distilroberta_science_multiple_choice

This model is a fine-tuned version of irfanamal/distilroberta_multiple_choice on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.1923
• Accuracy: 0.45

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-06
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 100

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.2589	1.0	12	1.1957	0.55
1.2856	2.0	24	1.1913	0.45
1.2456	3.0	36	1.1908	0.5
1.1753	4.0	48	1.1888	0.45
1.0941	5.0	60	1.1850	0.45
1.0795	6.0	72	1.1764	0.45
1.0242	7.0	84	1.1655	0.45
0.9576	8.0	96	1.1558	0.45
0.9271	9.0	108	1.1604	0.45
0.9047	10.0	120	1.1748	0.45
0.9025	11.0	132	1.1783	0.45
0.782	12.0	144	1.1787	0.45
0.8003	13.0	156	1.1923	0.45

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu117
• Datasets 2.14.4
• Tokenizers 0.13.3