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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: 2.3454
## 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 |