---
library_name: transformers
license: other
base_model: deepseek-ai/DeepSeek-Prover-V2-7B
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: deepseek-prover-v2-7b-lean-cpt-32k
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# deepseek-prover-v2-7b-lean-cpt-32k

This model is a fine-tuned version of [deepseek-ai/DeepSeek-Prover-V2-7B](https://huggingface.co/deepseek-ai/DeepSeek-Prover-V2-7B) on the lean_cpt_scrape dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6429

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-06
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 16
- total_eval_batch_size: 16
- 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: 0.03
- num_epochs: 1.0

### Training results



### Framework versions

- Transformers 4.57.3
- Pytorch 2.9.0+cu129
- Datasets 3.6.0
- Tokenizers 0.22.1