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README.md
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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-
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This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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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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### 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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<!-- 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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- 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)
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