| | --- |
| | license: mit |
| | library_name: peft |
| | tags: |
| | - generated_from_trainer |
| | base_model: microsoft/phi-2 |
| | model-index: |
| | - name: 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. --> |
| |
|
| | # out |
| |
|
| | This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the [open-assistant-guanaco dataset](https://huggingface.co/datasets/timdettmers/openassistant-guanaco). |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.2759 |
| |
|
| |
|
| | ## Training procedure |
| |
|
| | ### Training hyperparameters |
| |
|
| | The following hyperparameters were used during training: |
| | - learning_rate: 2e-05 |
| | - train_batch_size: 1 |
| | - eval_batch_size: 16 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 16 |
| | - total_train_batch_size: 16 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: constant |
| | - num_epochs: 2 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 0.3107 | 0.5 | 276 | 0.3292 | |
| | | 0.2879 | 1.0 | 552 | 0.3003 | |
| | | 0.3 | 1.5 | 828 | 0.2873 | |
| | | 0.3341 | 1.99 | 1104 | 0.2759 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - PEFT 0.7.2.dev0 |
| | - Transformers 4.36.2 |
| | - Pytorch 2.1.0+cu121 |
| | - Datasets 2.16.1 |
| | - Tokenizers 0.15.0 |
