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---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: no-sum-t5-3
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. -->
# no-sum-t5-3
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: 1.1815
- Rouge1: 33.2039
- Rouge2: 12.1054
- Rougel: 32.7253
- Rougelsum: 32.7032
- 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: 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
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log | 1.0 | 139 | 1.6711 | 22.764 | 3.4862 | 22.3717 | 22.3978 | 19.0 |
| No log | 2.0 | 278 | 1.3811 | 31.9748 | 10.5421 | 31.4438 | 31.4451 | 19.0 |
| No log | 3.0 | 417 | 1.2981 | 32.0918 | 11.2326 | 31.4844 | 31.5121 | 19.0 |
| 1.9326 | 4.0 | 556 | 1.2542 | 32.0848 | 11.1865 | 31.6965 | 31.669 | 19.0 |
| 1.9326 | 5.0 | 695 | 1.2250 | 32.6516 | 11.7983 | 32.117 | 32.1061 | 19.0 |
| 1.9326 | 6.0 | 834 | 1.2063 | 33.0203 | 11.973 | 32.5571 | 32.5407 | 19.0 |
| 1.9326 | 7.0 | 973 | 1.1932 | 33.1756 | 11.7729 | 32.5844 | 32.6138 | 19.0 |
| 1.3969 | 8.0 | 1112 | 1.1886 | 33.0571 | 11.792 | 32.5059 | 32.4676 | 19.0 |
| 1.3969 | 9.0 | 1251 | 1.1825 | 33.2126 | 12.1217 | 32.6524 | 32.6517 | 19.0 |
| 1.3969 | 10.0 | 1390 | 1.1815 | 33.2039 | 12.1054 | 32.7253 | 32.7032 | 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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