|
--- |
|
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 |
|
--- |
|
|
|
<!-- 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: 1.3717 |
|
- 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 |
|
|
