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metadata
base_model: vinai/phobert-base-v2
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
model-index:
  - name: PhoBERT-aug_replace_synonym-aug_insert_synonym
    results: []

PhoBERT-aug_replace_synonym-aug_insert_synonym

This model is a fine-tuned version of vinai/phobert-base-v2 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.3547
  • Accuracy: 0.68
  • F1: 0.6913

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: 8

Training results

Training Loss Epoch Step Validation Loss Accuracy F1
0.9028 1.0 87 0.7258 0.74 0.7349
0.5582 2.0 174 0.6444 0.72 0.7284
0.3667 3.0 261 0.7786 0.69 0.6991
0.2426 4.0 348 0.8821 0.74 0.7454
0.1647 5.0 435 1.1108 0.68 0.6874
0.1134 6.0 522 1.1951 0.7 0.7060
0.083 7.0 609 1.3578 0.67 0.6782
0.0704 8.0 696 1.3547 0.68 0.6913

Framework versions

  • Transformers 4.32.1
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4
  • Tokenizers 0.13.3