sentiment_phobert

This model is a fine-tuned version of vinai/phobert-base-v2 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.4195
• Accuracy: 0.8330

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: 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
0.406	1.0	2958	0.4195	0.8330
0.3451	2.0	5916	0.4343	0.8351
0.2871	3.0	8874	0.4593	0.8393

Framework versions

• Transformers 4.29.2
• Pytorch 2.0.0+cu118
• Datasets 2.12.0
• Tokenizers 0.13.3