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t5-flan-semantic

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t5-flan-semantic / README.md
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metadata
license: apache-2.0
base_model: google/flan-t5-base
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: t5-flan-semantic
    results: []

t5-flan-semantic

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

  • Loss: 0.0000
  • Rouge1: 1.0
  • Rouge2: 1.0
  • Rougel: 1.0
  • Rougelsum: 1.0

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: 0.0003
  • train_batch_size: 8
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 30

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum
No log 1.0 1 0.0000 1.0 1.0 1.0 1.0
No log 2.0 2 0.0000 1.0 1.0 1.0 1.0
No log 3.0 3 0.0000 1.0 1.0 1.0 1.0
No log 4.0 4 0.0000 1.0 1.0 1.0 1.0
No log 5.0 5 0.0000 1.0 1.0 1.0 1.0
No log 6.0 6 0.0002 1.0 1.0 1.0 1.0
No log 7.0 7 0.0283 1.0 1.0 1.0 1.0
No log 8.0 8 0.0007 1.0 1.0 1.0 1.0
No log 9.0 9 0.0000 1.0 1.0 1.0 1.0
No log 10.0 10 0.0000 1.0 1.0 1.0 1.0
No log 11.0 11 0.0000 1.0 1.0 1.0 1.0
No log 12.0 12 0.0000 1.0 1.0 1.0 1.0
No log 13.0 13 0.0000 1.0 1.0 1.0 1.0
No log 14.0 14 0.0000 1.0 1.0 1.0 1.0
No log 15.0 15 0.0000 1.0 1.0 1.0 1.0
No log 16.0 16 0.0000 1.0 1.0 1.0 1.0
No log 17.0 17 0.0000 1.0 1.0 1.0 1.0
No log 18.0 18 0.0000 1.0 1.0 1.0 1.0
No log 19.0 19 0.0000 1.0 1.0 1.0 1.0
No log 20.0 20 0.0000 1.0 1.0 1.0 1.0
No log 21.0 21 0.0000 1.0 1.0 1.0 1.0
No log 22.0 22 0.0000 1.0 1.0 1.0 1.0
No log 23.0 23 0.0000 1.0 1.0 1.0 1.0
No log 24.0 24 0.0000 1.0 1.0 1.0 1.0
No log 25.0 25 0.0000 1.0 1.0 1.0 1.0
No log 26.0 26 0.0000 1.0 1.0 1.0 1.0
No log 27.0 27 0.0000 1.0 1.0 1.0 1.0
No log 28.0 28 0.0000 1.0 1.0 1.0 1.0
No log 29.0 29 0.0000 1.0 1.0 1.0 1.0
No log 30.0 30 0.0000 1.0 1.0 1.0 1.0

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu118
  • Datasets 2.14.7
  • Tokenizers 0.15.0