RoBERTa-MGT-Crossdomain

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

• Loss: 0.7562

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	2400	0.3634
No log	2.0	4800	0.5188
0.4912	3.0	7200	0.5234
0.4912	4.0	9600	0.4002
0.2956	5.0	12000	0.5178
0.2956	6.0	14400	0.4614
0.2048	7.0	16800	0.5688
0.2048	8.0	19200	0.7062
0.1194	9.0	21600	0.6674
0.1194	10.0	24000	0.7562

Framework versions

• Transformers 4.40.0
• Pytorch 2.3.0+cu121
• Datasets 2.19.2
• Tokenizers 0.19.1