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# byt5-small-finetune-thai-to-romanized

This model is a fine-tuned version of [google/byt5-small](https://huggingface.co/google/byt5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0881
- Rouge1: 7.9223
- Rouge2: 0.5516
- Rougel: 7.9176
- Rougelsum: 7.9205
- Gen Len: 11.8775

## 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: 8

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 1.8962        | 1.0   | 1500  | 1.6419          | 0.0348 | 0.0    | 0.0351 | 0.0345    | 11.6767 |
| 1.1867        | 2.0   | 3000  | 0.6487          | 1.4739 | 0.0463 | 1.4793 | 1.4804    | 11.6179 |
| 0.6108        | 3.0   | 4500  | 0.2648          | 4.9434 | 0.2338 | 4.9373 | 4.9413    | 11.6379 |
| 0.363         | 4.0   | 6000  | 0.1561          | 6.8898 | 0.364  | 6.8827 | 6.8935    | 11.808  |
| 0.2671        | 5.0   | 7500  | 0.1132          | 7.5578 | 0.4855 | 7.5496 | 7.5604    | 11.8507 |
| 0.2198        | 6.0   | 9000  | 0.0976          | 7.7876 | 0.511  | 7.7819 | 7.7864    | 11.8772 |
| 0.1823        | 7.0   | 10500 | 0.0920          | 7.883  | 0.5422 | 7.8797 | 7.8834    | 11.8707 |
| 0.1854        | 8.0   | 12000 | 0.0881          | 7.9223 | 0.5516 | 7.9176 | 7.9205    | 11.8775 |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "model-index": [{"name": "byt5-small-finetune-thai-to-romanized", "results": []}]}
transformers pytorch tensorboard t5 text2text-generation generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

byt5-small-finetune-thai-to-romanized
=====================================


This model is a fine-tuned version of google/byt5-small on an unknown dataset.
It achieves the following results on the evaluation set:


* Loss: 0.0881
* Rouge1: 7.9223
* Rouge2: 0.5516
* Rougel: 7.9176
* Rougelsum: 7.9205
* Gen Len: 11.8775


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: 8


### Training results



### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.9.0
* Tokenizers 0.13.2



### 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: 8 ### Training results ### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.9.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 ### 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: 8 ### Training results ### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.9.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
### 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: 8### Training results### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.9.0
* Tokenizers 0.13.2