transformers tensorboard safetensors led text2text-generation generated_from_trainer dialogue_summarization summary conversation_summarization summarization dataset:samsum base_model:MingZhong/DialogLED-base-16384 base_model:finetune:MingZhong/DialogLED-base-16384 autotrain_compatible endpoints_compatible region:us
---
base_model: MingZhong/DialogLED-base-16384
datasets:
- samsum
pipeline_tag: summarization
tags:
- generated_from_trainer
- dialogue_summarization
- summary
- conversation_summarization
model-index:
- name: DialogLED-base-16384-sumsum-finetuned
  results: []
---

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# DialogLED-base-16384-sumsum-finetuned

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

## Model description

More information needed

## Intended uses & limitations

Used for conversation 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