all-distilroberta-v1-20240102

This model is a fine-tuned version of sentence-transformers/all-distilroberta-v1 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.1413
• F1: 0.8025
• Roc Auc: 0.8744
• Accuracy: 0.7687

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: 2e-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
• num_epochs: 11

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy
No log	1.0	109	0.2310	0.5875	0.7128	0.4305
No log	2.0	218	0.1775	0.7192	0.7950	0.5991
No log	3.0	327	0.1571	0.7654	0.8255	0.6604
No log	4.0	436	0.1499	0.7854	0.8516	0.7192
0.2013	5.0	545	0.1410	0.8000	0.8705	0.7593
0.2013	6.0	654	0.1413	0.8025	0.8744	0.7687
0.2013	7.0	763	0.1408	0.8018	0.8762	0.7731
0.2013	8.0	872	0.1454	0.7973	0.8753	0.7736
0.2013	9.0	981	0.1467	0.7966	0.8736	0.7692
0.0634	10.0	1090	0.1481	0.7928	0.8721	0.7672
0.0634	11.0	1199	0.1471	0.7945	0.8730	0.7692

Framework versions

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