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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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+
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+ # Uploaded model
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+
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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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+
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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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+
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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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+
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+ ## Benchmark Results
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+
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+ This model has been fine-tuned for various tasks and evaluated on the following benchmarks:
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+
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+ ### GLUE_SST-2
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+ **Accuracy:** 0.5080
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+
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+ ![GLUE_SST-2 Metrics](./GLUE_SST-2_metrics.png)
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+
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+
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+ Model Size: 494,034,560 parameters
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+ Required Memory: 1.84 GB
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+
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+ For more details, visit my [GitHub](https://github.com/Agnuxo1).
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+
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+ Thanks for your interest in this model!