gpt2-large-supervised-prompt-writing

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gpt2-sweep

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

• Loss: 2.0808
• Accuracy: 0.8556

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: 2.294477077303931e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 1000
• num_epochs: 2.0

Training results

Framework versions

• Transformers 4.26.0
• Pytorch 2.0.0+cu117
• Datasets 2.9.0
• Tokenizers 0.13.2