metadata
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
datasets:
- samsum
metrics:
- rouge
model-index:
- name: flan-t5-base-samsum
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: samsum
type: samsum
config: samsum
split: test
args: samsum
metrics:
- name: Rouge1
type: rouge
value: 47.2691
flan-t5-base-samsum
This model is a fine-tuned version of google/flan-t5-base on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.3868
- Rouge1: 47.2691
- Rouge2: 23.6137
- Rougel: 39.7827
- Rougelsum: 43.4916
- Gen Len: 17.1758
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: 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.4686 | 1.0 | 921 | 1.3909 | 46.6849 | 23.039 | 39.0997 | 43.034 | 17.1062 |
| 1.404 | 2.0 | 1842 | 1.3868 | 47.2691 | 23.6137 | 39.7827 | 43.4916 | 17.1758 |
| 1.3736 | 3.0 | 2763 | 1.3845 | 47.0333 | 23.4655 | 39.5677 | 43.3879 | 17.2222 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.0
- Tokenizers 0.13.3