bertweet-large_2_4_2e-05_0.01

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

• Loss: 0.4839
• Accuracy: 0.9021
• F1: 0.8675
• Precision: 0.8754
• Recall: 0.8597

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: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.4682	1.0	2317	0.4096	0.8943	0.8554	0.8727	0.8388
0.1787	2.0	4634	0.4839	0.9021	0.8675	0.8754	0.8597

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.0
• Tokenizers 0.13.3