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: 47.4982
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: 1.3862
- Rouge1: 47.4982
- Rouge2: 23.7144
- Rougel: 39.9787
- Rougelsum: 43.7477
- Gen Len: 17.2173
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 | 46.8104 | 23.135 | 39.2096 | 43.1889 | 17.1319 |
| 1.4032 | 2.0 | 1842 | 1.3862 | 47.4982 | 23.7144 | 39.9787 | 43.7477 | 17.2173 |
| 1.3721 | 3.0 | 2763 | 1.3829 | 47.1091 | 23.2884 | 39.5513 | 43.279 | 17.2210 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.0
- Tokenizers 0.13.3