gpt2-finetuned-yannic-large

This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 3.0845

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

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	403	3.2112
3.3686	2.0	806	3.1667
3.2407	3.0	1209	3.1426
3.1842	4.0	1612	3.1277
3.134	5.0	2015	3.1135
3.134	6.0	2418	3.1055
3.0949	7.0	2821	3.1004
3.0644	8.0	3224	3.0938
3.0391	9.0	3627	3.0904
3.0219	10.0	4030	3.0882
3.0219	11.0	4433	3.0865
3.0052	12.0	4836	3.0858
2.9926	13.0	5239	3.0859
2.9803	14.0	5642	3.0842
2.9793	15.0	6045	3.0845

Framework versions

• Transformers 4.24.0
• Pytorch 1.12.1+cu113
• Datasets 2.7.0
• Tokenizers 0.13.2