transformers tensorboard safetensors t5 text2text-generation generated_from_trainer base_model:t5-small license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: 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
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# t5-small-samsum

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: 1.7108
- Rouge1: 42.8796
- Rouge2: 19.1218
- Rougel: 35.393
- Rougelsum: 39.3635
- Gen Len: 16.8901

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.0185        | 1.0   | 1842 | 1.7918          | 40.569  | 17.0622 | 33.4617 | 37.1907   | 16.8938 |
| 1.8881        | 2.0   | 3684 | 1.7479          | 41.9209 | 18.5938 | 34.8969 | 38.5288   | 16.6435 |
| 1.8222        | 3.0   | 5526 | 1.7269          | 42.2611 | 19.1114 | 35.3077 | 39.0834   | 17.0696 |
| 1.8011        | 4.0   | 7368 | 1.7136          | 42.8138 | 19.2426 | 35.6329 | 39.4298   | 16.9158 |
| 1.7812        | 5.0   | 9210 | 1.7108          | 42.8796 | 19.1218 | 35.393  | 39.3635   | 16.8901 |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
