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clip-roberta-coco – AI Model by Rocketknight1 | AlphaNeural AI
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Rocketknight1
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clip-roberta-coco
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transformers
tf
vision-text-dual-encoder
feature-extraction
generated_from_keras_callback
ydshieh/coco_dataset_script
endpoints_compatible
us
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Rocketknight1/clip-roberta-coco
This model is a fine-tuned version of
on the ydshieh/coco_dataset_script 2017 dataset. It achieves the following results on the evaluation set:
Train Loss: 0.1749
Validation Loss: 1.6969
Epoch: 2
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:
optimizer: {'name': 'AdamWeightDecay', 'global_clipnorm': 1.0, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 27738, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.1}
training_precision: float32
Training results
Train Loss
Validation Loss
Epoch
0.6558
1.8089
0
0.3065
1.7544
1
0.1749
1.6969
2
Framework versions
Transformers 4.27.0.dev0
TensorFlow 2.11.0
Datasets 2.9.1.dev0
Tokenizers 0.13.2
