BanUrsus/gpt2-small-finetuned-codeparrot-ds_nlp-course-chapter7-section5

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gpt2-small-finetuned-codeparrot-ds_nlp-course-chapter7-section5

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

• —Loss: 1.0606

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: 32
• —evalbatchsize: 32
• —seed: 42
• —gradientaccumulationsteps: 8
• —totaltrainbatch_size: 256
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 1000
• —num_epochs: 1
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.35.2
• —Pytorch 1.11.0+cu102
• —Datasets 2.15.0
• —Tokenizers 0.15.0