---
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: 2.3076

## 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 |
|:-------------:|:-------:|:----:|:---------------:|
| 0.146         | 1.4706  | 25   | 2.0147          |
| 0.1176        | 2.9412  | 50   | 1.8274          |
| 0.0611        | 4.4118  | 75   | 1.8771          |
| 0.0417        | 5.8824  | 100  | 1.9553          |
| 0.0388        | 7.3529  | 125  | 1.8213          |
| 0.0209        | 8.8235  | 150  | 2.0744          |
| 0.0198        | 10.2941 | 175  | 2.0470          |
| 0.0103        | 11.7647 | 200  | 2.1113          |
| 0.0089        | 13.2353 | 225  | 2.0668          |
| 0.0062        | 14.7059 | 250  | 2.0936          |
| 0.0082        | 16.1765 | 275  | 2.0592          |
| 0.0044        | 17.6471 | 300  | 2.1819          |
| 0.0025        | 19.1176 | 325  | 2.2406          |
| 0.0021        | 20.5882 | 350  | 2.2534          |
| 0.0021        | 22.0588 | 375  | 2.2745          |
| 0.0018        | 23.5294 | 400  | 2.2877          |
| 0.0018        | 25.0    | 425  | 2.2974          |
| 0.0016        | 26.4706 | 450  | 2.3034          |
| 0.0017        | 27.9412 | 475  | 2.3066          |
| 0.0016        | 29.4118 | 500  | 2.3076          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1