|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- summarize_from_feedback |
|
metrics: |
|
- rouge |
|
model-index: |
|
- name: flan-t5-base-finetuned-openai-summarize_from_feedback |
|
results: |
|
- task: |
|
name: Sequence-to-sequence Language Modeling |
|
type: text2text-generation |
|
dataset: |
|
name: summarize_from_feedback |
|
type: summarize_from_feedback |
|
config: comparisons |
|
split: train |
|
args: comparisons |
|
metrics: |
|
- name: Rouge1 |
|
type: rouge |
|
value: 29.3494 |
|
--- |
|
|
|
<!-- 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-finetuned-openai-summarize_from_feedback |
|
|
|
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the summarize_from_feedback dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.8833 |
|
- Rouge1: 29.3494 |
|
- Rouge2: 10.9406 |
|
- Rougel: 23.9907 |
|
- Rougelsum: 25.461 |
|
- Gen Len: 18.9265 |
|
|
|
## 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: 16 |
|
- eval_batch_size: 32 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 6 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
|
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| |
|
| 1.7678 | 1.0 | 5804 | 1.8833 | 29.3494 | 10.9406 | 23.9907 | 25.461 | 18.9265 | |
|
| 1.5839 | 2.0 | 11608 | 1.8992 | 29.6239 | 11.1795 | 24.2927 | 25.7183 | 18.9358 | |
|
| 1.4812 | 3.0 | 17412 | 1.8929 | 29.8899 | 11.2855 | 24.4193 | 25.9219 | 18.9189 | |
|
| 1.4198 | 4.0 | 23216 | 1.8939 | 29.8897 | 11.2606 | 24.3262 | 25.8642 | 18.9309 | |
|
| 1.3612 | 5.0 | 29020 | 1.9105 | 29.8469 | 11.2112 | 24.2483 | 25.7884 | 18.9396 | |
|
| 1.3279 | 6.0 | 34824 | 1.9170 | 30.038 | 11.3426 | 24.4385 | 25.9675 | 18.9328 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.25.1 |
|
- Pytorch 1.13.0+cu116 |
|
- Datasets 2.8.0 |
|
- Tokenizers 0.13.2 |
|
|
