all-roberta-large-v1-banking-11-16-5

This model is a fine-tuned version of sentence-transformers/all-roberta-large-v1 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.7470
• Accuracy: 0.0756

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: 48
• eval_batch_size: 48
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.8182	1.0	1	2.7709	0.0356
2.6751	2.0	2	2.7579	0.0578
2.5239	3.0	3	2.7509	0.0622
2.4346	4.0	4	2.7470	0.0756
2.4099	5.0	5	2.7452	0.0756

Framework versions

• Transformers 4.24.0
• Pytorch 1.12.1
• Datasets 2.3.2
• Tokenizers 0.12.1