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README.md
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---
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model_size: 494034560
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required_memory: 1.84
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accuracy: 0.5080275229357798
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metrics:
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- GLUE_SST-2
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license: apache-2.0
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datasets:
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- jtatman/python-code-dataset-500k
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- Vezora/Tested-143k-Python-Alpaca
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language:
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- en
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- es
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base_model: Qwen/Qwen2-0.5B
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library_name: adapter-transformers
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tags:
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- llama
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- minillama
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- tinyllama
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- tiny
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- mini
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- nemo
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- minitron
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- tinytron
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- ollama
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---
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# Uploaded model
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[<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)
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- **Developed by:** [Agnuxo](https://github.com/Agnuxo1)
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- **License:** apache-2.0
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- **Finetuned from model:** Agnuxo/Tinytron-Qwen2-0.5B
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This model was fine-tuned using [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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## Benchmark Results
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This model has been fine-tuned for various tasks and evaluated on the following benchmarks:
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### GLUE_SST-2
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**Accuracy:** 0.5080
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![GLUE_SST-2 Metrics](./GLUE_SST-2_metrics.png)
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Model Size: 494,034,560 parameters
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Required Memory: 1.84 GB
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For more details, visit my [GitHub](https://github.com/Agnuxo1).
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Thanks for your interest in this model!
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