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README.md

@@ -1,11 +1,9 @@
-Phi 2 is finetuned using neelima-v/tax_faq_india dataset. Dataset link :- https://huggingface.co/datasets/neelima-v/tax_faq_india
-
-Please find the inference colab notebook link:- https://colab.research.google.com/drive/1_6TEauM7XeFo3SLQ4kHqJyEK8zXUucpR?usp=sharing
-
-Currently, the model has incorporated the dataset and generates responses based on our training. We are continuing efforts to fine-tune the model for more precise output.
+---
+library_name: peft
+---
+## Training procedure
 
+### Framework versions
 
 
----
-license: apache-2.0
----
+- PEFT 0.4.0

adapter_config.json

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+{
+  "auto_mapping": null,
+  "base_model_name_or_path": "microsoft/phi-2",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "lora_alpha": 64,
+  "lora_dropout": 0.05,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "revision": null,
+  "target_modules": [
+    "Wqkv",
+    "fc1",
+    "fc2",
+    "out_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.bin

@@ -0,0 +1,3 @@
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+oid sha256:97f41bae8cf76e7b527d9706450561e4bb119cd513ff33f75ef37ca5d246f65d
+size 167859725