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

# llama3-sudo-sanity

This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1030

## 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: 8
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.8735        | 0.9899 | 49   | 1.8325          |
| 1.8231        | 2.0    | 99   | 1.7239          |
| 1.7516        | 2.9899 | 148  | 1.6330          |
| 1.6586        | 4.0    | 198  | 1.5280          |
| 1.5571        | 4.9899 | 247  | 1.4166          |
| 1.4677        | 6.0    | 297  | 1.3068          |
| 1.3422        | 6.9899 | 346  | 1.2082          |
| 1.2609        | 8.0    | 396  | 1.1378          |
| 1.1647        | 8.9899 | 445  | 1.1074          |
| 1.1571        | 9.8990 | 490  | 1.1030          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1