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UIT-VSFC-PhoBert-CLSModel-v1 – AI Model by haihuynh | AlphaNeural AI
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haihuynh
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UIT-VSFC-PhoBert-CLSModel-v1
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transformers
safetensors
roberta
text-classification
generated_from_trainer
vinai/phobert-base
finetune
autotrain_compatible
endpoints_compatible
us
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UIT-VSFC-PhoBert-CLSModel-v1
This model is a fine-tuned version of
vinai/phobert-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2107
Accuracy: 0.9400
F1: 0.8137
Precision: 0.8659
Recall: 0.7848
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: 128
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
No log
1.0
90
0.3109
0.9154
0.6245
0.6099
0.6398
No log
2.0
180
0.2242
0.9337
0.7738
0.8546
0.7438
No log
3.0
270
0.2107
0.9400
0.8137
0.8659
0.7848
Framework versions
Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.19.1
