roberta_classification

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

• Loss: 0.6931

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: 15

Training results

Training Loss	Epoch	Step	Validation Loss
0.6884	1.0	3125	0.7034
0.6953	2.0	6250	0.6931
0.6901	3.0	9375	0.6980
0.6982	4.0	12500	0.6935
0.6963	5.0	15625	0.6935
0.6904	6.0	18750	0.6932
0.6876	7.0	21875	0.6932
0.7063	8.0	25000	0.6933
0.7211	9.0	28125	0.7049
0.6967	10.0	31250	0.6933
0.6903	11.0	34375	0.6932
0.6945	12.0	37500	0.6945
0.6899	13.0	40625	0.6932
0.6883	14.0	43750	0.6936
0.7075	15.0	46875	0.6931

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.0