T5-Large-10K-Summarization

This model is a fine-tuned version of Google's T5-Large model, designed to summarize sections of financial 10K reports efficiently.

Model description

T5-Large-10K-Summarization excels in distilling complex financial information into clear, concise summaries, aiding in faster decision-making processes.

Intended uses & limitations

This model is specifically designed for financial professionals needing quick summaries of extensive financial reports. It is not intended for use with general news articles or non-financial documents.

Training and evaluation data

The model was trained on a large corpus of financial reports, each section manually summarized to train the model effectively.

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Framework versions

• Transformers 4.40.0
• Pytorch 2.2.1+cu121
• Tokenizers 0.19.1