financial-twhin-bert-large-3labels-pesudo-bb-only

This model is a fine-tuned version of Twitter/twhin-bert-large on finance-related tweets. It achieves the following results on the evaluation set:

• Loss: 0.4379
• Accuracy: 0.8847
• F1: 0.8857

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: 3.812006227593217e-05
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.5859	1.0	2283	1.5711	0.2039	0.0800
0.1601	2.0	4566	0.4379	0.8847	0.8857
0.0875	3.0	6849	0.5111	0.8854	0.8868

Framework versions

• Transformers 4.37.2
• Pytorch 2.1.0+cu121
• Datasets 2.17.1
• Tokenizers 0.15.2