ngocmaichu/results

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

results

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

• —Loss: 0.0001
• —Model Preparation Time: 0.0032
• —Validation accuracy: 1.0
• —Validation precision: 1.0
• —Validation recall: 1.0
• —Validation f1 Score: 1.0
• —Validation tp: 4283
• —Validation fp: 0
• —Validation fn: 0
• —Validation tn: 4697

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: 0.0001
• —trainbatchsize: 32
• —evalbatchsize: 32
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 100
• —num_epochs: 2

Training results

Framework versions

• —Transformers 4.51.3
• —Pytorch 2.6.0+cu124
• —Datasets 3.5.1
• —Tokenizers 0.21.1