NLP-Sentiment-Analysis-Airline-Tweets-with-BERT-V2-tuning

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NLP-Sentiment-Analysis-Airline-Tweets-with-BERT-V2-tuning

This model is a fine-tuned version of mastikaui/NLP-Sentiment-Analysis-Airline-Tweets-with-BERT-V2 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.3128
• Accuracy: 0.8776
• F1 Score: 0.8775

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: cosine
• num_epochs: 20

Training results

Framework versions

• Transformers 4.41.0
• Pytorch 2.3.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1