twiiter_try15_fold0

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

• Loss: 0.2122
• F1: 0.9766

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
0.2209	1.0	500	0.1609	0.9642
0.0596	2.0	1000	0.1312	0.9705
0.0274	3.0	1500	0.1583	0.9746
0.0128	4.0	2000	0.1524	0.9784
0.0098	5.0	2500	0.1748	0.9784
0.0101	6.0	3000	0.1385	0.9826
0.0047	7.0	3500	0.1709	0.9779
0.0032	8.0	4000	0.2081	0.9739
0.0018	9.0	4500	0.1727	0.9776
0.0013	10.0	5000	0.2054	0.9767
0.002	11.0	5500	0.1938	0.9762
0.0029	12.0	6000	0.2310	0.9743
0.0	13.0	6500	0.1994	0.9774
0.0	14.0	7000	0.2111	0.9761
0.0	15.0	7500	0.2122	0.9766

Framework versions

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