metadata

license: apache-2.0
library_name: peft
tags:
  - Summarization
  - generated_from_trainer
datasets:
  - cnn_dailymail
metrics:
  - rouge
base_model: google/flan-t5-base
model-index:
  - name: flan-t5-base-finetuned-QLoRA-v2
    results: []

flan-t5-base-finetuned-QLoRA-v2

This model is a fine-tuned version of google/flan-t5-base on the cnn_dailymail dataset. It achieves the following results on the evaluation set:

Loss: 1.1284
Rouge1: 0.2459
Rouge2: 0.1133
Rougel: 0.2014
Rougelsum: 0.2312

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: 3e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
3.2738	1.0	500	2.5624	0.2375	0.1097	0.1987	0.223
1.8824	2.0	1000	1.2830	0.2419	0.11	0.1988	0.2278
1.6192	3.0	1500	1.1527	0.2477	0.1149	0.2033	0.2325
1.5256	4.0	2000	1.1284	0.2459	0.1133	0.2014	0.2312

Framework versions

PEFT 0.8.2
Transformers 4.37.0
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.1