---
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: 2.2237

## 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 |
|:-------------:|:-------:|:----:|:---------------:|
| 1.822         | 1.1364  | 25   | 1.3842          |
| 0.883         | 2.2727  | 50   | 1.3566          |
| 0.4979        | 3.4091  | 75   | 1.5563          |
| 0.1678        | 4.5455  | 100  | 1.7178          |
| 0.088         | 5.6818  | 125  | 1.7917          |
| 0.0517        | 6.8182  | 150  | 1.8856          |
| 0.0407        | 7.9545  | 175  | 1.8559          |
| 0.0263        | 9.0909  | 200  | 1.9859          |
| 0.0192        | 10.2273 | 225  | 1.9196          |
| 0.0096        | 11.3636 | 250  | 2.0297          |
| 0.0112        | 12.5    | 275  | 2.0220          |
| 0.0033        | 13.6364 | 300  | 2.0524          |
| 0.0032        | 14.7727 | 325  | 2.1544          |
| 0.0024        | 15.9091 | 350  | 2.1657          |
| 0.0034        | 17.0455 | 375  | 2.1844          |
| 0.0021        | 18.1818 | 400  | 2.1901          |
| 0.0021        | 19.3182 | 425  | 2.2049          |
| 0.0021        | 20.4545 | 450  | 2.2152          |
| 0.0018        | 21.5909 | 475  | 2.2216          |
| 0.0021        | 22.7273 | 500  | 2.2237          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1