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project-uspto – AI Model by moonahhyun | AlphaNeural AI
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project-uspto
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transformers
pytorch
tensorboard
roberta
text-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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project-uspto
This model is a fine-tuned version of
roberta-base
on HUPD dataset. It achieves the following results on the evaluation set:
Loss: 0.4697
Accuracy: 0.8003
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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.4911
1.0
545
0.4736
0.7964
0.4744
2.0
1090
0.4697
0.8003
Framework versions
Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3
