This model is a fine-tuned version of 5CD-AI/Vietnamese-Sentiment-visobert on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.5678
Accuracy: 0.8153
F1: 0.8137
Precision: 0.8548
Recall: 0.8001

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: 64
seed: 42
optimizer: Use OptimizerNames.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: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.4963	1.0	799	0.4323	0.8203	0.8122	0.8699	0.7992
0.3918	2.0	1598	0.4477	0.8223	0.8175	0.8720	0.7997
0.3535	3.0	2397	0.4750	0.8223	0.8157	0.8747	0.8001
0.3221	4.0	3196	0.5362	0.8176	0.8150	0.8585	0.8001
0.3041	5.0	3995	0.5678	0.8153	0.8137	0.8548	0.8001

Framework versions

Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1

TungCan/tuning-sentiment-abp-pos

tuning-sentiment-abp-pos

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

TungCan/
tuning-sentiment-abp-pos