---
base_model: AI-MO/deepseek-math-7b-sft
tags:
- alignment-handbook
- generated_from_trainer
datasets:
- AI-MO/tora-chosen-v0.7
model-index:
- name: aimo_v51.2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# aimo_v51.2

This model is a fine-tuned version of [AI-MO/deepseek-math-7b-sft](https://huggingface.co/AI-MO/deepseek-math-7b-sft) on the AI-MO/tora-chosen-v0.7 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5302

## 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 32
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 4.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4295        | 1.0   | 1733 | 0.4313          |
| 0.3638        | 2.0   | 3466 | 0.4332          |
| 0.2951        | 3.0   | 5199 | 0.4704          |
| 0.2225        | 4.0   | 6932 | 0.5302          |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.3.1
- Datasets 2.18.0
- Tokenizers 0.19.1