easwar03/legal-bert-sentiment-small-10000

<!-- 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. -->

legal-bert-sentiment-small-10000

This model is a fine-tuned version of nlpaueb/legal-bert-small-uncased on the imdb dataset with 10000 train samples and 1200 test samples.. It achieves the following results on the evaluation set:

• —Loss: 0.2959
• —Accuracy: 0.885
• —F1: 0.8846
• —Precision: 0.8831
• —Recall: 0.8861

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: 32
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 2
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.45.1
• —Pytorch 2.4.0
• —Datasets 3.0.1
• —Tokenizers 0.20.0