---
license: llama2
library_name: peft
tags:
- unsloth
- generated_from_trainer
base_model: meta-llama/Llama-2-7b-hf
model-index:
- name: llama_2_7b_MetaMathQA_40K_ortho
  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. -->

# llama_2_7b_MetaMathQA_40K_ortho

This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5037

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 0.02
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.8682        | 0.0211 | 13   | 0.6814          |
| 0.641         | 0.0421 | 26   | 0.6427          |
| 0.6129        | 0.0632 | 39   | 0.6230          |
| 0.5885        | 0.0842 | 52   | 0.6083          |
| 0.5771        | 0.1053 | 65   | 0.5977          |
| 0.561         | 0.1264 | 78   | 0.5913          |
| 0.57          | 0.1474 | 91   | 0.5846          |
| 0.5493        | 0.1685 | 104  | 0.5778          |
| 0.5722        | 0.1896 | 117  | 0.5732          |
| 0.5579        | 0.2106 | 130  | 0.5689          |
| 0.5372        | 0.2317 | 143  | 0.5660          |
| 0.5243        | 0.2527 | 156  | 0.5615          |
| 0.5273        | 0.2738 | 169  | 0.5567          |
| 0.5274        | 0.2949 | 182  | 0.5524          |
| 0.5151        | 0.3159 | 195  | 0.5510          |
| 0.5254        | 0.3370 | 208  | 0.5461          |
| 0.5271        | 0.3580 | 221  | 0.5425          |
| 0.5193        | 0.3791 | 234  | 0.5386          |
| 0.508         | 0.4002 | 247  | 0.5376          |
| 0.5121        | 0.4212 | 260  | 0.5340          |
| 0.5259        | 0.4423 | 273  | 0.5321          |
| 0.51          | 0.4633 | 286  | 0.5306          |
| 0.5144        | 0.4844 | 299  | 0.5280          |
| 0.5165        | 0.5055 | 312  | 0.5253          |
| 0.498         | 0.5265 | 325  | 0.5232          |
| 0.5065        | 0.5476 | 338  | 0.5217          |
| 0.4899        | 0.5687 | 351  | 0.5212          |
| 0.5022        | 0.5897 | 364  | 0.5188          |
| 0.4932        | 0.6108 | 377  | 0.5162          |
| 0.4956        | 0.6318 | 390  | 0.5146          |
| 0.4999        | 0.6529 | 403  | 0.5142          |
| 0.5034        | 0.6740 | 416  | 0.5127          |
| 0.4962        | 0.6950 | 429  | 0.5107          |
| 0.4947        | 0.7161 | 442  | 0.5101          |
| 0.4885        | 0.7371 | 455  | 0.5092          |
| 0.4811        | 0.7582 | 468  | 0.5073          |
| 0.4965        | 0.7793 | 481  | 0.5069          |
| 0.4823        | 0.8003 | 494  | 0.5059          |
| 0.4747        | 0.8214 | 507  | 0.5052          |
| 0.4974        | 0.8424 | 520  | 0.5051          |
| 0.4928        | 0.8635 | 533  | 0.5049          |
| 0.4859        | 0.8846 | 546  | 0.5044          |
| 0.4899        | 0.9056 | 559  | 0.5040          |
| 0.4827        | 0.9267 | 572  | 0.5039          |
| 0.49          | 0.9478 | 585  | 0.5039          |
| 0.4833        | 0.9688 | 598  | 0.5038          |
| 0.4877        | 0.9899 | 611  | 0.5037          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1