---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-qa
  results: []
---

<!-- 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-qa

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9501
- Rouge1: 32.6382
- Rouge2: 18.8113
- Rougel: 31.4434
- Rougelsum: 31.55
- Gen Len: 17.333

## 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: 5
- eval_batch_size: 5
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.2112        | 1.0   | 2000  | 2.2398          | 31.2944 | 16.8097 | 29.7158 | 29.856    | 17.726  |
| 1.9424        | 2.0   | 4000  | 2.0614          | 32.2914 | 17.2352 | 30.6559 | 30.7999   | 17.264  |
| 1.8168        | 3.0   | 6000  | 1.9951          | 32.1343 | 17.6839 | 30.9136 | 31.0279   | 17.385  |
| 1.7924        | 4.0   | 8000  | 1.9566          | 32.6305 | 18.4737 | 31.4423 | 31.5984   | 17.302  |
| 1.6977        | 5.0   | 10000 | 1.9501          | 32.6382 | 18.8113 | 31.4434 | 31.55     | 17.333  |


### Framework versions

- Transformers 4.27.4
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2