This model is a fine-tuned version of allegro/herbert-base-cased on the polemo2-official dataset. It achieves the following results on the evaluation set:

Loss: 0.3520
Accuracy: 0.8951

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: 16
eval_batch_size: 16
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.3688	1.0	411	0.2971	0.8805
0.2472	2.0	822	0.2747	0.9061
0.1286	3.0	1233	0.3520	0.8951

Framework versions

Transformers 4.46.3
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3

mongrz/sentiment_class6

results

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

mongrz/
sentiment_class6