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-finetuned-DEPlain
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# t5-small-finetuned-DEPlain

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: 1.4040
- Rouge1: 56.1449
- Rouge2: 33.5451
- Rougel: 49.3652
- Rougelsum: 50.4116
- Gen Len: 16.8619

## 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: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.7816        | 1.0   | 667   | 1.5659          | 56.0636 | 33.4605 | 49.2184 | 50.1982   | 16.8749 |
| 1.7247        | 2.0   | 1334  | 1.5268          | 55.8529 | 33.273  | 49.0989 | 50.0532   | 16.8457 |
| 1.646         | 3.0   | 2001  | 1.5005          | 55.9672 | 33.491  | 49.2462 | 50.1807   | 16.8903 |
| 1.6284        | 4.0   | 2668  | 1.4829          | 55.7959 | 33.2889 | 49.115  | 50.0945   | 16.8497 |
| 1.6125        | 5.0   | 3335  | 1.4690          | 55.9584 | 33.4199 | 49.197  | 50.1955   | 16.8595 |
| 1.5722        | 6.0   | 4002  | 1.4583          | 56.002  | 33.3992 | 49.2363 | 50.2844   | 16.8652 |
| 1.5578        | 7.0   | 4669  | 1.4461          | 55.9959 | 33.4014 | 49.2695 | 50.3575   | 16.8205 |
| 1.5483        | 8.0   | 5336  | 1.4401          | 56.1002 | 33.4891 | 49.3499 | 50.4312   | 16.8465 |
| 1.5376        | 9.0   | 6003  | 1.4319          | 56.0337 | 33.4694 | 49.2847 | 50.392    | 16.8367 |
| 1.5174        | 10.0  | 6670  | 1.4261          | 56.1104 | 33.5113 | 49.3145 | 50.4133   | 16.853  |
| 1.5031        | 11.0  | 7337  | 1.4215          | 56.0716 | 33.5463 | 49.3603 | 50.4459   | 16.8359 |
| 1.488         | 12.0  | 8004  | 1.4165          | 56.0433 | 33.5083 | 49.3177 | 50.3731   | 16.8424 |
| 1.4931        | 13.0  | 8671  | 1.4154          | 56.2073 | 33.6711 | 49.4172 | 50.4928   | 16.8481 |
| 1.4613        | 14.0  | 9338  | 1.4103          | 56.0724 | 33.5666 | 49.3104 | 50.3582   | 16.8497 |
| 1.4695        | 15.0  | 10005 | 1.4080          | 56.142  | 33.6211 | 49.4136 | 50.4679   | 16.8619 |
| 1.4695        | 16.0  | 10672 | 1.4070          | 56.173  | 33.6205 | 49.4061 | 50.474    | 16.87   |
| 1.4625        | 17.0  | 11339 | 1.4053          | 56.0842 | 33.5358 | 49.3451 | 50.4014   | 16.866  |
| 1.4616        | 18.0  | 12006 | 1.4042          | 56.1138 | 33.5467 | 49.359  | 50.4131   | 16.866  |
| 1.4622        | 19.0  | 12673 | 1.4037          | 56.1368 | 33.5442 | 49.3712 | 50.4346   | 16.8627 |
| 1.455         | 20.0  | 13340 | 1.4040          | 56.1449 | 33.5451 | 49.3652 | 50.4116   | 16.8619 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1
