---
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
datasets:
- generator
library_name: peft
license: llama3.1
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: ft-raft-hotpot
  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. -->

# ft-raft-hotpot

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 generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8450

## 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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 1399
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 500

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.61          | 0.0148 | 20   | 1.3531          |
| 1.1917        | 0.0295 | 40   | 1.0786          |
| 1.0438        | 0.0443 | 60   | 1.0227          |
| 1.0087        | 0.0590 | 80   | 0.9971          |
| 0.9835        | 0.0738 | 100  | 0.9795          |
| 0.9753        | 0.0885 | 120  | 0.9651          |
| 0.9586        | 0.1033 | 140  | 0.9521          |
| 0.9504        | 0.1180 | 160  | 0.9419          |
| 0.937         | 0.1328 | 180  | 0.9312          |
| 0.9242        | 0.1475 | 200  | 0.9203          |
| 0.9073        | 0.1623 | 220  | 0.9111          |
| 0.9017        | 0.1771 | 240  | 0.9023          |
| 0.8956        | 0.1918 | 260  | 0.8939          |
| 0.8824        | 0.2066 | 280  | 0.8856          |
| 0.8776        | 0.2213 | 300  | 0.8784          |
| 0.8755        | 0.2361 | 320  | 0.8710          |
| 0.8746        | 0.2508 | 340  | 0.8646          |
| 0.8569        | 0.2656 | 360  | 0.8592          |
| 0.8499        | 0.2803 | 380  | 0.8547          |
| 0.8514        | 0.2951 | 400  | 0.8509          |
| 0.8541        | 0.3098 | 420  | 0.8484          |
| 0.856         | 0.3246 | 440  | 0.8465          |
| 0.8397        | 0.3394 | 460  | 0.8455          |
| 0.8402        | 0.3541 | 480  | 0.8451          |
| 0.8497        | 0.3689 | 500  | 0.8450          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1