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metadata
license: apache-2.0
base_model: t5-small
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: my_awesome_newssum_model
    results: []

my_awesome_newssum_model

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

  • Loss: 0.3029
  • Rouge1: 0.1908
  • Rouge2: 0.1287
  • Rougel: 0.1738
  • Rougelsum: 0.174
  • 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: 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: 4

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
No log 1.0 223 0.3720 0.1844 0.121 0.1663 0.1665 19.0
No log 2.0 446 0.3240 0.1876 0.124 0.1692 0.1694 19.0
0.664 3.0 669 0.3072 0.1876 0.1244 0.1701 0.1704 19.0
0.664 4.0 892 0.3029 0.1908 0.1287 0.1738 0.174 19.0

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.1
  • Tokenizers 0.13.3