Financial_estricto_2e-5_16_2

This model is a fine-tuned version of ahmedrachid/FinancialBERT-Sentiment-Analysis on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.3930
• Accuracy: 0.8355

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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	400	0.4219	0.8143
0.4884	2.0	800	0.3930	0.8355

Framework versions

• Transformers 4.29.0
• Pytorch 1.13.1+cu117
• Datasets 2.12.0
• Tokenizers 0.13.3