1.9488        | 60.0  | 88740  | 3.5229          |
| 1.9424        | 72.0  | 106488 | 3.6771          |
| 1.9411        | 84.0  | 124236 | 3.7868          |
| 1.9388        | 96.0  | 141984 | 3.7067          |
| 1.9352        | 108.0 | 159732 | 3.8508          |
| 1.9318        | 120.0 | 177480 | 3.8199          |


### Framework versions

- Transformers 4.42.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1