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---
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
should probably proofread and complete it, then remove this comment. -->
# 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: 2.5714
## 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 |
|:-------------:|:-------:|:----:|:---------------:|
| 1.7592 | 1.3889 | 25 | 1.5098 |
| 0.7167 | 2.7778 | 50 | 1.5089 |
| 0.4127 | 4.1667 | 75 | 1.7655 |
| 0.0811 | 5.5556 | 100 | 2.0770 |
| 0.0501 | 6.9444 | 125 | 2.2019 |
| 0.0184 | 8.3333 | 150 | 2.2421 |
| 0.0268 | 9.7222 | 175 | 2.1572 |
| 0.0206 | 11.1111 | 200 | 2.2244 |
| 0.0085 | 12.5 | 225 | 2.3922 |
| 0.0056 | 13.8889 | 250 | 2.3233 |
| 0.0032 | 15.2778 | 275 | 2.4017 |
| 0.0021 | 16.6667 | 300 | 2.4708 |
| 0.0021 | 18.0556 | 325 | 2.5064 |
| 0.0014 | 19.4444 | 350 | 2.5270 |
| 0.0016 | 20.8333 | 375 | 2.5422 |
| 0.0014 | 22.2222 | 400 | 2.5534 |
| 0.002 | 23.6111 | 425 | 2.5619 |
| 0.0015 | 25.0 | 450 | 2.5669 |
| 0.0013 | 26.3889 | 475 | 2.5706 |
| 0.0012 | 27.7778 | 500 | 2.5714 |
### Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1 |