twitter_xlm_robertta_sentiment_financial_news

This model is a fine-tuned version of cardiffnlp/twitter-xlm-roberta-base-sentiment on thishttps://huggingface.co/datasets/Jean-Baptiste/financial_news_sentiment_mixte_with_phrasebank_75 financial dataset. It achieves the following results on the evaluation set:

• Loss: 0.4492
• F1: 0.8812

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: 5e-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: 300
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.518	1.0	556	0.4881	0.8184
0.3534	2.0	1112	0.5041	0.8797
0.1781	3.0	1668	0.4492	0.8812

Framework versions

• Transformers 4.33.3
• Pytorch 2.0.1+cu117
• Datasets 2.14.5
• Tokenizers 0.13.1