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extrapolation_length – AI Model by cringgaard | AlphaNeural AI
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extrapolation_length
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transformers
safetensors
clip
zero-shot-image-classification
generated_from_trainer
openai/clip-vit-large-patch14
finetune
endpoints_compatible
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extrapolation_length
This model is a fine-tuned version of
openai/clip-vit-large-patch14
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 8.8394
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: 64
eval_batch_size: 64
seed: 42
optimizer: Use 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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
3.9911
1.0
143
4.0915
3.5334
2.0
286
4.1939
2.5919
3.0
429
4.4430
1.2594
4.0
572
5.6924
0.3287
5.0
715
8.8394
Framework versions
Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 3.4.0
Tokenizers 0.21.1
