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Model: ahmadhehe/tinyllama-1.1b-sft-dolly15k
Source: Original Platform

README.md

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+---
+base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
+library_name: transformers
+tags:
+  - text-generation
+  - sft
+  - lora
+  - tinyllama
+---
+
+# Best SFT Model — SFT-T4
+
+TinyLlama-1.1B-Chat-v1.0 fine-tuned via Supervised Fine-Tuning (SFT) on
+[databricks/databricks-dolly-15k](https://huggingface.co/datasets/databricks/databricks-dolly-15k).
+
+## Authors
+- Ahmad Murtaza (24478)
+- Simra Sheikh (27135)
+
+## Project Context
+This model was developed as part of Assignment 04 for the NLP with Deep Learning
+course at the Institute of Business Administration (IBA). The assignment involves
+building a full SFT → DPO fine-tuning pipeline on TinyLlama-1.1B-Chat-v1.0 and
+evaluating the impact of instruction tuning and preference alignment.
+
+## Training config
+```
+trial         : SFT-T4
+lora_rank     : 16
+lora_alpha    : 32
+target_modules: ['q_proj', 'k_proj', 'v_proj', 'o_proj']
+learning_rate : 0.0002
+epochs        : 1
+val_loss      : 1.7798
+```
+
+## Evaluation (10-prompt test set, merged model)
+| Model                           | BLEU-4 | BERTScore F1 |
+| ------------------------------- | ------ | ------------ |
+| Base (TinyLlama-1.1B)           | 2.1400 | 85.4700 |
+| **Best SFT (SFT-T4)** | **2.4200** | **87.1100** |