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---
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) |