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sharkMeow/
sentance_split_by_aoi_gpt_add

Name: sentance_split_by_aoi_gpt_add
Availability: InStock

safetensors

chinese_clip

generated_from_trainer

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

finetune

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sentance_split_by_aoi_gpt_add

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: 3.5837
Accuracy: 0.1044

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: 25
eval_batch_size: 20
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 200
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
1.168	5.9676	276	2.9707	0.1067
0.8242	11.9351	552	3.4872	0.0994
0.639	17.9027	828	3.5071	0.0965
0.5825	23.8703	1104	3.5619	0.0994
0.5449	29.8378	1380	3.5003	0.0994
0.5257	35.8054	1656	3.4785	0.1019
0.512	41.7730	1932	3.4630	0.1020
0.5039	47.7405	2208	3.5130	0.1036
0.492	53.7081	2484	3.5763	0.1038
0.4922	59.6757	2760	3.5837	0.1041

Framework versions

Transformers 4.42.3
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

sharkMeow/sentance_split_by_aoi_gpt_add

sentance_split_by_aoi_gpt_add

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

sharkMeow/
sentance_split_by_aoi_gpt_add