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yatharth97/T5-base-10K-summarization

sourceHugging Faceupdated 2y agoView on Hugging Face

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T5-Base-10K-Summarization

This model is a fine-tuned version of Google's T5-Base model tailored for summarizing financial 10K report sections.

Model description

T5-Base-10K-Summarization is optimized to condense lengthy 10K reports into manageable summaries, enabling quick insights into financial data and trends.

Intended uses & limitations

Ideal for use by financial analysts and regulatory agencies needing rapid insights from 10K reports. It may not be suited for summarizing non-financial documents or informal texts.

Training and evaluation data

Trained on a diverse collection of 10K reports from various industries, annotated for summarization to ensure broad applicability and accuracy.

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

—learning_rate: 5e-05
—trainbatchsize: 8
—evalbatchsize: 8
—seed: 42
—optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
—lrschedulertype: linear
—num_epochs: 3.0

Framework versions

—Transformers 4.40.0
—Pytorch 2.2.1+cu121
—Tokenizers 0.19.1