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flickr30k-pt-br-5ep – AI Model by turing552 | AlphaNeural AI
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flickr30k-pt-br-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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flickr30k-pt-br-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: 0.4179
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
0.2659
1.2887
500
0.5118
0.0907
2.5773
1000
0.4180
0.0501
3.8660
1500
0.4179
Framework versions
Transformers 4.44.2
Pytorch 2.5.1+cu124
Datasets 4.4.1
Tokenizers 0.19.1
