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--- |
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license_name: microsoft-research-license |
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license_link: https://huggingface.co/microsoft/phi-2/resolve/main/LICENSE |
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language: |
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- en |
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pipeline_tag: text-generation |
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base_model: microsoft/phi-2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: phi-2-instruct |
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results: [] |
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datasets: |
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- HuggingFaceH4/ultrachat_200k |
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library_name: adapter-transformers |
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license: mit |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# phi-2-instruct |
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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. |
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## Model description |
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More information about the model architecture and specific modifications made during fine-tuning is needed. |
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## Intended uses & limitations |
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More information about the intended use cases and any limitations of the model is needed. |
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## Training and evaluation data |
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More information about the datasets used for training and evaluation is needed. |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0002 |
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- train_batch_size: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9, 0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- training_steps: 51967 |
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### Training results |
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Detailed training results and performance metrics are not provided. It's recommended to reach out to the model creator for more information. |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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## Evaluation and Inference Example |
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- 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). |
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## Full Training Metrics on TensorBoard |
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View the full training metrics on TensorBoard [here](https://huggingface.co/venkycs/phi-2-instruct/tensorboard). |
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## Author's LinkedIn Profile |
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[venkycs](https://linkedin.com/in/venkycs) |
