metadata
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: []
llama381binstruct_summarize_short
This model is a fine-tuned version of NousResearch/Meta-Llama-3.1-8B-Instruct on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 1.4158
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 30
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6861 | 1.1905 | 25 | 0.9223 |
| 0.7859 | 2.3810 | 50 | 0.8779 |
| 0.3887 | 3.5714 | 75 | 0.9867 |
| 0.1412 | 4.7619 | 100 | 1.0822 |
| 0.0911 | 5.9524 | 125 | 1.2118 |
| 0.0391 | 7.1429 | 150 | 1.3553 |
| 0.0309 | 8.3333 | 175 | 1.2825 |
| 0.0188 | 9.5238 | 200 | 1.2512 |
| 0.0145 | 10.7143 | 225 | 1.2936 |
| 0.0091 | 11.9048 | 250 | 1.3109 |
| 0.0058 | 13.0952 | 275 | 1.2768 |
| 0.0042 | 14.2857 | 300 | 1.2963 |
| 0.0032 | 15.4762 | 325 | 1.3539 |
| 0.0021 | 16.6667 | 350 | 1.3810 |
| 0.0024 | 17.8571 | 375 | 1.3974 |
| 0.0021 | 19.0476 | 400 | 1.4047 |
| 0.002 | 20.2381 | 425 | 1.4103 |
| 0.0018 | 21.4286 | 450 | 1.4133 |
| 0.0017 | 22.6190 | 475 | 1.4152 |
| 0.0015 | 23.8095 | 500 | 1.4158 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.1
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.20.1