metadata
license: other
library_name: peft
tags:
- llama-factory
- lora
- generated_from_trainer
base_model: /data1/model/llama2/meta-llama/Llama2-13b
model-index:
- name: strategyqa_no_sys
results: []
strategyqa_no_sys
This model is a fine-tuned version of /data1/model/llama2/meta-llama/Llama2-13b on the strategyqa_no_sys dataset. It achieves the following results on the evaluation set:
- Loss: 2.3844
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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 3
- total_train_batch_size: 24
- total_eval_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 20
- num_epochs: 10.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1108 | 0.77 | 50 | 1.1378 |
| 1.0652 | 1.54 | 100 | 1.1236 |
| 0.9679 | 2.31 | 150 | 1.1641 |
| 0.7321 | 3.08 | 200 | 1.3882 |
| 0.5562 | 3.85 | 250 | 1.3443 |
| 0.2699 | 4.62 | 300 | 1.6109 |
| 0.1135 | 5.38 | 350 | 1.9021 |
| 0.0511 | 6.15 | 400 | 2.2162 |
| 0.049 | 6.92 | 450 | 2.0983 |
| 0.0212 | 7.69 | 500 | 2.3844 |
| 0.0107 | 8.46 | 550 | 2.5324 |
| 0.006 | 9.23 | 600 | 2.5657 |
| 0.0131 | 10.0 | 650 | 2.5765 |
Framework versions
- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.2