---
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: tidy-tab-model
  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. -->

# tidy-tab-model

This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.5060
- Rouge1: 0.3341
- Rouge2: 0.1528
- Rougel: 0.3104
- Rougelsum: 0.3125
- Gen Len: 17.75

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 7    | 4.4385          | 0.1922 | 0.0928 | 0.1885 | 0.1862    | 17.9167 |
| No log        | 2.0   | 14   | 4.1803          | 0.2265 | 0.1136 | 0.2229 | 0.2214    | 17.75   |
| No log        | 3.0   | 21   | 3.9826          | 0.2505 | 0.0972 | 0.2495 | 0.2517    | 17.1667 |
| No log        | 4.0   | 28   | 3.8140          | 0.3166 | 0.131  | 0.3117 | 0.3168    | 17.5    |
| No log        | 5.0   | 35   | 3.6817          | 0.3442 | 0.1594 | 0.3194 | 0.3211    | 17.4167 |
| No log        | 6.0   | 42   | 3.5924          | 0.3341 | 0.1528 | 0.3104 | 0.3125    | 17.75   |
| No log        | 7.0   | 49   | 3.5356          | 0.3341 | 0.1528 | 0.3104 | 0.3125    | 17.75   |
| No log        | 8.0   | 56   | 3.5060          | 0.3341 | 0.1528 | 0.3104 | 0.3125    | 17.75   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1