---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-newVersion_Jhon_Wick
  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-newVersion_Jhon_Wick

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: 1.4886
- Rouge1: 48.6605
- Rouge2: 24.9693
- Rougel: 37.3383
- Rougelsum: 45.588
- Gen Len: 78.5668

## 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.9661        | 1.0   | 765  | 1.6090          | 45.3876 | 22.2762 | 34.7559 | 42.3201   | 76.2048 |
| 1.7525        | 2.0   | 1530 | 1.5620          | 46.6776 | 23.2287 | 35.6355 | 43.5005   | 79.2035 |
| 1.7231        | 3.0   | 2295 | 1.5360          | 47.5061 | 23.9061 | 36.2823 | 44.3393   | 78.8096 |
| 1.6819        | 4.0   | 3060 | 1.5188          | 47.9422 | 24.3479 | 36.7844 | 44.8047   | 78.6368 |
| 1.6704        | 5.0   | 3825 | 1.5086          | 48.2693 | 24.6015 | 36.9681 | 45.1561   | 78.3357 |
| 1.6481        | 6.0   | 4590 | 1.5003          | 48.4714 | 24.7449 | 37.1888 | 45.3465   | 77.8874 |
| 1.6505        | 7.0   | 5355 | 1.4954          | 48.4435 | 24.8279 | 37.2272 | 45.3858   | 77.9686 |
| 1.6331        | 8.0   | 6120 | 1.4914          | 48.5349 | 24.9022 | 37.2725 | 45.4888   | 78.1754 |
| 1.6274        | 9.0   | 6885 | 1.4892          | 48.6537 | 24.9567 | 37.3426 | 45.5884   | 78.1263 |
| 1.6215        | 10.0  | 7650 | 1.4886          | 48.6605 | 24.9693 | 37.3383 | 45.588    | 78.5668 |


### Framework versions

- Transformers 4.27.4
- Pytorch 1.13.1+cu116
- Tokenizers 0.13.2