bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR50-8-fast-10

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: 1.1038

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
6.8891	1.0	1	2.3951
3.3236	2.0	2	0.0099
2.5181	3.0	3	3.0703
2.27	4.0	4	0.0263
1.2332	5.0	5	1.4396
0.7277	6.0	6	0.0181
1.3579	7.0	7	0.0969
1.1865	8.0	8	0.0273

Framework versions

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