twiiter_try14_fold1

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

• Loss: 0.2012
• F1: 0.9785

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: 6e-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
0.2079	1.0	500	0.1033	0.9684
0.0718	2.0	1000	0.2648	0.9503
0.036	3.0	1500	0.1545	0.9709
0.0228	4.0	2000	0.1603	0.9741
0.0092	5.0	2500	0.2108	0.9674
0.0089	6.0	3000	0.1471	0.9775
0.0056	7.0	3500	0.1388	0.9789
0.0059	8.0	4000	0.1555	0.9805
0.0046	9.0	4500	0.1683	0.9783
0.0	10.0	5000	0.1767	0.9809
0.0022	11.0	5500	0.1801	0.9785
0.0	12.0	6000	0.1942	0.9785
0.0	13.0	6500	0.1912	0.9799
0.0	14.0	7000	0.1921	0.9799
0.0005	15.0	7500	0.2012	0.9785

Framework versions

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