---
base_model: OFA-Sys/chinese-clip-vit-base-patch16
tags:
- generated_from_trainer
model-index:
- name: aoi_clip_clean_new_sampler_fomula_clean
  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/knq0tg78)
# aoi_clip_clean_new_sampler_fomula_clean

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: 3.5840

## 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: 60.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.4036        | 6.0   | 8874  | 3.0113          |
| 2.1954        | 12.0  | 17748 | 3.1597          |
| 2.0709        | 18.0  | 26622 | 3.2060          |
| 2.0132        | 24.0  | 35496 | 3.3071          |
| 1.9783        | 30.0  | 44370 | 3.3543          |
| 1.9672        | 36.0  | 53244 | 3.4592          |
| 1.9536        | 42.0  | 62118 | 3.4736          |
| 1.9473        | 48.0  | 70992 | 3.5317          |
| 1.9479        | 54.0  | 79866 | 3.5620          |
| 1.9411        | 60.0  | 88740 | 3.5840          |


### Framework versions

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