Refine model card

This PR ensures the model is properly categorized, since it's a model which is designed for question answering.

README.md

@@ -6,8 +6,9 @@ language:
 - en
 base_model:
 - meta-llama/Llama-3.1-8B-Instruct
-pipeline_tag: text-generation
+pipeline_tag: question-answering
 ---
+
 # 🦙 Fino1-8B
 
 **Fino1-8B** is a fine-tuned version of **Llama 3.1 8B Instruct**, designed to improve performance on **[financial reasoning tasks]**. This model has been trained using **SFT** and **RF** on **TheFinAI/Fino1_Reasoning_Path_FinQA**, enhancing its capabilities in **financial reasoning tasks**.
@@ -44,4 +45,218 @@ input_text = "What is the results of 3-5?"
 inputs = tokenizer(input_text, return_tensors="pt")
 
 output = model.generate(**inputs, max_new_tokens=200)
-print(tokenizer.decode(output[0], skip_special_tokens=True))
+print(tokenizer.decode(output[0], skip_special_tokens=True))
+```
+
+# File information
+
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+
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+    "normalized": false,
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+    "single_word": false
+  },
+  "pad_token": "<|end_of_text|>"
+}
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