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---
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
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