cls-comment-phobert-base-v2-v3.1

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:

• eval_loss: 0.7125
• eval_accuracy: 0.9121
• eval_f1_score: 0.8764
• eval_recall: 0.8800
• eval_precision: 0.8756
• eval_runtime: 6.6382
• eval_samples_per_second: 548.19
• eval_steps_per_second: 8.587
• epoch: 28.07
• step: 3200

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: 1e-05
• train_batch_size: 64
• eval_batch_size: 64
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• training_steps: 4000
• label_smoothing_factor: 0.1

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2