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sharkMeow/
aoi_clip_high_resolution_concate_fusin_gpt

Name: aoi_clip_high_resolution_concate_fusin_gpt
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_gpt

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: 4.2052
Accuracy: 0.0731

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: 20
seed: 42
gradient_accumulation_steps: 5
total_train_batch_size: 200
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 100.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.3923	9.9872	3110	3.0972	0.0765
2.1272	19.9743	6220	3.5858	0.0782
1.9949	29.9615	9330	3.6033	0.0785
1.957	39.9486	12440	3.7208	0.0769
1.9313	49.9358	15550	3.8174	0.0759
1.9255	59.9229	18660	3.9145	0.0748
1.9179	69.9101	21770	4.0367	0.0746
1.9133	79.8972	24880	4.0690	0.0740
1.9102	89.8844	27990	4.1227	0.0737
1.9084	99.8715	31100	4.2052	0.0734

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_gpt

aoi_clip_high_resolution_concate_fusin_gpt

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

sharkMeow/
aoi_clip_high_resolution_concate_fusin_gpt