---
base_model: NousResearch/Meta-Llama-3.1-8B-Instruct
datasets:
- generator
library_name: peft
license: llama3.1
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: llama381binstruct_summarize_short
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# llama381binstruct_summarize_short

This model is a fine-tuned version of [NousResearch/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3.1-8B-Instruct) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4145

## 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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 30
- training_steps: 500

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 1.4526        | 2.7778  | 25   | 1.3994          |
| 0.3502        | 5.5556  | 50   | 1.6518          |
| 0.0835        | 8.3333  | 75   | 2.0132          |
| 0.0223        | 11.1111 | 100  | 2.0395          |
| 0.0092        | 13.8889 | 125  | 2.2195          |
| 0.0055        | 16.6667 | 150  | 2.1321          |
| 0.0018        | 19.4444 | 175  | 2.2957          |
| 0.0012        | 22.2222 | 200  | 2.3537          |
| 0.0009        | 25.0    | 225  | 2.3708          |
| 0.0008        | 27.7778 | 250  | 2.3797          |
| 0.0009        | 30.5556 | 275  | 2.3879          |
| 0.0008        | 33.3333 | 300  | 2.3933          |
| 0.0008        | 36.1111 | 325  | 2.3986          |
| 0.0009        | 38.8889 | 350  | 2.4036          |
| 0.0008        | 41.6667 | 375  | 2.4068          |
| 0.0006        | 44.4444 | 400  | 2.4093          |
| 0.0007        | 47.2222 | 425  | 2.4115          |
| 0.0006        | 50.0    | 450  | 2.4136          |
| 0.0006        | 52.7778 | 475  | 2.4146          |
| 0.0006        | 55.5556 | 500  | 2.4145          |


### Framework versions

- PEFT 0.13.1
- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0