# Bornil Phukon: Open-Weight Models and Datasets
Source: https://savrn.com/model-publishers/bornil20005
Markdown alternate of the page above; the site index is https://savrn.com/llms.txt

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## Models

Model · Text generation

### [my_awesome_eli5_clm-model](https://savrn.com/models/my-awesome-eli5-clm-model)

[Bornil Phukon](https://savrn.com/model-publishers/bornil20005)

This model is a fine-tuned version of distilbert/distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set: The following hyperparameters were used during training: - learningrate: 2e-05 - trainbatchsize: 8 - evalbatchsize: 8 - lrschedulertype: linear - numepochs: 3.0 - Transformers 5.18.0 - Pytorch 2.11.0+cu130 - Datasets 4.8.5 - Tokenizers 0.23.2

Open weights apache-2.0 82M parameters transformers

[View model](https://savrn.com/models/my-awesome-eli5-clm-model)

## Explore More

- [All model publishers](https://savrn.com/model-publishers)
- [The model directory](https://savrn.com/models)
- [The dataset directory](https://savrn.com/datasets)

## Source

- Listed from their public repositories, read 2026-10-06.
- [Hugging Face profile](https://huggingface.co/bornil20005)
- [How the hub is built](https://savrn.com/model-hub/methodology)