metadata
library_name: peft
license: other
base_model: meta-llama/Llama-3.1-8B-Instruct
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: Limo_llama
results: []
Limo_llama
This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct on the Limo dataset. It achieves the following results on the evaluation set:
- Loss: 0.7616
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: 8e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- total_eval_batch_size: 4
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9047 | 1.0 | 12 | 0.9276 |
| 0.8453 | 2.0 | 24 | 0.8575 |
| 0.7935 | 3.0 | 36 | 0.8197 |
| 0.7744 | 4.0 | 48 | 0.7953 |
| 0.7254 | 5.0 | 60 | 0.7805 |
| 0.7332 | 6.0 | 72 | 0.7704 |
| 0.7149 | 7.0 | 84 | 0.7655 |
| 0.7298 | 8.0 | 96 | 0.7627 |
| 0.7228 | 9.0 | 108 | 0.7619 |
| 0.7103 | 10.0 | 120 | 0.7616 |
Framework versions
- PEFT 0.15.2
- Transformers 4.52.4
- Pytorch 2.8.0+cu129
- Datasets 3.6.0
- Tokenizers 0.21.4