metadata

license: apache-2.0
base_model: google/t5-efficient-tiny
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: denoice-finetuned-xsum
    results: []

denoice-finetuned-xsum

This model is a fine-tuned version of google/t5-efficient-tiny on an unknown dataset. It achieves the following results on the evaluation set:

Loss: nan
Rouge1: 0.0
Rouge2: 0.0
Rougel: 0.0
Rougelsum: 0.0
Gen Len: 0.0

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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.0	1.0	2361	nan	0.0	0.0	0.0	0.0	0.0

Framework versions

Transformers 4.36.2
Pytorch 1.13.1
Datasets 2.16.1
Tokenizers 0.15.0