Create README.md

README.md

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+---
+datasets:
+- tatsu-lab/alpaca
+language:
+- en
+
+pipeline_tag: text2text-generation
+---
+
+
+# Model Details
+
+- **Model name:** alpaca-flan-T5-large
+- **Model type:** - Text2Text Generation
+- **Parent Model:** [google/flan-t5-large](https://huggingface.co/google/flan-t5-large)
+- **Training dataset:** [Alpaca](https://huggingface.co/datasets/tatsu-lab/alpaca) 
+- **Language:** English
+- **Framework:** PyTorch
+- **Model version:** 1.0
+
+
+# Intended Use
+
+
+# How to Use
+
+```python
+from transformers import pipeline
+
+
+
+```
+
+
+# Training Details
+
+The model was trained on 3xV100 GPUs
+
+Hyperparameters:
+learning_rate = 5e-5
+batch_size = 128
+epochs = 3
+
+
+```
+
+
+
+# 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.