NasimB/bnc-rarity-no-cut-shuffled

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bnc-rarity-no-cut-shuffled

This model is a fine-tuned version of gpt2 on the generator dataset. It achieves the following results on the evaluation set:

• —Loss: 4.3207

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: 0.0005
• —trainbatchsize: 64
• —evalbatchsize: 64
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 1000
• —num_epochs: 6
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.26.1
• —Pytorch 1.11.0+cu113
• —Datasets 2.13.0
• —Tokenizers 0.13.3