test-seed42

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

• Loss: 5.8843
• Accuracy: 0.1185

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: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 128
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 100
• num_epochs: 1.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
100.4132	0.2403	500	6.5713	0.0801
93.8936	0.4805	1000	6.1925	0.0759
89.5438	0.7208	1500	6.0171	0.1067
89.6839	0.9611	2000	5.8715	0.1192

Framework versions

• Transformers 4.57.1
• Pytorch 2.9.0+cu130
• Datasets 4.8.4
• Tokenizers 0.22.2