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Llama3.1_Medicine_Hinglish_Fine-Tuned_27-09_LoRA_Layers

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 ---
-base_model: unsloth/meta-llama-3.1-8b-bnb-4bit
-library_name: peft
 ---
-# Model Card for Model ID
-<!-- Provide a quick summary of what the model is/does. -->
-## Model Details
-### Model Description
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-- **Developed by:** [More Information Needed]
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-## Uses
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-## How to Get Started with the Model
-Use the code below to get started with the model.
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-## Training Details
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-#### Preprocessing [optional]
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-#### Training Hyperparameters
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-## Evaluation
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-#### Summary
-## Model Examination [optional]
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-## Environmental Impact
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-Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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-## Technical Specifications [optional]
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-### Framework versions
-- PEFT 0.13.0

 ---
+base_model: meta-llama/Meta-Llama-3.1-8B
+language:
+- en
+- hi
+datasets:
+- student-abdullah/BigPharma_Generic_Q-A_Format_Augemented_Hinglish_Dataset
 ---
+# LoRA Adapter Layers!
+# Uploaded model
+- **Developed by:** student-abdullah
+- **Finetuned from model:** meta-llama/Meta-Llama-3.1-8B
+- **Created on:** 27th September, 2024
+- **Full model:** student-abdullah/llama3.1_medicine_hinglish_fine-tuned_27-09_8bits_gguf
+---
+# Acknowledgement
+[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+---
+# Model Description
+This LoRA adapter layer model is fine-tuned from the meta-llama/Meta-Llama-3.1-8B base model to specialisation related to generic medications under the PMBJP scheme. The fine-tuning process included the following hyperparameters:
+- Fine Tuning Template: Llama 3.1 Q&A
+- Max Tokens: 512
+- LoRA Alpha: 16
+- LoRA Rank (r): 128
+- Learning rate: 2e-4
+- Gradient Accumulation Steps: 2
+- Batch Size: 12
+---
+# Model Quantitative Performace
+- Training Quantitative Loss: 0.141 (at final 300th epoch)
+---
+# Limitations
+- This is not a fully compiled model, rather just LoRA layers