File size: 1,780 Bytes
c60f855
 
 
 
602baf8
 
c60f855
 
 
c316b87
 
 
 
 
c60f855
 
 
 
 
 
 
8a955a2
 
ed200a6
 
602baf8
 
 
c60f855
 
 
ed200a6
c60f855
 
 
ed200a6
c60f855
 
 
ed200a6
c60f855
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
---
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