MLIsScary221

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

• Loss: 2.3377

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	1	3.9704
No log	2.0	2	3.5749
No log	3.0	3	3.2832
No log	4.0	4	3.0478
No log	5.0	5	2.8582
No log	6.0	6	2.6982
No log	7.0	7	2.5625
No log	8.0	8	2.4528
No log	9.0	9	2.3767
No log	10.0	10	2.3377

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu118
• Datasets 2.13.1
• Tokenizers 0.13.3