---
license: llama2
library_name: peft
tags:
- generated_from_trainer
base_model: meta-llama/Llama-2-7b-hf
model-index:
- name: llama_2_7b_Magiccoder_evol_downNupNgateNqNkNvNo_r8_lr0.0001_bg88_alpha8_0_41_normlayergrad
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# llama_2_7b_Magiccoder_evol_downNupNgateNqNkNvNo_r8_lr0.0001_bg88_alpha8_0_41_normlayergrad

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: 1.1291

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 1.3048        | 0.0203 | 31   | 1.2412          |
| 1.1685        | 0.0405 | 62   | 1.2116          |
| 1.1585        | 0.0608 | 93   | 1.1957          |
| 1.1653        | 0.0810 | 124  | 1.1848          |
| 1.1337        | 0.1013 | 155  | 1.1766          |
| 1.1308        | 0.1215 | 186  | 1.1674          |
| 1.1602        | 0.1418 | 217  | 1.1661          |
| 1.1277        | 0.1620 | 248  | 1.1611          |
| 1.1375        | 0.1823 | 279  | 1.1615          |
| 1.1095        | 0.2025 | 310  | 1.1582          |
| 1.1043        | 0.2228 | 341  | 1.1551          |
| 1.1269        | 0.2431 | 372  | 1.1511          |
| 1.1175        | 0.2633 | 403  | 1.1533          |
| 1.1252        | 0.2836 | 434  | 1.1491          |
| 1.1192        | 0.3038 | 465  | 1.1513          |
| 1.1074        | 0.3241 | 496  | 1.1437          |
| 1.117         | 0.3443 | 527  | 1.1459          |
| 1.1058        | 0.3646 | 558  | 1.1427          |
| 1.1144        | 0.3848 | 589  | 1.1416          |
| 1.0913        | 0.4051 | 620  | 1.1435          |
| 1.111         | 0.4254 | 651  | 1.1388          |
| 1.1239        | 0.4456 | 682  | 1.1397          |
| 1.1074        | 0.4659 | 713  | 1.1402          |
| 1.1076        | 0.4861 | 744  | 1.1396          |
| 1.0887        | 0.5064 | 775  | 1.1374          |
| 1.0872        | 0.5266 | 806  | 1.1358          |
| 1.0802        | 0.5469 | 837  | 1.1351          |
| 1.0812        | 0.5671 | 868  | 1.1338          |
| 1.097         | 0.5874 | 899  | 1.1352          |
| 1.1052        | 0.6076 | 930  | 1.1352          |
| 1.088         | 0.6279 | 961  | 1.1328          |
| 1.0977        | 0.6482 | 992  | 1.1315          |
| 1.0902        | 0.6684 | 1023 | 1.1312          |
| 1.1085        | 0.6887 | 1054 | 1.1309          |
| 1.0956        | 0.7089 | 1085 | 1.1294          |
| 1.0897        | 0.7292 | 1116 | 1.1310          |
| 1.0816        | 0.7494 | 1147 | 1.1304          |
| 1.0995        | 0.7697 | 1178 | 1.1296          |
| 1.1032        | 0.7899 | 1209 | 1.1292          |
| 1.0878        | 0.8102 | 1240 | 1.1297          |
| 1.0988        | 0.8304 | 1271 | 1.1294          |
| 1.0915        | 0.8507 | 1302 | 1.1294          |
| 1.0823        | 0.8710 | 1333 | 1.1295          |
| 1.0867        | 0.8912 | 1364 | 1.1289          |
| 1.098         | 0.9115 | 1395 | 1.1290          |
| 1.1071        | 0.9317 | 1426 | 1.1292          |
| 1.061         | 0.9520 | 1457 | 1.1291          |
| 1.0708        | 0.9722 | 1488 | 1.1292          |
| 1.0977        | 0.9925 | 1519 | 1.1291          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.16.1
- Tokenizers 0.19.1