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metadata
license: apache-2.0
base_model: t5-small
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: t5-small-with-generate-finetune-indosum
    results: []

t5-small-with-generate-finetune-indosum

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

  • Loss: 0.6542
  • Rouge1: 0.2065
  • Rouge2: 0.1572
  • Rougel: 0.2026
  • Rougelsum: 0.2026
  • 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: 2e-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: 1

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
0.7518 1.0 4460 0.6542 0.2065 0.1572 0.2026 0.2026 19.0

Framework versions

  • Transformers 4.32.1
  • Pytorch 2.0.0
  • Datasets 2.12.0
  • Tokenizers 0.13.2