---
tags:
- generated_from_trainer
- summarization
- finance
model-index:
- name: BART-10K-Summarization
  results: []
---

# BART-10K-Summarization

This model is a fine-tuned version of Facebook's BART model specifically for summarizing financial 10K report sections.

## Model description

BART-10K-Summarization is designed to produce concise summaries of detailed financial reports, assisting analysts and stakeholders in quickly understanding key information without needing to parse the entire document.

## Intended uses & limitations

This model is intended to aid financial analysts, investors, and regulatory bodies by summarizing sections of 10K reports. It may not perform well on non-financial texts or highly technical documents outside the scope of standard financial reporting.

## Training and evaluation data

The model was trained on a curated dataset of 10K financial reports, each annotated with executive summaries by experienced financial analysts.

## 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