metadata

license: apache-2.0
base_model: google/flan-t5-base
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: balanced-test
    results: []

balanced-test

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

Loss: 0.1274
Rouge1: 94.4211
Rouge2: 78.4814
Rougel: 94.42
Rougelsum: 94.4244
Gen Len: 5.0

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: 5e-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
0.1305	1.0	2500	0.1274	94.4211	78.4814	94.42	94.4244	5.0

Framework versions

Transformers 4.33.1
Pytorch 2.0.0
Datasets 2.14.5
Tokenizers 0.13.3