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clip-deepfashion-multimodal-5ep – AI Model by turing552 | AlphaNeural AI
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clip-deepfashion-multimodal-5ep
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transformers
pytorch
clip
zero-shot-image-classification
generated_from_trainer
openai/clip-vit-base-patch32
finetune
endpoints_compatible
us
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clip-deepfashion-multimodal-5ep
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: 0.5498
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-06
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
0.761
0.9276
500
0.7230
0.4862
1.8553
1000
0.5904
0.3208
2.7829
1500
0.5613
0.2304
3.7106
2000
0.5589
0.1748
4.6382
2500
0.5498
Framework versions
Transformers 4.44.2
Pytorch 2.5.1+cu124
Datasets 4.4.1
Tokenizers 0.19.1
