BERTweet_retrain_2023_01

This model is a fine-tuned version of vinai/bertweet-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.4946

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
2.7819	1.0	6079	2.5909
2.6623	2.0	12158	2.5166
2.5259	3.0	18237	2.4916

Framework versions

• Transformers 4.45.1
• Pytorch 2.1.0+cu121
• Datasets 3.0.1
• Tokenizers 0.20.0