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: 47.4302
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: 1.3717
- Rouge1: 47.4302
- Rouge2: 23.8067
- Rougel: 39.8729
- Rougelsum: 43.5812
- Gen Len: 17.2271
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.4391 | 1.0 | 1842 | 1.3872 | 46.8646 | 23.2173 | 39.4291 | 43.14 | 17.2613 |
| 1.3436 | 2.0 | 3684 | 1.3738 | 47.4899 | 23.7009 | 39.9047 | 43.4379 | 17.1258 |
| 1.2807 | 3.0 | 5526 | 1.3727 | 47.1101 | 23.4307 | 39.5299 | 43.2392 | 17.3639 |
| 1.2404 | 4.0 | 7368 | 1.3717 | 47.4302 | 23.8067 | 39.8729 | 43.5812 | 17.2271 |
| 1.1998 | 5.0 | 9210 | 1.3755 | 47.6999 | 24.0391 | 40.1937 | 43.8551 | 17.2564 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1