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---
license: mit
base_model: VietAI/vit5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: vit5-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. -->
# vit5-base-standardized-color
This model is a fine-tuned version of [VietAI/vit5-base](https://huggingface.co/VietAI/vit5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9951
- Rouge1: 74.1102
- Rouge2: 67.9199
- Rougel: 73.686
- Rougelsum: 73.7568
- Gen Len: 7.0148
## 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
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log | 1.0 | 118 | 0.7373 | 74.1623 | 67.7624 | 73.6071 | 73.6764 | 7.3326 |
| No log | 2.0 | 236 | 0.7758 | 74.1167 | 67.7666 | 73.7039 | 73.8076 | 7.0869 |
| No log | 3.0 | 354 | 0.8174 | 73.8958 | 67.4854 | 73.3437 | 73.4362 | 7.1822 |
| No log | 4.0 | 472 | 0.8195 | 74.8085 | 68.4703 | 74.3389 | 74.4854 | 6.7903 |
| 0.2234 | 5.0 | 590 | 0.8848 | 74.1319 | 67.6899 | 73.5608 | 73.6273 | 7.2013 |
| 0.2234 | 6.0 | 708 | 0.9413 | 73.4933 | 67.0495 | 73.0176 | 73.0687 | 7.2839 |
| 0.2234 | 7.0 | 826 | 0.9167 | 74.1512 | 67.7638 | 73.7512 | 73.8058 | 6.9703 |
| 0.2234 | 8.0 | 944 | 0.9577 | 73.8412 | 67.3981 | 73.3697 | 73.4324 | 7.1525 |
| 0.1303 | 9.0 | 1062 | 0.9869 | 73.9929 | 67.64 | 73.4942 | 73.5355 | 7.2309 |
| 0.1303 | 10.0 | 1180 | 0.9951 | 74.1102 | 67.9199 | 73.686 | 73.7568 | 7.0148 |
### Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
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