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-1_180-samples_config-1_full
results: []
Llama-31-8B_task-1_180-samples_config-1_full
This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6062
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: 8
- total_train_batch_size: 8
- 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 |
|---|---|---|---|
| 2.203 | 1.0 | 17 | 2.1026 |
| 1.4704 | 2.0 | 34 | 1.3812 |
| 0.9871 | 3.0 | 51 | 1.0200 |
| 0.8739 | 4.0 | 68 | 0.9493 |
| 0.8392 | 5.0 | 85 | 0.8938 |
| 0.7701 | 6.0 | 102 | 0.8679 |
| 0.6585 | 7.0 | 119 | 0.8812 |
| 0.5569 | 8.0 | 136 | 0.9444 |
| 0.3568 | 9.0 | 153 | 1.1293 |
| 0.2586 | 10.0 | 170 | 1.2246 |
| 0.1738 | 11.0 | 187 | 1.3852 |
| 0.1252 | 12.0 | 204 | 1.4786 |
| 0.1 | 13.0 | 221 | 1.6062 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1