Model Card for phi-2-alpaca
This is a low-rank adapter for phi-2 fit on the alpaca dataset.
Training Hyperparameters
The model was trained on 1xA100 GPU using PEFT-LORA.
The following hyperparameters were used during training:
- Lora target modules: Wqkv, out_proj
- Lora r: 16
- lora_alpha: 16
- lora_dropout: 0.1
- learning_rate: 5e-05
- per_device_train_batch_size: 1
- gradient_accumulation_steps: 1
- training_steps: 120000
Limitations and Bias
The model is based on a large and diverse dataset, but it may still have limitations and biases in certain areas. Some limitations include:
- Language: The model is designed to work with English text only and may not perform as well in other languages.
In addition, the model may have some bias in terms of the data it was trained on. The dataset includes questions from a variety of sources, but it may not be representative of all populations or perspectives. As a result, the model may perform better or worse for certain types of questions or on certain types of texts.
Inference Providers
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This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API:
The model has no library tag.