twiiter_try15_fold4

This model is a fine-tuned version of ProsusAI/finbert on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.1791
• F1: 0.9805

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: 3e-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: 15

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.2113	1.0	500	0.1149	0.9642
0.0638	2.0	1000	0.1456	0.9646
0.0179	3.0	1500	0.1507	0.9737
0.0171	4.0	2000	0.1835	0.9737
0.0096	5.0	2500	0.2713	0.9613
0.0072	6.0	3000	0.2221	0.9695
0.0073	7.0	3500	0.1639	0.9775
0.0049	8.0	4000	0.2184	0.9737
0.0018	9.0	4500	0.2568	0.9723
0.0062	10.0	5000	0.2106	0.9753
0.0001	11.0	5500	0.2204	0.9763
0.0	12.0	6000	0.2195	0.9761
0.0015	13.0	6500	0.1732	0.9795
0.0	14.0	7000	0.1739	0.9810
0.0011	15.0	7500	0.1791	0.9805

Framework versions

• Transformers 4.28.0
• Pytorch 2.0.1+cu118
• Datasets 2.12.0
• Tokenizers 0.13.3