bert-gpqa-laundry-v2

This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 12.8866
• Accuracy: 0.4978

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: 0.0005
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	63	16.9548	0.2433
No log	2.0	126	16.3764	0.3527
No log	3.0	189	15.3188	0.4152
No log	4.0	252	14.4714	0.4598
No log	5.0	315	14.0562	0.4375
No log	6.0	378	13.5433	0.4710
No log	7.0	441	13.6167	0.4888
5.5435	8.0	504	13.6008	0.4911
5.5435	9.0	567	12.8866	0.4978
5.5435	10.0	630	12.9454	0.4888

Framework versions

• Transformers 4.38.2
• Pytorch 2.1.0+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2