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README.md
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model-index:
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- name: phi-3-mini-sft-indicqa-hindi-v0.1
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results: []
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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-3-mini-sft-indicqa-hindi-v0.1
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This model is a fine-tuned version of [microsoft/Phi-3-mini-128k-instruct](https://huggingface.co/microsoft/Phi-3-mini-128k-instruct) on an unknown dataset.
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 0.0002
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- num_epochs: 1
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- PEFT 0.13.2
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- Transformers 4.44.2
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model-index:
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- name: phi-3-mini-sft-indicqa-hindi-v0.1
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results: []
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datasets:
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- sepiatone/ai4bharat-IndicQA-hi-202410
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- ai4bharat/IndicQA
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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-3-mini-sft-indicqa-hindi-v0.1**
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### model description
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this model is a fine-tuned version of [microsoft/Phi-3-mini-128k-instruct](https://huggingface.co/microsoft/Phi-3-mini-128k-instruct) on the dataset [
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ai4bharat-IndicQA-hi-202410](https://huggingface.co/datasets/sepiatone/ai4bharat-IndicQA-hi-202410).
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prepared by [@sepiatone](https://github.com/sepiatone).
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### intended uses & limitations
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intended for an educational and non-commercial purpose.
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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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- num_epochs: 1
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- mixed_precision_training: Native AMP
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#### library versions
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- PEFT 0.13.2
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- Transformers 4.44.2
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