| # flan-t5-base-fine-tuned | |
| This repository contains the fine-tuned version of the `flan-t5-base` model for [specific task, e.g., text summarization, question answering, etc.]. | |
| ## Model Details | |
| - **Base Model**: [Flan-T5 Base](https://huggingface.co/google/flan-t5-base) | |
| - **Fine-Tuned On**: [Dataset name or custom dataset, e.g., CNN/DailyMail, SQuAD, etc.] | |
| - **Task**: [Task name, e.g., text generation, summarization, classification, etc.] | |
| - **Framework**: [Transformers](https://github.com/huggingface/transformers) | |
| ## Usage | |
| You can use this model with the Hugging Face `transformers` library. | |
| ## Dataset | |
| The model was fine-tuned on the [dataset name] dataset. Below is an example of the data: | |
| - Input: what is golang? | |
| - Output: A statically typed, compiled high-level general purpose programming language. | |
| ## Limitations | |
| - The model may struggle with [specific limitation, e.g., long inputs, out-of-domain data, etc.]. | |
| - Outputs may occasionally contain biases present in the training data. |