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# t5-base-finetune-thai-to-romanized

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 5.5823
- Rouge1: 0.0533
- Rouge2: 0.0
- Rougel: 0.0543
- Rougelsum: 0.0541
- Gen Len: 11.3346

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 6.2299        | 1.0   | 1500  | 6.0909          | 0.0    | 0.0    | 0.0    | 0.0       | 12.4211 |
| 6.0799        | 2.0   | 3000  | 5.9716          | 0.0058 | 0.0    | 0.006  | 0.0062    | 11.1185 |
| 5.9595        | 3.0   | 4500  | 5.9016          | 0.0081 | 0.0    | 0.0082 | 0.008     | 12.1465 |
| 5.8423        | 4.0   | 6000  | 5.7665          | 0.0364 | 0.0017 | 0.0367 | 0.0365    | 11.6982 |
| 5.7915        | 5.0   | 7500  | 5.7470          | 0.0441 | 0.0013 | 0.0445 | 0.0442    | 10.7897 |
| 5.7114        | 6.0   | 9000  | 5.6844          | 0.0472 | 0.0013 | 0.0476 | 0.0478    | 10.5441 |
| 5.6555        | 7.0   | 10500 | 5.6416          | 0.0549 | 0.0013 | 0.0552 | 0.0552    | 11.1098 |
| 5.6362        | 8.0   | 12000 | 5.6036          | 0.0493 | 0.0013 | 0.0501 | 0.0498    | 12.7922 |
| 5.5941        | 9.0   | 13500 | 5.5895          | 0.0535 | 0.0    | 0.0544 | 0.0542    | 11.5989 |
| 5.569         | 10.0  | 15000 | 5.5823          | 0.0533 | 0.0    | 0.0543 | 0.0541    | 11.3346 |


### 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": "t5-base-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 

t5-base-finetune-thai-to-romanized
==================================


This model is a fine-tuned version of t5-base on an unknown dataset.
It achieves the following results on the evaluation set:


* Loss: 5.5823
* Rouge1: 0.0533
* Rouge2: 0.0
* Rougel: 0.0543
* Rougelsum: 0.0541
* Gen Len: 11.3346


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



### 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: 10 ### 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: 10 ### 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: 10### Training results### Framework versions


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