metadata

license: apache-2.0
base_model: t5-small
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: t5-small-with-generate-finetune-indosum
    results: []

t5-small-with-generate-finetune-indosum

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

Loss: 0.6542
Rouge1: 0.2065
Rouge2: 0.1572
Rougel: 0.2026
Rougelsum: 0.2026
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: 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

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.7518	1.0	4460	0.6542	0.2065	0.1572	0.2026	0.2026	19.0

Framework versions

Transformers 4.32.1
Pytorch 2.0.0
Datasets 2.12.0
Tokenizers 0.13.2