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_180-samples_config-2_full_auto
results: []
Llama-31-8B_task-3_180-samples_config-2_full_auto
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: 1.3360
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 |
|---|---|---|---|
| 1.674 | 0.9412 | 8 | 1.6584 |
| 1.5596 | 2.0 | 17 | 1.5302 |
| 1.4536 | 2.9412 | 25 | 1.4046 |
| 1.1955 | 4.0 | 34 | 1.2397 |
| 1.1221 | 4.9412 | 42 | 1.1855 |
| 1.1181 | 6.0 | 51 | 1.1592 |
| 1.1246 | 6.9412 | 59 | 1.1434 |
| 1.0507 | 8.0 | 68 | 1.1335 |
| 0.9763 | 8.9412 | 76 | 1.1265 |
| 0.9776 | 10.0 | 85 | 1.1260 |
| 0.929 | 10.9412 | 93 | 1.1289 |
| 0.8679 | 12.0 | 102 | 1.1548 |
| 0.8616 | 12.9412 | 110 | 1.1690 |
| 0.815 | 14.0 | 119 | 1.2061 |
| 0.6912 | 14.9412 | 127 | 1.2300 |
| 0.6046 | 16.0 | 136 | 1.2953 |
| 0.5919 | 16.9412 | 144 | 1.3360 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1