metadata

license: apache-2.0
base_model: t5-small
tags:
  - generated_from_trainer
datasets:
  - cnn_dailymail
metrics:
  - rouge
model-index:
  - name: cnn_news_summary_model_trained_on_reduced_data
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: cnn_dailymail
          type: cnn_dailymail
          config: 3.0.0
          split: train[:3%]
          args: 3.0.0
        metrics:
          - name: Rouge1
            type: rouge
            value: 0.2182

cnn_news_summary_model_trained_on_reduced_data

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

Loss: 1.6040
Rouge1: 0.2182
Rouge2: 0.0943
Rougel: 0.1841
Rougelsum: 0.184
Generated Length: 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: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Generated Length
No log	1.0	431	1.6222	0.218	0.0936	0.1828	0.1829	19.0
1.9218	2.0	862	1.6069	0.2176	0.0939	0.1837	0.1836	19.0
1.8271	3.0	1293	1.6040	0.2182	0.0943	0.1841	0.184	19.0

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1