roberta-base_financial_phrasebank

This model is a fine-tuned version of roberta-base on the financial_phrasebank dataset. It achieves the following results on the evaluation set:

• Loss: 0.2154

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: 500
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
0.1676	1.0	227	0.3128
0.1058	2.0	454	0.2652
0.0911	3.0	681	0.2145
0.0009	4.0	908	0.2190
0.0007	5.0	1135	0.2154

Framework versions

• Transformers 4.34.1
• Pytorch 2.1.0
• Datasets 2.14.6
• Tokenizers 0.14.1