fresh-8-layer-gpqa

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

• Loss: 0.2286
• Accuracy: 0.9141

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: 321
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	13	1.3863	0.2374
No log	2.0	26	1.3859	0.2727
No log	3.0	39	1.3854	0.3131
No log	4.0	52	1.3852	0.3182
No log	5.0	65	1.3851	0.3081
No log	6.0	78	1.3843	0.2879
No log	7.0	91	1.3833	0.3232
No log	8.0	104	1.3796	0.3232
No log	9.0	117	1.3446	0.4091
No log	10.0	130	1.3817	0.6212
No log	11.0	143	1.3829	0.6616
No log	12.0	156	1.2989	0.6717
No log	13.0	169	1.0802	0.4848
No log	14.0	182	0.9971	0.6465
No log	15.0	195	0.8610	0.7020
No log	16.0	208	0.5707	0.7879
No log	17.0	221	0.4044	0.8333
No log	18.0	234	0.3185	0.8687
No log	19.0	247	0.2915	0.8788
No log	20.0	260	0.2286	0.9141

Framework versions

• Transformers 4.34.0.dev0
• Pytorch 2.0.1+cu117
• Datasets 2.14.5
• Tokenizers 0.14.0