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--- |
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library_name: transformers |
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datasets: |
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- openai/gsm8k |
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language: |
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- en |
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base_model: |
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- Qwen/Qwen2.5-1.5B-Instruct |
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pipeline_tag: reinforcement-learning |
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--- |
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# Model Card for Model ID |
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<!-- Provide a quick summary of what the model is/does. --> |
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## Model Details |
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### Model Description |
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<!-- Provide a longer summary of what this model is. --> |
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. |
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- **Developed by:** [Abaryan] |
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- **Funded by [optional]:** [More Information Needed] |
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- **Shared by [Abaryan] |
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- **Model type:** [GRPO + CoT] |
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- **Language(s) (NLP):** [More Information Needed] |
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- **License:** [More Information Needed] |
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- **Finetuned from model [Qwen_2.5_1.5b]:** [More Information Needed] |
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## Training Details |
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### Training Data |
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[GSM8K] |
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#### Training Hyperparameters |
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> |
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#### Speeds, Sizes, Times [optional] |
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> |
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[bf16, no quantisation, no LoRA,Batch_size=5, num of generation = 5, 3000_steps] |
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## Evaluation |
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#### Metrics |
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<!-- These are the evaluation metrics being used, ideally with a description of why. --> |
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[More Information Needed] |
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### Results |
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[More Information Needed] |
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### Model Architecture and Objective |
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[Transformers] |
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### Compute Infrastructure |
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[More Information Needed] |
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#### Hardware |
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[2x 4080s] |
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#### Software |
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[cuda_12.6 & pytorch_2.6] |
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**BibTeX:** |
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[More Information Needed] |
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**APA:** |
