---
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: 2.3454

## 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 |
|:-------------:|:-------:|:----:|:---------------:|
| 1.9049        | 1.1905  | 25   | 1.3198          |
| 0.8341        | 2.3810  | 50   | 1.3278          |
| 0.4251        | 3.5714  | 75   | 1.4843          |
| 0.1704        | 4.7619  | 100  | 1.6038          |
| 0.0957        | 5.9524  | 125  | 1.8290          |
| 0.0481        | 7.1429  | 150  | 2.0425          |
| 0.0378        | 8.3333  | 175  | 1.9429          |
| 0.0143        | 9.5238  | 200  | 2.2196          |
| 0.012         | 10.7143 | 225  | 2.1719          |
| 0.013         | 11.9048 | 250  | 2.1323          |
| 0.0069        | 13.0952 | 275  | 2.1442          |
| 0.0043        | 14.2857 | 300  | 2.1642          |
| 0.0033        | 15.4762 | 325  | 2.2483          |
| 0.0029        | 16.6667 | 350  | 2.2829          |
| 0.0024        | 17.8571 | 375  | 2.2906          |
| 0.0027        | 19.0476 | 400  | 2.3140          |
| 0.0023        | 20.2381 | 425  | 2.3269          |
| 0.0019        | 21.4286 | 450  | 2.3399          |
| 0.0021        | 22.6190 | 475  | 2.3443          |
| 0.0022        | 23.8095 | 500  | 2.3454          |


### Framework versions

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