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sharkMeow/
sentance_split_by_aoi_ocr_None

Name: sentance_split_by_aoi_ocr_None
Availability: InStock

safetensors

chinese_clip

generated_from_trainer

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

finetune

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sentance_split_by_aoi_ocr_None

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: 3.4763
Accuracy: 0.1930

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
1.2383	5.9676	276	2.6388	0.2417
0.9769	11.9351	552	2.8174	0.2247
0.8157	17.9027	828	3.1486	0.2148
0.7322	23.8703	1104	3.3020	0.2080
0.6777	29.8378	1380	3.3933	0.2026
0.6466	35.8054	1656	3.4181	0.1997
0.6272	41.7730	1932	3.4365	0.1975
0.6188	47.7405	2208	3.4670	0.1956
0.6052	53.7081	2484	3.4625	0.1946
0.6049	59.6757	2760	3.4763	0.1937

Framework versions

Transformers 4.42.3
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

sharkMeow/sentance_split_by_aoi_ocr_None

sentance_split_by_aoi_ocr_None

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

sharkMeow/
sentance_split_by_aoi_ocr_None