metadata
library_name: transformers
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
datasets:
- samsum
metrics:
- rouge
model-index:
- name: flan-t5-base-max
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: 47.658
flan-t5-base-max
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: 1.3767
- Rouge1: 47.658
- Rouge2: 23.8342
- Rougel: 39.8959
- Rougelsum: 43.9372
- Gen Len: 18.0037
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.4528 | 1.0 | 1842 | 1.3867 | 47.1561 | 23.0232 | 39.2965 | 43.2173 | 18.0794 |
| 1.3385 | 2.0 | 3684 | 1.3751 | 47.261 | 23.4468 | 39.3675 | 43.388 | 18.0098 |
| 1.2791 | 3.0 | 5526 | 1.3695 | 47.6429 | 23.7409 | 39.7882 | 43.6692 | 17.6654 |
| 1.2262 | 4.0 | 7368 | 1.3761 | 47.8213 | 24.0947 | 40.0904 | 44.0943 | 18.0256 |
| 1.2035 | 5.0 | 9210 | 1.3767 | 47.658 | 23.8342 | 39.8959 | 43.9372 | 18.0037 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0