distilroberta-base-mrl

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

• Loss: 0.0170
• Accuracy: 0.9967
• F1: 0.9967

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: 2.1821851463909416e-05
• train_batch_size: 400
• eval_batch_size: 400
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 9

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	48	0.0265	0.9946	0.9946
No log	2.0	96	0.0180	0.9962	0.9962
No log	3.0	144	0.0163	0.9962	0.9962
No log	4.0	192	0.0194	0.9946	0.9946
No log	5.0	240	0.0193	0.9942	0.9942
No log	6.0	288	0.0172	0.9967	0.9967
No log	7.0	336	0.0206	0.9954	0.9954
No log	8.0	384	0.0183	0.9962	0.9962
No log	9.0	432	0.0170	0.9967	0.9967

Framework versions

• Transformers 4.18.0
• Pytorch 1.11.0+cu113
• Datasets 2.1.0
• Tokenizers 0.12.1