text-classification-finetuned

This model is a fine-tuned version of openai-community/gpt2 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.9695
• Accuracy: 0.7991

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: 16
• eval_batch_size: 16
• seed: 42
• 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
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.2	30	0.5037	0.7630
No log	2.4	60	0.4638	0.7840
No log	3.6	90	0.4840	0.7978
No log	4.8	120	0.7106	0.7958
No log	6.0	150	0.7237	0.7899
No log	7.2	180	0.9673	0.7905
No log	8.4	210	0.9818	0.8011
No log	9.6	240	0.9695	0.7991

Framework versions

• Transformers 5.0.0
• Pytorch 2.10.0+cpu
• Datasets 4.8.3
• Tokenizers 0.22.2