metadata
license: other
library_name: peft
tags:
- llama-factory
- lora
- generated_from_trainer
base_model: meta-llama/Meta-Llama-3-8B
model-index:
- name: sft_trained_woaqa_llama3
results: []
sft_trained_woaqa_llama3
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the sft_wo_aqa_llama3 dataset. It achieves the following results on the evaluation set:
- Loss: 0.8950
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 4.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9813 | 0.63 | 100 | 0.9671 |
| 0.9108 | 1.26 | 200 | 0.9250 |
| 0.8976 | 1.9 | 300 | 0.9091 |
| 0.8687 | 2.53 | 400 | 0.9005 |
| 0.8548 | 3.16 | 500 | 0.8958 |
| 0.8468 | 3.79 | 600 | 0.8952 |
Framework versions
- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2