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: 0.9679
Accuracy: 0.4844
F1: 0.5232
Precision: 0.5186
Recall: 0.5436

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
0.6162	1.0	607	0.7060	0.6096	0.5219	0.5977	0.5816
0.6188	2.0	1214	0.7061	0.6074	0.5241	0.5668	0.5931
0.6158	3.0	1821	0.7626	0.5935	0.5223	0.5325	0.5822
0.6077	4.0	2428	0.8325	0.5916	0.5283	0.5217	0.5974
0.5846	5.0	3035	0.9679	0.4844	0.5232	0.5186	0.5436

Framework versions

Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1

TungCan/tuning-sentiment-abp-v2.2

tuning-sentiment-abp-v2.2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

TungCan/
tuning-sentiment-abp-v2.2