CS505-NerCOQE-xlm-Subject

This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0000
• F1: 1.0

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: 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: 20

Training results

Training Loss	Epoch	Step	Validation Loss	F1
No log	1.0	53	0.0902	0.7186
No log	2.0	106	0.0557	0.8471
No log	3.0	159	0.0300	0.8976
No log	4.0	212	0.0163	0.9301
No log	5.0	265	0.0115	0.9648
No log	6.0	318	0.0066	0.9682
No log	7.0	371	0.0087	0.9727
No log	8.0	424	0.0167	0.8462
No log	9.0	477	0.0014	0.9902
No log	10.0	530	0.0010	0.9967
No log	11.0	583	0.0023	0.9928
No log	12.0	636	0.0005	0.9961
No log	13.0	689	0.0002	0.9974
No log	14.0	742	0.0006	0.9987
No log	15.0	795	0.0001	1.0
No log	16.0	848	0.0001	1.0
No log	17.0	901	0.0001	0.9987
No log	18.0	954	0.0001	0.9987
No log	19.0	1007	0.0000	1.0
No log	20.0	1060	0.0000	1.0

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2