metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - samsum
metrics:
  - rouge
model-index:
  - name: tst-summarization
    results:
      - task:
          name: Summarization
          type: summarization
        dataset:
          name: samsum
          type: samsum
          config: samsum
          split: train
          args: samsum
        metrics:
          - name: Rouge1
            type: rouge
            value: 44.9509

tst-summarization

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

Loss: 1.6972
Rouge1: 44.9509
Rouge2: 21.7162
Rougel: 37.7582
Rougelsum: 41.7239
Gen Len: 22.7714

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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Framework versions

Transformers 4.25.1
Pytorch 1.13.1+cpu
Datasets 2.8.0
Tokenizers 0.13.2