bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR10-8-fast-11

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: 0.3220

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
4.9852	1.0	1	4.6746
2.8288	2.0	2	5.2309
2.6546	3.0	3	0.0094
1.9415	4.0	4	0.5933
2.3601	5.0	5	1.7906
1.0933	6.0	6	2.2555
1.2484	7.0	7	0.6379
0.9455	8.0	8	2.4213

Framework versions

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