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

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: 2.1443
- Rouge1: 27.8954
- Rouge2: 7.9325
- Rougel: 27.8954
- Rougelsum: 27.0723
- Gen Len: 12.5

## 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   | 3    | 2.8565          | 15.4762 | 2.439  | 15.0794 | 15.4762   | 16.1667 |
| No log        | 2.0   | 6    | 2.5544          | 13.0291 | 2.439  | 12.6323 | 13.0291   | 16.1667 |
| No log        | 3.0   | 9    | 2.4527          | 14.6825 | 2.439  | 14.2857 | 14.2857   | 10.8333 |
| No log        | 4.0   | 12   | 2.3570          | 20.2381 | 2.439  | 19.8413 | 19.8413   | 11.1667 |
| No log        | 5.0   | 15   | 2.2745          | 27.1017 | 7.9325 | 27.1017 | 26.2787   | 11.3333 |
| No log        | 6.0   | 18   | 2.2170          | 27.8954 | 7.9325 | 27.8954 | 27.0723   | 13.1667 |
| No log        | 7.0   | 21   | 2.1860          | 27.8954 | 7.9325 | 27.8954 | 27.0723   | 12.6667 |
| No log        | 8.0   | 24   | 2.1568          | 27.8954 | 7.9325 | 27.8954 | 27.0723   | 12.5    |
| No log        | 9.0   | 27   | 2.1445          | 27.8954 | 7.9325 | 27.8954 | 27.0723   | 12.5    |
| No log        | 10.0  | 30   | 2.1443          | 27.8954 | 7.9325 | 27.8954 | 27.0723   | 12.5    |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0