---
library_name: transformers
license: other
base_model: pre-to-post-olmo/math-1b-anneal-from-step30000
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: math-1b-sft-numinamath-bs512-from-step30000
  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. -->

# math-1b-sft-numinamath-bs512-from-step30000

This model is a fine-tuned version of [pre-to-post-olmo/math-1b-anneal-from-step30000](https://huggingface.co/pre-to-post-olmo/math-1b-anneal-from-step30000) on the numinamath_cot dataset.

## 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: 1e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 512
- total_eval_batch_size: 64
- 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: 0.03
- num_epochs: 1.0

### Training results



### Framework versions

- Transformers 4.57.1
- Pytorch 2.12.1+cu130
- Datasets 4.0.0
- Tokenizers 0.22.2
