phobert_45k_boduoi_test10k

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phobert_45k_boduoi_test10k

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: 0.5252
• Accuracy: 0.8625
• F1: 0.8650

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: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine_with_restarts
• num_epochs: 10

Training results

Framework versions

• Transformers 4.37.2
• Pytorch 2.1.2
• Datasets 2.19.1
• Tokenizers 0.15.2