bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR50-8-fast-16

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: 0.0331

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
5.819	1.0	1	6.5787
2.2623	2.0	2	0.0323
2.4624	3.0	3	5.0053
1.4961	4.0	4	6.6762
2.3635	5.0	5	2.7712
1.4251	6.0	6	2.1500
1.0469	7.0	7	0.0242
1.4959	8.0	8	4.2648

Framework versions

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