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python-bytes-distilgpt2

This model is not affiliated with the Python Bytes podcast in any way.

This model is a fine-tuned version of distilgpt2 on Python Bytes show notes.

It achieves the following results on the evaluation set:

• Loss: 3.0372
• Accuracy: 0.3969

Model description

This model generates conversation between the two show hosts (Michael Kennedy and Brian Okken), and sometimes guests appear :).

Intended uses & limitations

This model was trained specifically for educational purposes and is intended for other users to use it in a similar manner.

Training and evaluation data

Data is located on GitHub

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Framework versions

• Transformers 4.22.0.dev0
• Pytorch 1.12.0+cu113
• Datasets 2.4.0
• Tokenizers 0.12.1