montelnewsspeaker

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

• Loss: 0.8843

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: 15

Training results

Training Loss	Epoch	Step	Validation Loss
0.8369	1.0	1090	0.8848
0.8257	2.0	2180	0.8879
0.8085	3.0	3270	0.8750
0.7996	4.0	4360	0.8720
0.7861	5.0	5450	0.8789
0.7781	6.0	6540	0.8777
0.768	7.0	7630	0.8798
0.7585	8.0	8720	0.8789
0.7475	9.0	9810	0.8774
0.739	10.0	10900	0.8828
0.7285	11.0	11990	0.8817
0.7269	12.0	13080	0.8813
0.7202	13.0	14170	0.8801
0.7156	14.0	15260	0.8839
0.7106	15.0	16350	0.8843

Framework versions

• Transformers 4.36.2
• Pytorch 2.0.0
• Datasets 2.1.0
• Tokenizers 0.15.0