---
license: apache-2.0
library_name: peft
tags:
- unsloth
- generated_from_trainer
base_model: unsloth/llama-2-7b-bnb-4bit
model-index:
- name: llama_2_7b_Magiccoder_evol_10k_qlora_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_Magiccoder_evol_10k_qlora_ortho

This model is a fine-tuned version of [unsloth/llama-2-7b-bnb-4bit](https://huggingface.co/unsloth/llama-2-7b-bnb-4bit) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1526

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 1.3112        | 0.0262 | 4    | 1.3071          |
| 1.2618        | 0.0523 | 8    | 1.2507          |
| 1.1942        | 0.0785 | 12   | 1.2344          |
| 1.1464        | 0.1047 | 16   | 1.2197          |
| 1.1847        | 0.1308 | 20   | 1.2100          |
| 1.1386        | 0.1570 | 24   | 1.2049          |
| 1.1422        | 0.1832 | 28   | 1.1980          |
| 1.1842        | 0.2093 | 32   | 1.1905          |
| 1.1147        | 0.2355 | 36   | 1.1862          |
| 1.1942        | 0.2617 | 40   | 1.1814          |
| 1.1704        | 0.2878 | 44   | 1.1771          |
| 1.2081        | 0.3140 | 48   | 1.1754          |
| 1.1866        | 0.3401 | 52   | 1.1731          |
| 1.1538        | 0.3663 | 56   | 1.1722          |
| 1.2015        | 0.3925 | 60   | 1.1690          |
| 1.1997        | 0.4186 | 64   | 1.1671          |
| 1.146         | 0.4448 | 68   | 1.1648          |
| 1.1609        | 0.4710 | 72   | 1.1629          |
| 1.1125        | 0.4971 | 76   | 1.1641          |
| 1.1983        | 0.5233 | 80   | 1.1624          |
| 1.215         | 0.5495 | 84   | 1.1605          |
| 1.1462        | 0.5756 | 88   | 1.1595          |
| 1.0991        | 0.6018 | 92   | 1.1581          |
| 1.0994        | 0.6280 | 96   | 1.1569          |
| 1.1604        | 0.6541 | 100  | 1.1556          |
| 1.1534        | 0.6803 | 104  | 1.1551          |
| 1.1376        | 0.7065 | 108  | 1.1550          |
| 1.1722        | 0.7326 | 112  | 1.1545          |
| 1.1151        | 0.7588 | 116  | 1.1540          |
| 1.1393        | 0.7850 | 120  | 1.1531          |
| 1.1587        | 0.8111 | 124  | 1.1525          |
| 1.1199        | 0.8373 | 128  | 1.1526          |
| 1.0548        | 0.8635 | 132  | 1.1527          |
| 1.1717        | 0.8896 | 136  | 1.1526          |
| 1.0785        | 0.9158 | 140  | 1.1526          |
| 1.1314        | 0.9419 | 144  | 1.1527          |
| 1.1544        | 0.9681 | 148  | 1.1526          |
| 1.1402        | 0.9943 | 152  | 1.1526          |


### Framework versions

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