metadata
license: llama3
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: meta-llama/Meta-Llama-3-8B-Instruct
datasets:
- generator
model-index:
- name: llama3-lora-codigopenal-dir
results: []
llama3-lora-codigopenal-dir
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.6629
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 1399
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4127 | 3.6364 | 20 | 1.4021 |
| 1.3428 | 7.2727 | 40 | 1.2777 |
| 1.1822 | 10.9091 | 60 | 1.1052 |
| 0.9983 | 14.5455 | 80 | 0.9440 |
| 0.825 | 18.1818 | 100 | 0.7987 |
| 0.7081 | 21.8182 | 120 | 0.7390 |
| 0.6527 | 25.4545 | 140 | 0.7078 |
| 0.6046 | 29.0909 | 160 | 0.6855 |
| 0.566 | 32.7273 | 180 | 0.6699 |
| 0.5268 | 36.3636 | 200 | 0.6610 |
| 0.4891 | 40.0 | 220 | 0.6568 |
| 0.4519 | 43.6364 | 240 | 0.6629 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.1.0+cu118
- Datasets 2.19.1
- Tokenizers 0.19.1