wyuancs's picture
End of training
3418b3b
metadata
license: apache-2.0
base_model: t5-small
tags:
  - generated_from_trainer
metrics:
  - rouge
  - bleu
model-index:
  - name: Fine_Tuned_T5_small_for_DailyDialog
    results: []

Fine_Tuned_T5_small_for_DailyDialog

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

  • Loss: 0.5891
  • Rouge1: 11.0459
  • Rouge2: 2.2404
  • Rougel: 10.5072
  • Rougelsum: 10.7781
  • Bleu: 0.8903
  • Gen Len: 7.111

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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 10
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Bleu Gen Len
2.0809 1.0 313 1.7698 9.3634 1.6744 8.9437 9.0705 0.6728 8.217
1.4771 2.0 626 1.3016 10.1104 1.7728 9.6869 9.8809 0.0 6.527
1.2084 3.0 939 1.0781 10.3142 2.0722 9.8421 10.0426 0.7095 6.272
1.0171 4.0 1252 0.9219 10.299 2.107 9.8825 10.1102 0.7598 6.246
0.9029 5.0 1565 0.7993 10.5767 2.0701 10.0645 10.3152 0.88 6.94
0.7979 6.0 1878 0.7169 10.618 2.0406 10.0889 10.3652 0.9014 7.047
0.7266 7.0 2191 0.6627 10.8584 2.1613 10.292 10.575 0.8766 6.769
0.692 8.0 2504 0.6231 11.2891 2.2669 10.7278 11.0423 0.9933 7.273
0.6724 9.0 2817 0.5956 11.2029 2.2399 10.6659 10.9419 0.9988 7.512
0.65 10.0 3130 0.5891 11.0459 2.2404 10.5072 10.7781 0.8903 7.111

Framework versions

  • Transformers 4.32.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4
  • Tokenizers 0.13.3