finetune_output

This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.1540
• Precision: 0.9636
• Recall: 0.9510
• F1: 0.9573
• Accuracy: 0.952

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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.3726	0.75	100	0.1531	0.9551	0.9467	0.9509	0.946
0.1662	1.49	200	0.1540	0.9636	0.9510	0.9573	0.952

Framework versions

• Transformers 4.32.1
• Pytorch 2.0.1+cu117
• Datasets 2.12.0
• Tokenizers 0.13.2