---
base_model: meta-llama/Llama-2-7b-hf
library_name: peft
license: llama2
tags:
- generated_from_trainer
model-index:
- name: Llama-2-7b-hf_alpaca_l0.0002_64
  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-hf_alpaca_l0.0002_64

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: 1.8601

## 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: 1
- eval_batch_size: 1
- seed: 0
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.6202        | 0.0003 | 1    | 3.0762          |
| 2.6666        | 0.0587 | 187  | 1.8770          |
| 1.7798        | 0.1174 | 374  | 1.8649          |
| 1.2423        | 0.1761 | 561  | 1.8500          |
| 1.8612        | 0.2348 | 748  | 1.8302          |
| 2.4881        | 0.2935 | 935  | 1.8006          |
| 1.4485        | 0.3522 | 1122 | 1.7991          |
| 1.5146        | 0.4108 | 1309 | 1.7960          |
| 2.6745        | 0.4695 | 1496 | 1.7855          |
| 1.9274        | 0.5282 | 1683 | 1.7762          |
| 1.513         | 0.5869 | 1870 | 1.7980          |
| 1.5592        | 0.6456 | 2057 | 1.7869          |
| 2.1852        | 0.7043 | 2244 | 1.7769          |
| 2.6543        | 0.7630 | 2431 | 1.7652          |
| 1.5979        | 0.8217 | 2618 | 1.7699          |
| 1.4931        | 0.8804 | 2805 | 1.7789          |
| 2.2424        | 0.9391 | 2992 | 1.7650          |
| 2.4854        | 0.9978 | 3179 | 1.7612          |
| 1.919         | 1.0565 | 3366 | 1.7820          |
| 1.4761        | 1.1151 | 3553 | 1.7859          |
| 1.4896        | 1.1738 | 3740 | 1.7995          |
| 1.9012        | 1.2325 | 3927 | 1.7946          |
| 1.5116        | 1.2912 | 4114 | 1.7820          |
| 1.3375        | 1.3499 | 4301 | 1.7904          |
| 1.4638        | 1.4086 | 4488 | 1.7950          |
| 2.1193        | 1.4673 | 4675 | 1.7846          |
| 1.6988        | 1.5260 | 4862 | 1.7796          |
| 1.3372        | 1.5847 | 5049 | 1.7925          |
| 2.6208        | 1.6434 | 5236 | 1.7919          |
| 1.7047        | 1.7021 | 5423 | 1.7857          |
| 1.5075        | 1.7608 | 5610 | 1.7819          |
| 1.4335        | 1.8195 | 5797 | 1.7827          |
| 1.7568        | 1.8781 | 5984 | 1.7856          |
| 1.7741        | 1.9368 | 6171 | 1.7868          |
| 1.4932        | 1.9955 | 6358 | 1.7806          |
| 1.1958        | 2.0542 | 6545 | 1.8435          |
| 1.1367        | 2.1129 | 6732 | 1.8846          |
| 1.4458        | 2.1716 | 6919 | 1.9109          |
| 1.5333        | 2.2303 | 7106 | 1.8770          |
| 1.0424        | 2.2890 | 7293 | 1.8513          |
| 1.2111        | 2.3477 | 7480 | 1.8935          |
| 1.7277        | 2.4064 | 7667 | 1.8808          |
| 1.3649        | 2.4651 | 7854 | 1.8673          |
| 1.2604        | 2.5238 | 8041 | 1.8607          |
| 1.2043        | 2.5824 | 8228 | 1.9074          |
| 1.4994        | 2.6411 | 8415 | 1.8945          |
| 1.3154        | 2.6998 | 8602 | 1.8548          |
| 1.1699        | 2.7585 | 8789 | 1.8641          |
| 1.3141        | 2.8172 | 8976 | 1.8766          |
| 1.7191        | 2.8759 | 9163 | 1.8762          |
| 1.3169        | 2.9346 | 9350 | 1.8554          |
| 1.1747        | 2.9933 | 9537 | 1.8603          |


### Framework versions

- PEFT 0.12.1.dev0
- Transformers 4.45.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1