---
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