Flan T5 Large Finetuned Openai Summarize From Feedback

🚀 flan-t5-large-finetuned-openai-summarize_from_feedback

This model is a fine - tuned version of google/flan-t5-large on the summarize_from_feedback dataset. It is designed for text summarization tasks, offering reliable performance in sequence - to - sequence language modeling.

🚀 Quick Start

This model is a fine - tuned version of google/flan-t5-large on the summarize_from_feedback dataset. It achieves the following results on the evaluation set:

• Loss: 2.3118
• Rouge1: 30.2401
• Rouge2: 11.4916
• Rougel: 24.6485
• Rougelsum: 26.1801
• Gen Len: 18.8428

📚 Documentation

Model Information

Model Index

• Name: flan - t5 - large - finetuned - openai - summarize_from_feedback
• Results:
  • Task:
    • Name: Sequence - to - sequence Language Modeling
    • Type: text2text - generation
  • Dataset:
    • Name: summarize_from_feedback
    • Type: summarize_from_feedback
    • Config: comparisons
    • Split: train
    • Args: comparisons
  • Metrics:
    • Rouge1: 30.2401
    • Rouge2: 11.4916
    • RougeL: 24.6485
    • RougeLSum: 26.1801

Training Procedure

Training Hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e - 05
• train_batch_size: 16
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon = 1e - 08
• lr_scheduler_type: linear
• num_epochs: 6

Training Results

See Tensorboard

Framework Versions

• Transformers 4.25.1
• Pytorch 1.13.0+cu116
• Datasets 2.8.0
• Tokenizers 0.13.2

Citation

@misc {manuel_romero_2023,
    author       = { {Manuel Romero} },
    title        = { flan-t5-large-finetuned-openai-summarize_from_feedback (Revision 51666f9) },
    year         = 2023,
    url          = { https://huggingface.co/mrm8488/flan-t5-large-finetuned-openai-summarize_from_feedback },
    doi          = { 10.57967/hf/0266 },
    publisher    = { Hugging Face }
}

📄 License

This model is licensed under the Apache - 2.0 license.