Daniil-Archibasov/GPT-2-TRL

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This model is a fine-tuned version of lvwerra/gpt2-imdb on an unknown dataset.

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: 1.41e-05
• —trainbatchsize: 64
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —training_steps: 1200

Framework versions

• —PEFT 0.18.1
• —Transformers 5.0.0
• —Pytorch 2.9.0+cu128
• —Datasets 4.0.0
• —Tokenizers 0.22.2