初始化项目，由ModelHub XC社区提供模型

Model: RinggAI/Transcript-Analytics-SLM1.5b
Source: Original Platform

README.md

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+---
+base_model: unsloth/Qwen2.5-1.5B-Instruct
+tags:
+- text-generation-inference
+- transformers
+- unsloth
+- qwen2.5
+license: apache-2.0
+language:
+- en
+- hi
+---
+
+As calling operations scale, it becomes clear that dialing and talking is not enough.
+Even with a strong voice AI + telephony architecture, the real value shows up only when post-call actions are captured and executed in a robust, dependable and consistent way. Closing the loop matters more than just connecting the call.
+
+To support that, we’re releasing our Hindi + English transcript analytics model tuned specifically for call transcripts:
+
+
+You can plug it into your calling or voice AI stack to automatically extract:
+
+	•	Enum-based classifications (e.g., call outcome, intent, disposition)
+	•	Conversation summaries
+	•	Action items / follow-ups
+
+It’s built to handle real-world Hindi, English, and mixed Hinglish calls, including noisy transcripts.
+
+Finetuning Parameters:
+```
+rank = 64
+lora_alpha = rank*2,
+target_modules = ["q_proj", "k_proj", "v_proj", "o_proj",
+                      "gate_proj", "up_proj", "down_proj",],
+SFTConfig(
+        dataset_text_field = "prompt",
+        per_device_train_batch_size = 32,
+        gradient_accumulation_steps = 1, # Use GA to mimic batch size!
+        warmup_steps = 5,
+        num_train_epochs = 2,
+        learning_rate = 2e-4,
+        logging_steps = 50,
+        optim = "adamw_8bit",
+        weight_decay = 0.001,
+        lr_scheduler_type = "linear",
+        seed = SEED,
+        report_to = "wandb",
+        eval_strategy="steps",
+        eval_steps=200,
+    )
+The model was finetuned on ~100,000 curated transcripts across different domanins and language preferences
+```
+![Training Overview](metrics.png)
+
+
+Provide the below schema for best output:
+```
+response_schema = {
+        "type": "object",
+        "properties": {
+            "key_points": {
+                "type": "array",
+                "items": {"type": "string"},
+                "nullable": True,
+            },
+            "action_items": {
+                "type": "array",
+                "items": {"type": "string"},
+                "nullable": True,
+            },
+            "summary": {"type": "string"},
+            "classification": classification_schema,
+        },
+        "required": ["summary", "classification"],
+}
+```
+
+- **Developed by:** RinggAI
+- **License:** apache-2.0
+- **Finetuned from model :** unsloth/Qwen2.5-1.5B-Instruct
+- Parameter decision where made using 
+  **Schulman, J., & Thinking Machines Lab. (2025).**  
+  *LoRA Without Regret.*  
+  Thinking Machines Lab: Connectionism.  
+  DOI: 10.64434/tml.20250929  
+  Link: https://thinkingmachines.ai/blog/lora/
+
+
+
+[<img style="border-radius: 20px;" src="https://storage.googleapis.com/desivocal-prod/desi-vocal/logo.png" width="200"/>](https://ringg.ai)
+[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)