bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR50-8-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: 0.8410

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
5.273	1.0	1	0.0967
2.6778	2.0	2	0.4944
2.3321	3.0	3	0.0783
0.6817	4.0	4	0.0992
1.5478	5.0	5	4.9722
1.384	6.0	6	0.7529
1.132	7.0	7	5.1042
1.2186	8.0	8	0.0030

Framework versions

• Transformers 4.29.2
• Pytorch 2.0.1+cu118
• Datasets 2.12.0
• Tokenizers 0.13.3