Human Value Detection
Collection
The models used in our submission for the Human Value Detection task of Touché for CLEF 2024.
•
4 items
•
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
- Downloads last month
- 6
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for aishanur/HVD_Roberta_Large_Upsampled
Base model
FacebookAI/roberta-large