Text Generation
Adapters
TensorBoard
Safetensors
English
phi-msft
Generated from Trainer
custom_code
Instructions to use venkycs/phi-2-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use venkycs/phi-2-instruct with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("venkycs/phi-2-instruct", set_active=True) - Notebooks
- Google Colab
- Kaggle
| license_name: microsoft-research-license | |
| license_link: https://huggingface.co/microsoft/phi-2/resolve/main/LICENSE | |
| language: | |
| - en | |
| pipeline_tag: text-generation | |
| base_model: microsoft/phi-2 | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: phi-2-instruct | |
| results: [] | |
| datasets: | |
| - HuggingFaceH4/ultrachat_200k | |
| library_name: adapter-transformers | |
| license: mit | |
| <!-- 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. --> | |
| # phi-2-instruct | |
| This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the filtered ultrachat200k dataset using the SFT technique. | |
| ## Model description | |
| More information about the model architecture and specific modifications made during fine-tuning is needed. | |
| ## Intended uses & limitations | |
| More information about the intended use cases and any limitations of the model is needed. | |
| ## Training and evaluation data | |
| More information about the datasets used for training and evaluation is needed. | |
| ## Training procedure | |
| ### Training hyperparameters | |
| The following hyperparameters were used during training: | |
| - learning_rate: 0.0002 | |
| - train_batch_size: 4 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9, 0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: cosine | |
| - training_steps: 51967 | |
| ### Training results | |
| Detailed training results and performance metrics are not provided. It's recommended to reach out to the model creator for more information. | |
| ### Framework versions | |
| - Transformers 4.35.2 | |
| - Pytorch 2.1.0+cu121 | |
| - Datasets 2.15.0 | |
| - Tokenizers 0.15.0 | |
| ## Evaluation and Inference Example | |
| - For an evaluation of the model and an inference example, refer to the [Inference Notebook](https://huggingface.co/venkycs/phi-2-instruct/blob/main/inference_phi_2_instruct.ipynb). | |
| ## Full Training Metrics on TensorBoard | |
| View the full training metrics on TensorBoard [here](https://huggingface.co/venkycs/phi-2-instruct/tensorboard). | |
| ## Author's LinkedIn Profile | |
| [venkycs](https://linkedin.com/in/venkycs) |