| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: python-bytes-distilgpt2 |
| | results: [] |
| | widget: |
| | - text: "fastAPI is a great new web framework to easily build web APIs." |
| | example_title: "fastAPI" |
| | - text: "The new tool uses sqlite for performance" |
| | example_title: "sqlite" |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # 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](https://huggingface.co/distilgpt2) on [Python Bytes show notes](https://github.com/mikeckennedy/python_bytes_show_notes/tree/master/transcripts). |
| |
|
| | 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](https://github.com/mikeckennedy/python_bytes_show_notes/tree/master/transcripts) |
| |
|
| | ## 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 |
| |
|
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.22.0.dev0 |
| | - Pytorch 1.12.0+cu113 |
| | - Datasets 2.4.0 |
| | - Tokenizers 0.12.1 |
| |
|
