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
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
No log	1.0	313	0.3317	0.8667	0.8728	0.8306	0.9196
0.3554	2.0	626	0.2959	0.885	0.8846	0.8831	0.8861

Framework versions

Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0

easwar03/legal-bert-sentiment-small-10000

legal-bert-sentiment-small-10000

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

easwar03/
legal-bert-sentiment-small-10000