roberta-large-finetuned-race_ft-multilple-choice-enem

This model is a fine-tuned version of LIAMF-USP/roberta-large-finetuned-race on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.6094
• Accuracy: 0.1984

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: 1
• eval_batch_size: 1
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.7081	1.0	933	1.6094	0.1823
1.6471	2.0	1866	1.6094	0.2064
1.6607	3.0	2799	1.6094	0.1984

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu118
• Datasets 2.15.0
• Tokenizers 0.15.0