bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR50-8-fast-18

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: 1.6526

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
5.6114	1.0	1	0.9173
1.9238	2.0	2	2.1487
2.3171	3.0	3	1.2490
1.3094	4.0	4	0.5600
0.829	5.0	5	0.0015
2.1614	6.0	6	0.0017
1.0152	7.0	7	0.0736
1.0689	8.0	8	0.0228

Framework versions

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