metadata
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
library_name: peft
license: llama3.1
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: Llama-31-8B_task-3_60-samples_config-2
results: []
Llama-31-8B_task-3_60-samples_config-2
This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5110
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: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.4485 | 0.6957 | 2 | 2.4418 |
| 2.3693 | 1.7391 | 5 | 2.0528 |
| 1.7056 | 2.7826 | 8 | 1.2637 |
| 1.1524 | 3.8261 | 11 | 0.6909 |
| 0.568 | 4.8696 | 14 | 0.5483 |
| 0.5339 | 5.9130 | 17 | 0.4959 |
| 0.4507 | 6.9565 | 20 | 0.4587 |
| 0.3073 | 8.0 | 23 | 0.4425 |
| 0.4037 | 8.6957 | 25 | 0.4284 |
| 0.3191 | 9.7391 | 28 | 0.4162 |
| 0.3306 | 10.7826 | 31 | 0.4068 |
| 0.2342 | 11.8261 | 34 | 0.4073 |
| 0.2395 | 12.8696 | 37 | 0.4246 |
| 0.1509 | 13.9130 | 40 | 0.4373 |
| 0.2333 | 14.9565 | 43 | 0.4344 |
| 0.1348 | 16.0 | 46 | 0.4878 |
| 0.1198 | 16.6957 | 48 | 0.5004 |
| 0.0922 | 17.7391 | 51 | 0.5110 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1