bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR10-8-fast-9

This model is a fine-tuned version of jojoUla/bert-large-cased-sigir-support-refute-no-label-40 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0098

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: 4e-05
• train_batch_size: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 8.0

Training results

Training Loss	Epoch	Step	Validation Loss
4.2051	1.0	1	2.6031
2.7046	2.0	2	0.0800
1.8596	3.0	3	1.7541
2.0593	4.0	4	0.0029
1.4195	5.0	5	1.8069
0.8254	6.0	6	1.9380
0.958	7.0	7	3.9360
1.2158	8.0	8	0.0626

Framework versions

• Transformers 4.30.2
• Pytorch 2.0.1+cu118
• Datasets 2.13.1
• Tokenizers 0.13.3