metadata

base_model: MingZhong/DialogLED-base-16384
tags:
  - generated_from_trainer
  - summarization
  - dialogue_summarization
  - conversation_summarization
  - summary
  - long_dialog_summarization
model-index:
  - name: DialogLED-base-16384-dialogsum-finetuned
    results: []
datasets:
  - knkarthick/dialogsum

DialogLED-base-16384-dialogsum-finetuned

This model is a fine-tuned version of MingZhong/DialogLED-base-16384 on the dialogsum dataset.

Model description

More information needed

Intended uses & limitations

Used for conversation summarization. Might work for long dialouges.

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