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DialogLED-base-16384-samsum-finetuned

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metadata
base_model: MingZhong/DialogLED-base-16384
tags:
  - generated_from_trainer
  - dialogue_summarization
  - summary
  - conversation_summarization
model-index:
  - name: DialogLED-base-16384-sumsum-finetuned
    results: []
datasets:
  - samsum
pipeline_tag: summarization

DialogLED-base-16384-sumsum-finetuned

This model is a fine-tuned version of 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