---
library_name: peft
tags:
- generated_from_trainer
base_model: PrunaAI/deepseek-ai-deepseek-math-7b-rl-bnb-4bit-smashed
model-index:
- name: math_ft
  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_ft

This model is a fine-tuned version of [PrunaAI/deepseek-ai-deepseek-math-7b-rl-bnb-4bit-smashed](https://huggingface.co/PrunaAI/deepseek-ai-deepseek-math-7b-rl-bnb-4bit-smashed) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5111

## 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: 0.0002
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.0364        | 0.9655 | 7    | 0.7955          |
| 0.7271        | 1.9310 | 14   | 0.6199          |
| 0.604         | 2.8966 | 21   | 0.5675          |
| 0.4951        | 4.0    | 29   | 0.5419          |
| 0.5483        | 4.9655 | 36   | 0.5294          |
| 0.531         | 5.9310 | 43   | 0.5218          |
| 0.5217        | 6.8966 | 50   | 0.5168          |
| 0.4511        | 8.0    | 58   | 0.5131          |
| 0.5083        | 8.9655 | 65   | 0.5115          |
| 0.4632        | 9.6552 | 70   | 0.5111          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.40.2
- Pytorch 2.1.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1