distilgpt2-finetuned-katpoems-lm-15-epoch

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

• Loss: 4.8145

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: 15.0

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	59	4.6495
No log	2.0	118	4.6555
No log	3.0	177	4.6696
No log	4.0	236	4.6930
No log	5.0	295	4.7132
No log	6.0	354	4.7185
No log	7.0	413	4.7444
No log	8.0	472	4.7611
4.2244	9.0	531	4.7794
4.2244	10.0	590	4.7841
4.2244	11.0	649	4.7929
4.2244	12.0	708	4.8048
4.2244	13.0	767	4.8058
4.2244	14.0	826	4.8124
4.2244	15.0	885	4.8145

Framework versions

• Transformers 4.25.1
• Pytorch 1.13.0+cu116
• Datasets 2.7.1
• Tokenizers 0.13.2