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README.md

@@ -1,23 +1,36 @@
+
 ---
-base_model: unsloth/qwen2-0.5b-bnb-4bit
-language:
-- en
-license: apache-2.0
-tags:
-- text-generation-inference
-- transformers
-- unsloth
-- qwen2
-- trl
-- sft
+model_size: 494034560
+required_memory: 1.84
+accuracy: 0.5080275229357798
+metrics:
+- GLUE_SST-2
 ---
 
-# Uploaded  model
+# Uploaded model
 
-- **Developed by:** Agnuxo
+[<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 :** unsloth/qwen2-0.5b-bnb-4bit
+- **Finetuned from model:** Agnuxo/Tinytron-codegemma-2b
 
-This qwen2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+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!