---
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_merged
  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_merged

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: 2.7380

## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 30
- training_steps: 500

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.5177        | 2.5   | 25   | 1.7211          |
| 0.432         | 5.0   | 50   | 1.8956          |
| 0.1093        | 7.5   | 75   | 2.5105          |
| 0.0237        | 10.0  | 100  | 2.4890          |
| 0.0133        | 12.5  | 125  | 2.5161          |
| 0.0039        | 15.0  | 150  | 2.5213          |
| 0.0049        | 17.5  | 175  | 2.5015          |
| 0.0025        | 20.0  | 200  | 2.6358          |
| 0.0013        | 22.5  | 225  | 2.7310          |
| 0.0047        | 25.0  | 250  | 2.5421          |
| 0.0013        | 27.5  | 275  | 2.6042          |
| 0.0009        | 30.0  | 300  | 2.6729          |
| 0.0008        | 32.5  | 325  | 2.6970          |
| 0.0007        | 35.0  | 350  | 2.7104          |
| 0.0007        | 37.5  | 375  | 2.7201          |
| 0.0006        | 40.0  | 400  | 2.7271          |
| 0.0006        | 42.5  | 425  | 2.7318          |
| 0.0006        | 45.0  | 450  | 2.7348          |
| 0.0006        | 47.5  | 475  | 2.7373          |
| 0.0006        | 50.0  | 500  | 2.7380          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.20.1