domenicrosati/SPECTER-finetuned-review_classifier

<!-- 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. -->

SPECTER-finetuned-review_classifier

This model is a fine-tuned version of allenai/specter on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0645
• —Accuracy: 0.9801
• —F1: 0.8964
• —Recall: 0.8814
• —Precision: 0.9118

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: 4.5e-05
• —trainbatchsize: 12
• —evalbatchsize: 12
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 1000
• —num_epochs: 2
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.18.0
• —Pytorch 1.11.0
• —Datasets 2.1.0
• —Tokenizers 0.12.1