metadata

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

t5-small-finetuned-news

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

Loss: 1.5940
Rouge1: 50.3401
Rouge2: 27.0631
Rougel: 46.1238
Rougelsum: 46.1222
Gen Len: 15.5137

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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.8381	1.0	5783	1.5940	50.3401	27.0631	46.1238	46.1222	15.5137

Framework versions

Transformers 4.35.2
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.15.0