---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: maximo-t5-normalize
  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. -->

# maximo-t5-normalize

This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4302
- Rouge1: 63.0769
- Rouge2: 60.1732
- Rougel: 63.5165
- Rougelsum: 63.0769
- Gen Len: 11.8571

## 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: 0.0005
- 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 8    | 2.3782          | 13.5065 | 0.0     | 13.7662 | 13.7662   | 11.0    |
| No log        | 2.0   | 16   | 1.5121          | 36.1472 | 21.4286 | 37.6314 | 37.6314   | 15.4286 |
| No log        | 3.0   | 24   | 1.0687          | 42.449  | 28.5714 | 44.0816 | 44.0816   | 10.1429 |
| No log        | 4.0   | 32   | 0.8164          | 44.898  | 34.2857 | 46.9388 | 46.9388   | 12.8571 |
| No log        | 5.0   | 40   | 0.6774          | 53.0887 | 43.8095 | 53.9325 | 54.8234   | 12.0    |
| No log        | 6.0   | 48   | 0.5566          | 50.7483 | 45.2381 | 51.5646 | 52.381    | 10.2857 |
| No log        | 7.0   | 56   | 0.4936          | 63.0769 | 60.1732 | 63.5165 | 63.0769   | 10.5714 |
| No log        | 8.0   | 64   | 0.4619          | 63.0769 | 60.1732 | 63.5165 | 63.0769   | 11.8571 |
| No log        | 9.0   | 72   | 0.4368          | 63.0769 | 60.1732 | 63.5165 | 63.0769   | 11.8571 |
| No log        | 10.0  | 80   | 0.4302          | 63.0769 | 60.1732 | 63.5165 | 63.0769   | 11.8571 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0