distilgpt2-finetuned-cybernative

This model is a fine-tuned version of distilgpt2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 3.0447

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: 2e-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
3.2353	1.0	12759	3.2105
3.0855	2.0	25518	3.0827
3.0183	3.0	38277	3.0447

Framework versions

• Transformers 4.38.2
• Pytorch 2.1.2.post301
• Datasets 2.16.0
• Tokenizers 0.15.2