GPT2-medium

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: 0.5613

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: 0.0001
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.15
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.4653	1.7937	50	0.5613
0.3154	3.5874	100	0.5657
0.2436	5.3812	150	0.5961
0.2138	7.1749	200	0.6012
0.197	8.9686	250	0.6177

Framework versions

• Transformers 4.45.1
• Pytorch 2.4.0
• Datasets 3.0.1
• Tokenizers 0.20.0