---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-base-openbsd-faq
  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-base-openbsd-faq

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: 2.2385
- Rouge1: 0.3935
- Rouge2: 0.3383
- Rougel: 0.3906
- Rougelsum: 0.3844

## 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: 0.0003
- train_batch_size: 8
- eval_batch_size: 4
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| No log        | 1.0   | 9    | 2.2184          | 0.3985 | 0.3308 | 0.3878 | 0.3902    |
| No log        | 2.0   | 18   | 2.2060          | 0.4044 | 0.3231 | 0.3959 | 0.3937    |
| No log        | 3.0   | 27   | 2.2271          | 0.4063 | 0.3315 | 0.4006 | 0.3971    |
| No log        | 4.0   | 36   | 2.2251          | 0.4069 | 0.3366 | 0.4001 | 0.3937    |
| No log        | 5.0   | 45   | 2.2385          | 0.3935 | 0.3383 | 0.3906 | 0.3844    |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.14.7
- Tokenizers 0.15.0