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: 0.1393
Accuracy: 0.9672
F1: 0.9672

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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.3186	1.0	34	0.1948	0.9484	0.9484
0.1837	2.0	68	0.1393	0.9672	0.9672

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-2

bert-base-cased-finetuned-rotten-tomatoes-epochs-2

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-2