metadata

license: mit
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: tst-summarization
    results: []

tst-summarization

This model is a fine-tuned version of henryu-lin/t5-large-samsum-deepspeed on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.3922
Rouge1: 54.905
Rouge2: 26.6374
Rougel: 40.4619
Rougelsum: 52.3653
Gen Len: 104.7241

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: 1
eval_batch_size: 1
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 4.18.0.dev0
Pytorch 1.10.0
Datasets 1.18.4
Tokenizers 0.11.6