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HVD_Roberta_Large_Upsampled – AI Model by aishanur | AlphaNeural AI
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HVD_Roberta_Large_Upsampled
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transformers
safetensors
roberta
text-classification
generated_from_trainer
FacebookAI/roberta-large
finetune
mit
autotrain_compatible
endpoints_compatible
us
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Human Value Detection Roberta Large with Upsampled Data
This model is a fine-tuned version of
FacebookAI/roberta-large
on the upsampled training data of the ValueML dataset.
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.2
num_epochs: 4
Framework versions
Transformers 4.37.2
Pytorch 2.3.0
Datasets 2.19.0
Tokenizers 0.15.1
