jacob-danner/gpt_1_sequence_classification_finetune

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gpt1sequenceclassificationfinetune

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

• —Loss: 0.3295

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: 5.38312346311055e-05
• —trainbatchsize: 64
• —evalbatchsize: 64
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 15

Training results

Framework versions

• —Transformers 4.49.0
• —Pytorch 2.6.0
• —Datasets 3.4.0
• —Tokenizers 0.21.1