roberta-finetune-open-question

This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.7613
• Balanced weighted accuracy: 0.7674
• Mcc: 0.7837

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: 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_steps: 500
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Balanced weighted accuracy	Mcc
0.7591	1.0	304	0.8721	0.6565	0.6915
0.802	2.0	608	0.8703	0.7387	0.7258
0.3863	3.0	912	0.7613	0.7674	0.7837
0.3088	4.0	1216	0.8113	0.7972	0.7879
0.4292	5.0	1520	0.9155	0.7923	0.7961

Framework versions

• Transformers 4.40.1
• Pytorch 2.2.1+cu121
• Datasets 2.19.0
• Tokenizers 0.19.1