README.md

---
model_size: 494034560
required_memory: 1.84
accuracy: 0.5080275229357798
metrics:
- GLUE_SST-2
license: apache-2.0
datasets:
- jtatman/python-code-dataset-500k
- Vezora/Tested-143k-Python-Alpaca
language:
- en
- es
base_model: Qwen/Qwen2-0.5B
library_name: adapter-transformers
tags:
- llama
- minillama
- tinyllama
- tiny
- mini
- nemo
- minitron
- tinytron
- ollama
---

# Uploaded model

[<img src="https://github.githubassets.com/assets/GitHub-Mark-ea2971cee799.png" width="100"/><img src="https://github.githubassets.com/assets/GitHub-Logo-ee398b662d42.png" width="100"/>](https://github.com/Agnuxo1)
- **Developed by:** [Agnuxo](https://github.com/Agnuxo1)
- **License:** apache-2.0
- **Finetuned from model:** Agnuxo/Tinytron-Qwen2-0.5B

This model was fine-tuned using [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.

[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)

## Benchmark Results

This model has been fine-tuned for various tasks and evaluated on the following benchmarks:

### GLUE_SST-2
**Accuracy:** 0.5080

![GLUE_SST-2 Metrics](./GLUE_SST-2_metrics.png)


Model Size: 494,034,560 parameters
Required Memory: 1.84 GB

For more details, visit my [GitHub](https://github.com/Agnuxo1).

Thanks for your interest in this model!