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
• 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