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--- |
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license: apache-2.0 |
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library_name: peft |
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tags: |
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- pretrained |
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- lora |
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- qlora |
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- 4bit |
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- generated_from_trainer |
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base_model: microsoft/phi-2 |
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model-index: |
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- name: phi-2-role-play |
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results: [] |
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datasets: |
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- hieunguyenminh/roleplay |
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language: |
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- en |
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pipeline_tag: question-answering |
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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-role-play |
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This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset. |
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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: 2 |
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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: linear |
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- num_epochs: 1 |
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### Training results |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.37.1 |
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- Pytorch 2.0.0 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
