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phobert-vietnamese-sentiment – AI Model by Jaykl2910 | AlphaNeural AI
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phobert-vietnamese-sentiment
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transformers
safetensors
roberta
text-classification
generated_from_trainer
vinai/phobert-base-v2
finetune
agpl-3.0
endpoints_compatible
us
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phobert-vietnamese-sentiment
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: 0.2211
Accuracy: 0.9378
F1 Macro: 0.8704
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: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1 Macro
0.2055
1.0
644
0.2008
0.9238
0.8400
0.1199
2.0
1288
0.1873
0.9409
0.8689
0.0876
3.0
1932
0.2211
0.9378
0.8704
Framework versions
Transformers 5.14.1
Pytorch 2.11.0+cu128
Datasets 5.0.0
Tokenizers 0.22.2
