---
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: 1.6596

## 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: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.7073        | 0.4162 | 50   | 1.5993          |
| 1.4004        | 0.8325 | 100  | 1.4527          |
| 1.3051        | 1.2487 | 150  | 1.4122          |
| 1.2396        | 1.6649 | 200  | 1.3871          |
| 1.2044        | 2.0812 | 250  | 1.3906          |
| 1.1019        | 2.4974 | 300  | 1.3775          |
| 1.2682        | 2.9136 | 350  | 1.3649          |
| 1.1681        | 3.3299 | 400  | 1.4233          |
| 1.1343        | 3.7461 | 450  | 1.4160          |
| 0.7987        | 4.1623 | 500  | 1.4964          |
| 0.8663        | 4.5786 | 550  | 1.5011          |
| 0.7473        | 4.9948 | 600  | 1.4845          |
| 0.7386        | 5.4110 | 650  | 1.5706          |
| 0.61          | 5.8273 | 700  | 1.5695          |
| 0.4689        | 6.2435 | 750  | 1.6596          |


### Framework versions

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