---
library_name: transformers
license: other
base_model: meta-llama/Llama-3.1-8B
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: llama
  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. -->

# llama

This model is a fine-tuned version of [/inspire/hdd/ws-8207e9e2-e733-4eec-a475-cfa1c36480ba/embodied-multimodality/public/yli/workspace/Model/meta-llama/Llama-3.1-8B](https://huggingface.co//inspire/hdd/ws-8207e9e2-e733-4eec-a475-cfa1c36480ba/embodied-multimodality/public/yli/workspace/Model/meta-llama/Llama-3.1-8B) on the 2wikimultihopqa_train_clear_query, the hotpotqa_train_clear_query and the musique_train_clear_query datasets.
It achieves the following results on the evaluation set:
- Loss: 0.1830

## 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: 1e-05
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- total_eval_batch_size: 8
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.2035        | 0.2332 | 500  | 0.1948          |
| 0.2163        | 0.4664 | 1000 | 0.1840          |
| 0.2017        | 0.6996 | 1500 | 0.1708          |
| 0.1812        | 0.9328 | 2000 | 0.1635          |
| 0.1083        | 1.1660 | 2500 | 0.1655          |
| 0.1022        | 1.3993 | 3000 | 0.1597          |
| 0.1031        | 1.6325 | 3500 | 0.1551          |
| 0.0986        | 1.8657 | 4000 | 0.1479          |
| 0.0296        | 2.0989 | 4500 | 0.1816          |
| 0.0293        | 2.3321 | 5000 | 0.1825          |
| 0.0324        | 2.5653 | 5500 | 0.1819          |
| 0.0253        | 2.7985 | 6000 | 0.1833          |


### Framework versions

- Transformers 4.46.1
- Pytorch 2.4.0
- Datasets 3.1.0
- Tokenizers 0.20.3