---
license: llama3
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: meta-llama/Meta-Llama-3-8B-Instruct
model-index:
- name: experiments
  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. -->

# experiments

This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1279

## 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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 70
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 1.3621        | 3.4964  | 420  | 1.4379          |
| 1.1954        | 6.9927  | 840  | 1.4208          |
| 0.8507        | 10.4891 | 1260 | 1.5712          |
| 0.789         | 13.9854 | 1680 | 1.6759          |
| 0.5388        | 17.4818 | 2100 | 1.9153          |
| 0.4013        | 20.9781 | 2520 | 2.0319          |
| 0.2933        | 24.4745 | 2940 | 2.2094          |
| 0.207         | 27.9709 | 3360 | 2.3547          |
| 0.1604        | 31.4672 | 3780 | 2.5483          |
| 0.1154        | 34.9636 | 4200 | 2.5953          |
| 0.0982        | 38.4599 | 4620 | 2.7355          |
| 0.0954        | 41.9563 | 5040 | 2.8220          |
| 0.0677        | 45.4527 | 5460 | 2.8909          |
| 0.0613        | 48.9490 | 5880 | 2.9654          |
| 0.0482        | 52.4454 | 6300 | 3.0125          |
| 0.0415        | 55.9417 | 6720 | 3.0390          |
| 0.0477        | 59.4381 | 7140 | 3.0992          |
| 0.0412        | 62.9344 | 7560 | 3.1126          |
| 0.0327        | 66.4308 | 7980 | 3.1262          |
| 0.0391        | 69.9272 | 8400 | 3.1279          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 1.13.1+cu117
- Datasets 2.19.2
- Tokenizers 0.19.1