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Clip-Soil-patch32 – AI Model by Hanhpt23 | AlphaNeural AI
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Clip-Soil-patch32
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safetensors
clip
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openai/clip-vit-base-patch32
finetune
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Clip-Soil-patch32
This model is a fine-tuned version of
openai/clip-vit-base-patch32
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 5.9887
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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 50.0
Training results
Framework versions
Transformers 4.41.2
Pytorch 2.0.0+cu117
Datasets 2.21.0
Tokenizers 0.19.1
