sharkMeow/aoi_clip_high_resolution_concate_fusin_gpt_random_sampler

<!-- 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. -->

<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>

aoicliphighresolutionconcatefusingptrandomsampler

This model is a fine-tuned version of OFA-Sys/chinese-clip-vit-base-patch16 on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 2.9963
• —Accuracy: 0.0500

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
• —trainbatchsize: 40
• —evalbatchsize: 20
• —seed: 42
• —gradientaccumulationsteps: 5
• —totaltrainbatch_size: 200
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 100.0
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.42.3
• —Pytorch 2.3.1+cu121
• —Datasets 2.20.0
• —Tokenizers 0.19.1