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README.md

@@ -1,23 +1,37 @@
+
 ---
-base_model: unsloth/tinyllama-bnb-4bit
-language:
-- en
-license: apache-2.0
-tags:
-- text-generation-inference
-- transformers
-- unsloth
-- llama
-- trl
-- sft
+model_size: 1034516480
+required_memory: 3.85
+accuracy: 0.518348623853211
+metrics: 
+- glue-sst2
 ---
 
-# 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/tinyllama-bnb-4bit
+- **Finetuned from model :** Agnuxo/Tinytron-TinyLlama
 
-This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+This Mistral model was trained 2x faster with [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-sst2
+**Accuracy:** 0.5183
+
+![glue-sst2 Accuracy](./glue-sst2_accuracy.png)
+
+
+Model Size: 1,034,516,480 parameters
+Required Memory: 3.85 GB
+
+For more details, visit my [GitHub](https://github.com/Agnuxo1).
+
+Thanks for your interest in this model!