distilroberta-finetuned-bloomberg-classifier

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

distilroberta-finetuned-bloomberg-classifier

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.2983

Model description

DistilRoberta base finetuned on Bloomberg financial news.

Intended uses & limitations

Intended for analysis of financial articles and press releases in relation to sentiment of market

Training and evaluation data

Fine tuned on ~12,500 Bloomberg financial articles

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: 500
• num_epochs: 5

Training results

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.1+cpu
• Datasets 2.20.0
• Tokenizers 0.19.1