results

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

• Loss: 0.0102

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: 1
• eval_batch_size: 8
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
0.2471	0.5618	50	0.2137
0.1842	1.1236	100	0.1501
0.1631	1.6854	150	0.1109
0.0842	2.2472	200	0.0731
0.1029	2.8090	250	0.0583
0.0638	3.3708	300	0.0410
0.0611	3.9326	350	0.0307
0.0369	4.4944	400	0.0259
0.0367	5.0562	450	0.0184
0.0363	5.6180	500	0.0182
0.0175	6.1798	550	0.0154
0.0241	6.7416	600	0.0130
0.0185	7.3034	650	0.0117
0.0193	7.8652	700	0.0115
0.0153	8.4270	750	0.0109
0.017	8.9888	800	0.0102
0.016	9.5506	850	0.0102

Framework versions

• Transformers 4.51.3
• Pytorch 2.6.0+cu124
• Datasets 2.14.4
• Tokenizers 0.21.1