| | --- |
| | base_model: unsloth/Qwen2.5-0.5B-Instruct |
| | tags: |
| | - text-generation-inference |
| | - transformers |
| | - unsloth |
| | - qwen2 |
| | license: apache-2.0 |
| | language: |
| | - en |
| | --- |
| | |
| | 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. |
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| | To support that, we’re releasing our Hindi + English transcript analytics model tuned specifically for call transcripts: |
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| | You can plug it into your calling or voice AI stack to automatically extract: |
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| | • 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. |
| |
|
| | Training 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 = 3, |
| | 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 |
| | ``` |
| |
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| | - **Developed by:** RinggAI |
| | - **License:** apache-2.0 |
| | - **Finetuned from model :** unsloth/Qwen2.5-0.5B-Instruct |
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|
| | - 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/ |
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| | [<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) |
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