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