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---
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-samsum
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-small-samsum
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: 1.6707
- Rouge1: 43.8206
- Rouge2: 19.9652
- Rougel: 36.0416
- Rougelsum: 40.0887
- Gen Len: 17.0305
## 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: 5e-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
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.016 | 1.0 | 1842 | 1.7872 | 40.6656 | 17.0772 | 33.6487 | 37.3124 | 16.9829 |
| 1.8798 | 2.0 | 3684 | 1.7375 | 42.1059 | 18.6064 | 35.0368 | 38.6458 | 16.7045 |
| 1.8219 | 3.0 | 5526 | 1.7062 | 43.2636 | 19.4321 | 35.6415 | 39.5613 | 16.8266 |
| 1.77 | 4.0 | 7368 | 1.6990 | 43.2211 | 19.5021 | 35.5155 | 39.6933 | 17.1905 |
| 1.7408 | 5.0 | 9210 | 1.6878 | 43.9084 | 19.8501 | 36.2255 | 40.2666 | 16.7766 |
| 1.7113 | 6.0 | 11052 | 1.6816 | 44.0573 | 20.1359 | 36.426 | 40.4933 | 16.9829 |
| 1.692 | 7.0 | 12894 | 1.6771 | 43.9234 | 19.9018 | 36.0759 | 40.1654 | 16.9158 |
| 1.6771 | 8.0 | 14736 | 1.6723 | 43.5824 | 19.8023 | 35.9709 | 39.963 | 16.9731 |
| 1.6604 | 9.0 | 16578 | 1.6718 | 43.8502 | 19.9263 | 36.157 | 40.1653 | 17.0134 |
| 1.6575 | 10.0 | 18420 | 1.6707 | 43.8206 | 19.9652 | 36.0416 | 40.0887 | 17.0305 |
### Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
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