tradepulse-finbert-prod

This model is a fine-tuned version of yiyanghkust/finbert-tone on the None dataset. It achieves the following results on the evaluation set:

• Loss: 9.4917
• Accuracy: 0.0
• Precision: 0.0
• Recall: 0.0
• F1: 0.0

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 5
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
No log	1.0	3	13.7030	0.0	0.0	0.0	0.0
No log	2.0	6	11.3165	0.0	0.0	0.0	0.0
No log	3.0	9	9.4917	0.0	0.0	0.0	0.0

Framework versions

• Transformers 4.41.0
• Pytorch 2.7.1+cpu
• Datasets 2.19.1
• Tokenizers 0.19.1