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: 47.6412
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: 1.3649
- Rouge1: 47.6412
- Rouge2: 24.051
- Rougel: 40.0954
- Rougelsum: 43.6636
- Gen Len: 17.1844
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 |
|---|---|---|---|---|---|---|---|---|
| 1.4548 | 1.0 | 1842 | 1.3789 | 46.7801 | 23.374 | 39.5739 | 43.1465 | 17.4164 |
| 1.3452 | 2.0 | 3684 | 1.3678 | 47.1262 | 23.3912 | 39.8206 | 43.4192 | 17.2601 |
| 1.2821 | 3.0 | 5526 | 1.3649 | 47.6412 | 24.051 | 40.0954 | 43.6636 | 17.1844 |
| 1.2347 | 4.0 | 7368 | 1.3712 | 47.5837 | 24.0545 | 40.2391 | 43.7923 | 17.2808 |
| 1.1983 | 5.0 | 9210 | 1.3732 | 47.33 | 23.983 | 39.957 | 43.6156 | 17.2808 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1