This model is a fine-tuned version of microsoft/MiniLM-L12-H384-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.8368
F1: 0.6564

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: 8
eval_batch_size: 8
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	F1
0.9048	0.5	500	0.8963	0.6318
0.8732	1.0	1000	0.8611	0.6437
0.8592	1.5	1500	0.9093	0.6486
0.8314	2.01	2000	0.8242	0.6542
0.8114	2.51	2500	0.8368	0.6564

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3

gArthur98/Greg-Sentiment-classifier

Greg-Sentiment-classifier

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

gArthur98/
Greg-Sentiment-classifier