Human Value Detection
Collection
The models used in our submission for the Human Value Detection task of Touché for CLEF 2024.
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4 items
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Updated
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
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Model tree for aishanur/HVD_Roberta_Large_Upsampled
Base model
FacebookAI/roberta-large
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this model