| | --- |
| | license: other |
| | base_model: microsoft/Orca-2-13b |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: qlora-out |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | [<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl) |
| | # qlora-out |
| |
|
| | This model is a fine-tuned version of [microsoft/Orca-2-13b](https://huggingface.co/microsoft/Orca-2-13b) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.5966 |
| |
|
| | ## 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: 2 |
| | - eval_batch_size: 2 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 4 |
| | - total_train_batch_size: 8 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: cosine |
| | - lr_scheduler_warmup_steps: 50 |
| | - num_epochs: 2 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 1.645 | 0.23 | 100 | 1.6467 | |
| | | 1.6459 | 0.45 | 200 | 1.6197 | |
| | | 1.5916 | 0.68 | 300 | 1.6115 | |
| | | 1.3587 | 0.9 | 400 | 1.6088 | |
| | | 1.5232 | 1.12 | 500 | 1.6029 | |
| | | 1.7568 | 1.34 | 600 | 1.6010 | |
| | | 1.6536 | 1.57 | 700 | 1.5978 | |
| | | 1.7821 | 1.8 | 800 | 1.5966 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.35.1 |
| | - Pytorch 2.0.1+cu118 |
| | - Datasets 2.14.7 |
| | - Tokenizers 0.14.1 |
| |
|
