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
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