| --- |
| 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 |
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|
| ## Intended uses & limitations |
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|
| More information needed |
|
|
| ## Training and evaluation data |
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|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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| 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 | |
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| ### Framework versions |
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|
| - Transformers 4.35.1 |
| - Pytorch 2.0.1+cu118 |
| - Datasets 2.14.7 |
| - Tokenizers 0.14.1 |
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|
