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sharkMeow/
aoi_clip_high_resolution_concate_fusin_crop_each_text_512

Name: aoi_clip_high_resolution_concate_fusin_crop_each_text_512
Availability: InStock

safetensors

chinese_clip

generated_from_trainer

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

finetune

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aoi_clip_high_resolution_concate_fusin_crop_each_text_512

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: 3.5539
Accuracy: 0.0669

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: 15
eval_batch_size: 20
seed: 42
gradient_accumulation_steps: 14
total_train_batch_size: 210
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	Accuracy
1.5814	6.0	1530	3.0257	0.0726
1.4807	12.0	3060	3.2677	0.0712
1.4075	18.0	4590	3.3332	0.0703
1.3618	24.0	6120	3.2491	0.0692
1.3396	30.0	7650	3.3756	0.0690
1.3298	36.0	9180	3.5386	0.0678
1.324	42.0	10710	3.5245	0.0675
1.3177	48.0	12240	3.5136	0.0671
1.3181	54.0	13770	3.4984	0.0669
1.3117	60.0	15300	3.5539	0.0669

Framework versions

Transformers 4.42.3
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

sharkMeow/aoi_clip_high_resolution_concate_fusin_crop_each_text_512

aoi_clip_high_resolution_concate_fusin_crop_each_text_512

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

sharkMeow/
aoi_clip_high_resolution_concate_fusin_crop_each_text_512