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_120-samples_config-1_full
results: []
Llama-31-8B_task-3_120-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: 1.4186
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 |
|---|---|---|---|
| 1.6541 | 1.0 | 11 | 1.6580 |
| 1.4606 | 2.0 | 22 | 1.5146 |
| 1.3657 | 3.0 | 33 | 1.3458 |
| 1.244 | 4.0 | 44 | 1.2034 |
| 1.1606 | 5.0 | 55 | 1.1657 |
| 1.1108 | 6.0 | 66 | 1.1446 |
| 1.062 | 7.0 | 77 | 1.1341 |
| 1.0372 | 8.0 | 88 | 1.1303 |
| 0.9427 | 9.0 | 99 | 1.1413 |
| 0.819 | 10.0 | 110 | 1.1795 |
| 0.8148 | 11.0 | 121 | 1.2101 |
| 0.6121 | 12.0 | 132 | 1.2798 |
| 0.6309 | 13.0 | 143 | 1.3036 |
| 0.3915 | 14.0 | 154 | 1.4030 |
| 0.3014 | 15.0 | 165 | 1.4186 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1