---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-base-Text-To-Graph
  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. -->

# t5-base-Text-To-Graph

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2583
- Rouge1: 15.9211
- Rouge2: 10.2439
- Rougel: 15.798
- Rougelsum: 15.8041
- Gen Len: 19.0

## 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: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 49   | 1.9977          | 8.1859  | 1.5645  | 8.0953  | 8.0998    | 18.7308 |
| No log        | 2.0   | 98   | 1.7956          | 12.432  | 4.5448  | 12.3804 | 12.3753   | 18.7308 |
| No log        | 3.0   | 147  | 1.6533          | 14.0438 | 7.0658  | 13.9349 | 13.9529   | 18.7308 |
| No log        | 4.0   | 196  | 1.5491          | 14.0217 | 7.7529  | 13.9337 | 13.9439   | 18.7308 |
| No log        | 5.0   | 245  | 1.4763          | 14.1269 | 8.3586  | 14.0359 | 14.0413   | 18.7308 |
| No log        | 6.0   | 294  | 1.4205          | 14.5555 | 8.9978  | 14.4438 | 14.4472   | 18.7308 |
| No log        | 7.0   | 343  | 1.3769          | 15.4286 | 9.6146  | 15.3249 | 15.3274   | 19.0    |
| No log        | 8.0   | 392  | 1.3427          | 15.3635 | 9.7892  | 15.253  | 15.2568   | 19.0    |
| No log        | 9.0   | 441  | 1.3177          | 15.4871 | 9.9136  | 15.36   | 15.371    | 19.0    |
| No log        | 10.0  | 490  | 1.2978          | 15.6885 | 10.1232 | 15.5719 | 15.5818   | 19.0    |
| 1.8518        | 11.0  | 539  | 1.2826          | 15.7429 | 10.1854 | 15.6191 | 15.6226   | 19.0    |
| 1.8518        | 12.0  | 588  | 1.2720          | 15.8945 | 10.1937 | 15.7743 | 15.7814   | 19.0    |
| 1.8518        | 13.0  | 637  | 1.2645          | 15.9058 | 10.2142 | 15.7815 | 15.7875   | 19.0    |
| 1.8518        | 14.0  | 686  | 1.2598          | 15.9154 | 10.2352 | 15.7899 | 15.7952   | 19.0    |
| 1.8518        | 15.0  | 735  | 1.2583          | 15.9211 | 10.2439 | 15.798  | 15.8041   | 19.0    |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2