67 lines
1.9 KiB
Markdown
67 lines
1.9 KiB
Markdown
---
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library_name: transformers
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license: apache-2.0
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base_model: Qwen/Qwen2.5-7B-Instruct
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tags:
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- llama-factory
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- full
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- generated_from_trainer
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model-index:
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- name: stratos_unverified_mix_2nodes
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results: []
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---
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<p align="center">
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<img src="https://huggingface.co/datasets/open-thoughts/open-thoughts-114k/resolve/main/open_thoughts.png" width="50%">
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</p>
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# OpenThinker-7B-Unverified
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This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the
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[OpenThoughts-Unverified-173k](https://huggingface.co/datasets/open-thoughts/OpenThoughts-Unverified-173k) dataset.
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Please see [OpenThinker-7B](https://huggingface.co/open-thoughts/OpenThinker-7B) for more information.
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|Model Name|Dataset size|AIME24 I/II|AIME25 I|MATH500|GPQA Diamond|LCBv2|
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|---|---|---|---|---|---|---|
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|[OpenThinker-7B](https://huggingface.co/open-thoughts/OpenThinker-7B)|114k|31.3|30.7|84.4|38.9|41.8|
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|[OpenThinker-7B-Unverified](https://huggingface.co/open-thoughts/OpenThinker-7B-Unverified)|173k|34|29.33|83|39.4|43.8|
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|[OpenThinker-32B](https://huggingface.co/open-thoughts/OpenThinker-32B)|114k|66.7|53.3|90.6|61.6|68.9|
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|[OpenThinker-32B-Unverified](https://huggingface.co/open-thoughts/OpenThinker-32B-Unverified)|173k|60.7|44|90|60.6|69.2|
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## Intended uses & limitations
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Apache 2.0
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 1
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 16
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- gradient_accumulation_steps: 6
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- total_train_batch_size: 96
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- total_eval_batch_size: 128
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 3.0
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### Framework versions
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- Transformers 4.46.1
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- Pytorch 2.3.0
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- Datasets 3.1.0
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- Tokenizers 0.20.3
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