roberta-large-finetuned-cosmos

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

• Loss: 1.3863
• Accuracy: 0.2533

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: 2
• eval_batch_size: 2
• 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
1.39	1.0	12631	1.3863	0.2586
1.3956	2.0	25262	1.3863	0.2563
1.3902	3.0	37893	1.3863	0.2533

Framework versions

• Transformers 4.32.1
• Pytorch 2.1.1+cu121
• Datasets 2.12.0
• Tokenizers 0.13.2