danielkosyra/testdatasetpretraining

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testdatasetpretraining

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

• —Loss: 3.3016

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: 0.0006
• —trainbatchsize: 32
• —evalbatchsize: 32
• —seed: 42
• —gradientaccumulationsteps: 10
• —totaltrainbatch_size: 320
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 250
• —training_steps: 1250
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.40.1
• —Pytorch 2.3.0+cu121
• —Datasets 2.19.0
• —Tokenizers 0.19.1