# OpenThinker-7B-Unverified This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the [OpenThoughts-Unverified-173k](https://huggingface.co/datasets/open-thoughts/OpenThoughts-Unverified-173k) dataset. Please see [OpenThinker-7B](https://huggingface.co/open-thoughts/OpenThinker-7B) for more information. |Model Name|Dataset size|AIME24 I/II|AIME25 I|MATH500|GPQA Diamond|LCBv2| |---|---|---|---|---|---|---| |[OpenThinker-7B](https://huggingface.co/open-thoughts/OpenThinker-7B)|114k|31.3|30.7|84.4|38.9|41.8| |[OpenThinker-7B-Unverified](https://huggingface.co/open-thoughts/OpenThinker-7B-Unverified)|173k|34|29.33|83|39.4|43.8| |[OpenThinker-32B](https://huggingface.co/open-thoughts/OpenThinker-32B)|114k|66.7|53.3|90.6|61.6|68.9| |[OpenThinker-32B-Unverified](https://huggingface.co/open-thoughts/OpenThinker-32B-Unverified)|173k|60.7|44|90|60.6|69.2| ## Intended uses & limitations Apache 2.0 ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 1e-05 - train_batch_size: 1 - eval_batch_size: 8 - seed: 42 - distributed_type: multi-GPU - num_devices: 16 - gradient_accumulation_steps: 6 - total_train_batch_size: 96 - total_eval_batch_size: 128 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: cosine - lr_scheduler_warmup_ratio: 0.1 - num_epochs: 3.0 ### Framework versions - Transformers 4.46.1 - Pytorch 2.3.0 - Datasets 3.1.0 - Tokenizers 0.20.3

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