---
base_model: MingZhong/DialogLED-base-16384
tags:
- generated_from_trainer
- conversatoin_summarizer
model-index:
- name: DialogLED-large-5120-QMSum-finetuned
  results: []
datasets:
- pszemraj/qmsum-cleaned
pipeline_tag: summarization
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# DialogLED-large-5120-QMSum-finetuned

This model is a fine-tuned version of [MingZhong/DialogLED-base-16384](https://huggingface.co/MingZhong/DialogLED-base-16384) on the QMSum dataset.

## Model description

More information needed

## Intended uses & limitations

Dialogue summarization

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 1

### Training results



### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2