T5-Base for 10K reports
According to the model card, the model fine-tunes Google's T5-Base to condense lengthy 10K reports into manageable summaries.
Open Source Model Profile · yatharth97
T5-base-10K-summarization is a 222.90M-parameter T5-Base fine-tune from yatharth97. According to the model card, it summarizes financial 10K report sections.
T5-base-10K-summarization is published by yatharth97 as a T5 summarization model. The captured configuration identifies T5ForConditionalGeneration and Safetensors metadata reports 222,903,552 parameters. According to the model card, it fine-tunes Google's T5-Base for financial 10K report sections.
According to the model card, the model fine-tunes Google's T5-Base to condense lengthy 10K reports into manageable summaries.
The captured configuration reports T5ForConditionalGeneration with model type t5 and 222,903,552 parameters, with Transformers support.
According to the model card, it targets financial analysts and regulatory use and may not suit non-financial or informal texts.
According to the model card, training used learning rate 5e-05, train and eval batch size 8, 3 epochs, and linear scheduling.
Source: yatharth97/T5-base-10K-summarization
Captured: Unknown. Processed: 2026-09-07T19:35:01.259950+00:00.
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 s…
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