---
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-base-standardized-color
  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-base-standardized-color

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2702
- Rouge1: 58.8296
- Rouge2: 50.9332
- Rougel: 58.2604
- Rougelsum: 58.323
- Gen Len: 16.2521

## 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

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 236  | 0.3490          | 49.2479 | 40.2468 | 48.6246 | 48.5062   | 18.0148 |
| No log        | 2.0   | 472  | 0.3080          | 52.8701 | 44.4405 | 52.3371 | 52.2684   | 17.1589 |
| 0.3775        | 3.0   | 708  | 0.2871          | 55.4404 | 46.9716 | 54.9257 | 54.8833   | 16.9004 |
| 0.3775        | 4.0   | 944  | 0.2792          | 61.4338 | 53.5456 | 60.9375 | 61.0613   | 15.0636 |
| 0.2834        | 5.0   | 1180 | 0.2789          | 56.7293 | 48.3876 | 56.1734 | 56.2194   | 16.6589 |
| 0.2834        | 6.0   | 1416 | 0.2742          | 53.2995 | 44.7666 | 52.7346 | 52.7591   | 17.3644 |
| 0.2553        | 7.0   | 1652 | 0.2757          | 57.3854 | 49.1456 | 56.6424 | 56.7503   | 16.5318 |
| 0.2553        | 8.0   | 1888 | 0.2717          | 56.9399 | 48.9799 | 56.405  | 56.4246   | 16.7055 |
| 0.2393        | 9.0   | 2124 | 0.2703          | 58.4279 | 50.4598 | 57.8832 | 57.9165   | 16.3856 |
| 0.2393        | 10.0  | 2360 | 0.2702          | 58.8296 | 50.9332 | 58.2604 | 58.323    | 16.2521 |


### Framework versions

- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3