ft-distilGPT2-with-ELI5

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

• Loss: 3.9586

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: 16
• eval_batch_size: 16
• 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	16	3.9655
No log	2.0	32	3.9544
No log	3.0	48	3.9496
No log	4.0	64	3.9508
No log	5.0	80	3.9515
No log	6.0	96	3.9527
No log	7.0	112	3.9549
No log	8.0	128	3.9564
No log	9.0	144	3.9582
No log	10.0	160	3.9586

Framework versions

• Transformers 4.35.2
• Pytorch 2.0.0
• Datasets 2.15.0
• Tokenizers 0.14.1