DA-FT-mrm8488-distilroberta-finetuned-financial-news-sentiment-analysis

This model is a fine-tuned version of NLP-FEUP/DA-mrm8488-distilroberta-finetuned-financial-news-sentiment-analysis on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.2830
• Accuracy: 0.875

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
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	40	0.3221	0.9
No log	2.0	80	0.2830	0.875
No log	3.0	120	0.3018	0.875

Framework versions

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