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clip-homer-2m – AI Model by bilbo991 | AlphaNeural AI
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bilbo991
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clip-homer-2m
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transformers
pytorch
tensorboard
vision-text-dual-encoder
feature-extraction
generated_from_trainer
endpoints_compatible
us
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clip-homer-2m
This model is a fine-tuned version of
clip-homer-2m
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5687
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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
1.4564
1.0
62500
1.1970
1.0737
2.0
125000
0.8098
0.6867
3.0
187500
0.5687
Framework versions
Transformers 4.32.0.dev0
Pytorch 2.0.1+cu117
Datasets 2.14.1
Tokenizers 0.13.3
