|
--- |
|
license: apache-2.0 |
|
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: 46.9065 |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# flan-t5-base-samsum |
|
|
|
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the samsum dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.3709 |
|
- Rouge1: 46.9065 |
|
- Rouge2: 23.3343 |
|
- Rougel: 39.5692 |
|
- Rougelsum: 43.1595 |
|
- Gen Len: 17.2027 |
|
|
|
## 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 | |
|
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| |
|
| 1.4403 | 1.0 | 1842 | 1.3829 | 46.5077 | 23.125 | 39.4581 | 42.8659 | 17.0977 | |
|
| 1.3534 | 2.0 | 3684 | 1.3732 | 47.0777 | 23.5105 | 39.6104 | 43.2441 | 17.4554 | |
|
| 1.2795 | 3.0 | 5526 | 1.3709 | 46.9065 | 23.3343 | 39.5692 | 43.1595 | 17.2027 | |
|
| 1.2313 | 4.0 | 7368 | 1.3736 | 47.4587 | 23.7481 | 39.9896 | 43.6309 | 17.2198 | |
|
| 1.1934 | 5.0 | 9210 | 1.3772 | 47.4463 | 23.912 | 40.0753 | 43.7033 | 17.3162 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.26.0 |
|
- Pytorch 1.13.1+cu116 |
|
- Datasets 2.8.0 |
|
- Tokenizers 0.13.2 |
|
|
