aoi_clip

sharkMeow/aoi_clip

aoi_clip is a machine learning model from sharkMeow. Use it for the machine learning task on the model card, and read the license before you ship it in a product.

should probably proofread and complete it, then remove this comment. --

Downloads · 30 days

0% of all-time downloads

All-time downloads

2.5K

Public

Parameters

291M

857 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors1.2 GB · 100%

At a glance

Model type: chinese_clip
Access: Public
Created: Aug 22, 2024
Updated: Aug 31, 2024
SHA: e0b2fa98

Base models

OFA-Sys/chinese-clip-vit-base-patch16

Model card

From the Hugging Face model README

aoi_clip

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: 5.5439

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: 150.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.2989	10.0	14790	6.2126
0.0626	20.0	29580	6.1552
0.0467	30.0	44370	6.0248
0.0383	40.0	59160	6.0260
0.0333	50.0	73950	5.9856
0.0301	60.0	88740	5.8489
0.0275	70.0	103530	5.8452
0.0255	80.0	118320	5.7286
0.0238	90.0	133110	5.6773
0.0225	100.0	147900	5.5744
0.0243	110.0	162690	5.6549
0.024	120.0	177480	5.5997
0.0227	130.0	192270	5.5604
0.0219	140.0	207060	5.5429
0.0217	150.0	221850	5.5439

Framework versions

Transformers 4.42.3
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Type: chinese_clip
Created: Aug 22, 2024
Updated: Aug 31, 2024