---
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[:2%]
      args: apple
    metrics:
    - name: Rouge1
      type: rouge
      value: 12.4139
---

<!-- 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: 3.0475
- Rouge1: 12.4139
- Rouge2: 2.0562
- Rougel: 9.4938
- Rougelsum: 11.0524
- Gen Len: 18.9589

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 232  | 3.0886          | 12.844  | 2.1734 | 9.8971 | 11.3641   | 18.8876 |
| No log        | 2.0   | 464  | 3.0639          | 12.2909 | 2.1209 | 9.4999 | 10.9458   | 18.9416 |
| 3.3185        | 3.0   | 696  | 3.0538          | 12.4154 | 2.0984 | 9.4989 | 11.0684   | 18.9492 |
| 3.3185        | 4.0   | 928  | 3.0489          | 12.7043 | 2.1969 | 9.7356 | 11.3629   | 18.9481 |
| 3.187         | 5.0   | 1160 | 3.0475          | 12.4139 | 2.0562 | 9.4938 | 11.0524   | 18.9589 |


### Framework versions

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