gpt-neo-125m-finetuned-cybersecurity

This model is a fine-tuned version of EleutherAI/gpt-neo-125m on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.9384
• Accuracy: 0.1440

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: 5e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.9416	1.0	16661	2.0521	0.1437
1.7556	2.0	33322	1.9568	0.1451
1.5854	3.0	49983	1.9384	0.1440

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1+cu118
• Datasets 2.18.0
• Tokenizers 0.15.2