---
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: 1.8652

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.4098        | 2.5   | 25   | 1.0767          |
| 0.3872        | 5.0   | 50   | 1.2700          |
| 0.0902        | 7.5   | 75   | 1.6628          |
| 0.0294        | 10.0  | 100  | 1.5043          |
| 0.0147        | 12.5  | 125  | 1.6301          |
| 0.007         | 15.0  | 150  | 1.6782          |
| 0.005         | 17.5  | 175  | 1.7262          |
| 0.0026        | 20.0  | 200  | 1.7412          |
| 0.0013        | 22.5  | 225  | 1.7683          |
| 0.0009        | 25.0  | 250  | 1.8120          |
| 0.0008        | 27.5  | 275  | 1.8294          |
| 0.0008        | 30.0  | 300  | 1.8397          |
| 0.0007        | 32.5  | 325  | 1.8466          |
| 0.0007        | 35.0  | 350  | 1.8521          |
| 0.0006        | 37.5  | 375  | 1.8566          |
| 0.0006        | 40.0  | 400  | 1.8599          |
| 0.0006        | 42.5  | 425  | 1.8625          |
| 0.0006        | 45.0  | 450  | 1.8641          |
| 0.0006        | 47.5  | 475  | 1.8653          |
| 0.0005        | 50.0  | 500  | 1.8652          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1