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MPF-DialogLED-base-16384-dialogsum-3-epochs-finetuned

The model is created as a part of the project: linkwillbeaddedlater.

This model is a fine-tuned version of MingZhong/DialogLED-base-16384 on the dialogsum dataset. It achieves the following results on the evaluation set:

  • Loss: 1.2116

Model description

More information needed

Intended uses & limitations

More information needed

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: 3

Training results

Training Loss Epoch Step Validation Loss
1.4631 0.9 175 1.4061
1.3229 1.8 350 1.2513
1.15 2.7 525 1.2116

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.1.2
  • Datasets 2.18.0
  • Tokenizers 0.15.2
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Dataset used to train StDestiny/MPF-DialogLED-base-16384-dialogsum-3-epochs-finetuned