vineetsharma / dialogsum-flan-t5-base

huggingface.co
Total runs: 4
24-hour runs: 0
7-day runs: 2
30-day runs: -1
Model's Last Updated: October 05 2023
text-generation

Introduction of dialogsum-flan-t5-base

Model Details of dialogsum-flan-t5-base

dialogsum-flan-t5-base

This model is a fine-tuned version of google/flan-t5-base on an dialogsum dataset. It achieves the following results on the evaluation set:

  • Loss: 31.1190
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: 1e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3
Training results
Training Loss Epoch Step Validation Loss
33.213 1.0 1558 31.2030
29.4489 2.0 3116 31.1150
29.4301 3.0 4674 31.1190
Framework versions
  • Transformers 4.33.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.13.3

Runs of vineetsharma dialogsum-flan-t5-base on huggingface.co

4
Total runs
0
24-hour runs
0
3-day runs
2
7-day runs
-1
30-day runs

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dialogsum-flan-t5-base install

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