---
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
datasets:
- hansh/hansken_hql_cot
library_name: peft
license: llama3.1
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
model-index:
- name: hansken_human_hql_v3
  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. -->

# hansken_human_hql_v3

This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co./meta-llama/Meta-Llama-3.1-8B-Instruct) on the hansh/hansken_hql_cot dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5017

## 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: 42
- distributed_type: multi-GPU
- 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: 0.1
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6267        | 1.0   | 469  | 0.6078          |
| 0.5094        | 2.0   | 938  | 0.5335          |
| 0.513         | 3.0   | 1407 | 0.5142          |
| 0.4306        | 4.0   | 1876 | 0.5044          |
| 0.4128        | 5.0   | 2345 | 0.5017          |
| 0.3924        | 6.0   | 2814 | 0.5093          |
| 0.3684        | 7.0   | 3283 | 0.5168          |
| 0.3403        | 8.0   | 3752 | 0.5338          |
| 0.311         | 9.0   | 4221 | 0.5566          |
| 0.2853        | 10.0  | 4690 | 0.5920          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.43.1
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1