This model is a fine-tuned version of lyrisha/bert-finetuned-imdb-sentiment on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.3409
Accuracy: 0.9174

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.168	1.0	2105	0.2524	0.9197
0.107	2.0	4210	0.3079	0.9140
0.0693	3.0	6315	0.3409	0.9174

Framework versions

Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1

lyrisha/bert-finetuned-sentiment

bert-finetuned-sentiment

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

lyrisha/
bert-finetuned-sentiment