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Model: arvkevi/python-bytes-distilgpt2
Source: Original Platform

README.md

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+---
+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
+
+
+
+### Framework versions
+
+- Transformers 4.22.0.dev0
+- Pytorch 1.12.0+cu113
+- Datasets 2.4.0
+- Tokenizers 0.12.1