salohnana2018/OTE-ABSA-Qarib-DAPT-LABR-run1

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OTE-ABSA-Qarib-DAPT-LABR-run1

This model is a fine-tuned version of salohnana2018/Qarib-domianAdaption-OTE-ABSA-LABR on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.1353
• —Precision: 0.7645
• —Recall: 0.7762
• —F1: 0.7703
• —Accuracy: 0.9509

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: 3

Training results

Framework versions

• —Transformers 4.29.2
• —Pytorch 2.0.1+cu118
• —Datasets 2.12.0
• —Tokenizers 0.13.3