GPT2-LM-Finetuned-MBTI

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

• Loss: 3.9582
• Lm loss: 3.9581
• Perplexity: 52.36

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: 2
• eval_batch_size: 2
• 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	Lm loss	Perplexity
4.1981	1.0	3470	4.0349	4.0348	56.53
4.0457	2.0	6940	3.9963	3.9962	54.39
3.9757	3.0	10410	3.9815	3.9814	53.59
3.9247	4.0	13880	3.9701	3.9701	52.99
3.885	5.0	17350	3.9614	3.9613	52.52
3.8523	6.0	20820	3.9627	3.9627	52.60
3.8274	7.0	24290	3.9607	3.9606	52.49
3.8076	8.0	27760	3.9585	3.9584	52.37
3.7924	9.0	31230	3.9576	3.9575	52.33
3.782	10.0	34700	3.9582	3.9581	52.36

Framework versions

• Transformers 4.21.2
• Pytorch 1.12.1
• Datasets 2.4.0
• Tokenizers 0.12.1