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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: 2.3076
## 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 |