---
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
datasets:
- hansh/hansken_hql_large
library_name: peft
license: llama3.1
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
model-index:
- name: hansken_human_hql_v2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# hansken_human_hql_v2

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_large dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3031

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 0.3676        | 0.9994 | 788  | 0.3796          |
| 0.2968        | 2.0    | 1577 | 0.3381          |
| 0.2658        | 2.9994 | 2365 | 0.3186          |
| 0.2389        | 4.0    | 3154 | 0.3031          |
| 0.2098        | 4.9994 | 3942 | 0.3035          |
| 0.185         | 6.0    | 4731 | 0.3079          |
| 0.1707        | 6.9994 | 5519 | 0.3125          |
| 0.1578        | 8.0    | 6308 | 0.3237          |
| 0.1426        | 8.9994 | 7096 | 0.3326          |


### Framework versions

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