---
license: other
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: meta-llama/Meta-Llama-3-8B
datasets:
- generator
model-index:
- name: results_packing
  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. -->

# results_packing

This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4308

## 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: 7.5e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.571         | 0.1632 | 250  | 0.4770          |
| 0.401         | 0.3264 | 500  | 0.4632          |
| 0.465         | 0.4896 | 750  | 0.4533          |
| 0.4655        | 0.6527 | 1000 | 0.4458          |
| 0.406         | 0.8159 | 1250 | 0.4436          |
| 0.4921        | 0.9791 | 1500 | 0.4450          |
| 0.5231        | 1.1423 | 1750 | 0.4393          |
| 0.3529        | 1.3055 | 2000 | 0.4324          |
| 0.3498        | 1.4687 | 2250 | 0.4334          |
| 0.55          | 1.6319 | 2500 | 0.4286          |
| 0.3265        | 1.7950 | 2750 | 0.4275          |
| 0.351         | 1.9582 | 3000 | 0.4242          |
| 0.3074        | 2.1214 | 3250 | 0.4334          |
| 0.3342        | 2.2846 | 3500 | 0.4299          |
| 0.343         | 2.4478 | 3750 | 0.4305          |
| 0.3406        | 2.6110 | 4000 | 0.4306          |
| 0.3175        | 2.7742 | 4250 | 0.4308          |
| 0.4474        | 2.9373 | 4500 | 0.4308          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.1.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1