This model is a fine-tuned version of bert-base-cased on the rotten_tomatoes_movie_review dataset. It achieves the following results on the evaluation set:

Loss: 0.1022
Accuracy: 0.9756
F1: 0.9756

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: 2e-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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.595	1.0	34	0.3926	0.8780	0.8780
0.3767	2.0	68	0.2374	0.9390	0.9390
0.273	3.0	102	0.1522	0.9615	0.9615
0.1597	4.0	136	0.1154	0.9719	0.9719
0.1348	5.0	170	0.1022	0.9756	0.9756

Framework versions

Transformers 4.16.2
Pytorch 2.1.0+cu121
Datasets 1.16.1
Tokenizers 0.15.0

zebans/bert-base-cased-finetuned-rotten-tomatoes-epochs-5

bert-base-cased-finetuned-rotten-tomatoes-epochs-5

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

zebans/
bert-base-cased-finetuned-rotten-tomatoes-epochs-5