初始化项目,由ModelHub XC社区提供模型
Model: open-thoughts/OpenThinker-7B-Unverified Source: Original Platform
This commit is contained in:
66
README.md
Normal file
66
README.md
Normal file
@@ -0,0 +1,66 @@
|
||||
---
|
||||
library_name: transformers
|
||||
license: apache-2.0
|
||||
base_model: Qwen/Qwen2.5-7B-Instruct
|
||||
tags:
|
||||
- llama-factory
|
||||
- full
|
||||
- generated_from_trainer
|
||||
model-index:
|
||||
- name: stratos_unverified_mix_2nodes
|
||||
results: []
|
||||
---
|
||||
|
||||
|
||||
<p align="center">
|
||||
<img src="https://huggingface.co/datasets/open-thoughts/open-thoughts-114k/resolve/main/open_thoughts.png" width="50%">
|
||||
</p>
|
||||
|
||||
# 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
|
||||
Reference in New Issue
Block a user