salohnana2018/OTE-NoDapt-ABSA-bert-base-MARBERTv2-DefultHp-FineTune

<!-- 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. -->

OTE-NoDapt-ABSA-bert-base-MARBERTv2-DefultHp-FineTune

This model is a fine-tuned version of UBC-NLP/MARBERTv2 on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.1711
• —Precision: 0.7538
• —Recall: 0.7902
• —F1: 0.7716
• —Accuracy: 0.9536

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
• —trainbatchsize: 32
• —evalbatchsize: 8
• —seed: 25
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 5

Training results

Framework versions

• —Transformers 4.31.0
• —Pytorch 2.0.1+cu118
• —Datasets 2.14.3
• —Tokenizers 0.13.3