---
library_name: transformers
license: other
base_model: deepseek-ai/deepseek-math-7b-base
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: deepseek-math-lean-sft
  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-math-lean-sft

This model is a fine-tuned version of [deepseek-ai/deepseek-math-7b-base](https://huggingface.co/deepseek-ai/deepseek-math-7b-base) on the lean_sft dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0597

## 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-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- total_eval_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 0.05
- num_epochs: 1.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.0744        | 0.1692 | 1000 | 0.0767          |
| 0.068         | 0.3384 | 2000 | 0.0688          |
| 0.0637        | 0.5077 | 3000 | 0.0648          |
| 0.0601        | 0.6769 | 4000 | 0.0620          |
| 0.0608        | 0.8461 | 5000 | 0.0601          |


### Framework versions

- Transformers 4.57.3
- Pytorch 2.9.0+cu129
- Datasets 4.0.0
- Tokenizers 0.22.1