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README.md
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---
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license: apache-2.0
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---
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license: apache-2.0
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datasets:
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- ustc-zyt/time-r1-data
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language:
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- en
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metrics:
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- mse
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- mae
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---
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# π§ Time-R1 Reinforced Model Weights
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These are the official **reinforcement learning (RL) fine-tuned model checkpoints** for the paper:
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**"Time Series Forecasting as Reasoning: A Slow-Thinking Approach with Reinforced LLMs"**.
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---
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## π¦ Model Details
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* **Base Model**: Qwen2.5-7B
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* **Tuning Framework**: [Verl](https://github.com/volcengine/verl) + [LLaMA Factory](https://github.com/hiyouga/LLaMA-Factory)
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* **Final Stage**: Trained using GRIP (Group-based Relative Importance Policy optimization)
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* **Objective**: Multi-horizon time series forecasting with structured reasoning
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---
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## π¦ Files Included
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This model follows the standard Hugging Face `transformers` format and uses the efficient `safetensors` backend.
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```
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Time-R1/
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βββ config.json
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βββ generation_config.json
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βββ model.safetensors.index.json
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βββ model-00001-of-00004.safetensors
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βββ model-00002-of-00004.safetensors
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βββ model-00003-of-00004.safetensors
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βββ model-00004-of-00004.safetensors
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βββ tokenizer_config.json
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βββ tokenizer.json
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βββ vocab.json
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```
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β
Fully compatible with Hugging Face `transformers` and `AutoModelForCausalLM`.
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