financial-sentiment-model-5000-samples-fine-tune

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.2131
• Accuracy: 0.857
• F1: 0.857
• Mse: 0.296
• Mae: 0.194

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: linear
• num_epochs: 5

Training results

Framework versions

• Transformers 4.43.3
• Pytorch 2.3.1+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1