BenjaminOcampo / t5-small_rouge_finetuned_sbic

huggingface.co
Total runs: 6
24-hour runs: 0
7-day runs: -2
30-day runs: -1
Model's Last Updated: October 24 2023
text-generation

Introduction of t5-small_rouge_finetuned_sbic

Model Details of t5-small_rouge_finetuned_sbic

t5-small_rouge_finetuned_sbic

This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0640
  • Rouge1: 77.8685
  • Rouge2: 74.5217
  • Rougel: 77.8247
  • Rougelsum: 77.8156
  • Gen Len: 19.0
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: 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
  • num_epochs: 3
Training results
Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
0.0809 0.5 1000 0.0727 76.9035 72.8715 76.8453 76.84 19.0
0.0745 1.01 2000 0.0685 77.4372 73.7627 77.4008 77.3853 19.0
0.0739 1.51 3000 0.0659 77.8732 74.4368 77.8305 77.8222 19.0
0.0725 2.01 4000 0.0647 77.8991 74.4654 77.8536 77.8484 19.0
0.0696 2.51 5000 0.0640 77.8685 74.5217 77.8247 77.8156 19.0
Framework versions
  • Transformers 4.34.1
  • Pytorch 2.1.0+cu118
  • Datasets 2.14.6
  • Tokenizers 0.14.1

Runs of BenjaminOcampo t5-small_rouge_finetuned_sbic on huggingface.co

6
Total runs
0
24-hour runs
-1
3-day runs
-2
7-day runs
-1
30-day runs

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