Update README.md

README.md

@@ -13,8 +13,26 @@ datasets:
 
 # Model Card for llama-3.2-1b-it-brainrot
 
-This model is a fine-tuned version of [unsloth/Llama-3.2-1B-Instruct](https://huggingface.co/unsloth/Llama-3.2-1B-Instruct).
-It has been trained using [TRL](https://github.com/huggingface/trl).
+## Model Details
+
+### Model Description
+- **Model Name**: `CallmeKaito/llama-3.2-1b-it-brainrot`
+- **Base Model**: LLaMA-3.2-1B
+- **Fine-Tuned On**: `ShreeshaBhat1004/Brain-rot` dataset
+- **Task**: Text generation with a focus on "brainrot" content (humorous, absurd, or nonsensical text).
+- **Fine-Tuning Dataset Size**: 32 rows (small dataset for experimental purposes).
+
+### Intended Use
+This model is intended for experimental and entertainment purposes. It is fine-tuned on a small dataset of "brainrot" content. Use cases include:
+- Generating funny or absurd text for entertainment.
+- Exploring the effects of fine-tuning on small, niche datasets.
+- Testing the limits of language models with minimal data.
+
+### Limitations
+- **Overfitting**: Due to the extremely small dataset (32 rows), the model may have overfitted to the training data, leading to poor generalization on unseen data.
+- **Validation Loss**: The validation loss increased during training, indicating potential overfitting or lack of generalization.
+- **Niche Use Case**: The model is specialized for "brainrot" content and may not perform well on general text generation tasks.
+- **Ethical Considerations**: The model may generate nonsensical or inappropriate content. Use with caution and ensure outputs are reviewed before sharing.
 
 ## Quick start