---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- stackexchange_titlebody_best_voted_answer_jsonl
metrics:
- rouge
model-index:
- name: flan-t5-base-flant5-apple-support
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: stackexchange_titlebody_best_voted_answer_jsonl
      type: stackexchange_titlebody_best_voted_answer_jsonl
      config: apple
      split: train[:10%]
      args: apple
    metrics:
    - name: Rouge1
      type: rouge
      value: 12.7991
---

<!-- 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-flant5-apple-support

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the stackexchange_titlebody_best_voted_answer_jsonl dataset.
It achieves the following results on the evaluation set:
- Loss: 2.9676
- Rouge1: 12.7991
- Rouge2: 2.244
- Rougel: 9.8075
- Rougelsum: 11.3618
- Gen Len: 18.9087

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:------:|:---------:|:-------:|
| 3.2673        | 1.0   | 1157 | 3.0350          | 12.4094 | 2.1794 | 9.5255 | 10.9739   | 18.9723 |
| 3.1854        | 2.0   | 2314 | 2.9992          | 12.4579 | 2.1512 | 9.5232 | 11.0049   | 18.9647 |
| 3.1006        | 3.0   | 3471 | 2.9792          | 12.9794 | 2.2794 | 9.9245 | 11.5019   | 18.9436 |
| 3.0751        | 4.0   | 4628 | 2.9711          | 12.6779 | 2.1828 | 9.6962 | 11.221    | 18.9137 |
| 3.0532        | 5.0   | 5785 | 2.9676          | 12.7991 | 2.244  | 9.8075 | 11.3618   | 18.9087 |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.1+cu117
- Datasets 2.8.0
- Tokenizers 0.13.2