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---
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
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