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train_half_V2 – AI Model by sharkMeow | AlphaNeural AI
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train_half_V2
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transformers
safetensors
chinese_clip
generated_from_trainer
OFA-Sys/chinese-clip-vit-base-patch16
finetune
endpoints_compatible
us
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train_half_V2
This model is a fine-tuned version of
OFA-Sys/chinese-clip-vit-base-patch16
on an unknown dataset.
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: 50
eval_batch_size: 20
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 200
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 100.0
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.50.0
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0
