
<!-- 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. -->

# type-prediction-transformer

This model is a fine-tuned version of [airesearch/wangchanberta-base-att-spm-uncased](https://huggingface.co/airesearch/wangchanberta-base-att-spm-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0497
- F1: 0.8651
- Roc Auc: 0.9260
- Accuracy: 0.8208

## 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: 0.0001
- 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: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
| No log        | 1.0   | 149  | 0.0812          | 0.8070 | 0.8677  | 0.7588   |
| No log        | 2.0   | 298  | 0.0591          | 0.8585 | 0.9064  | 0.8141   |
| No log        | 3.0   | 447  | 0.0493          | 0.8719 | 0.9144  | 0.8258   |
| 0.0886        | 4.0   | 596  | 0.0506          | 0.8614 | 0.9222  | 0.8090   |
| 0.0886        | 5.0   | 745  | 0.0487          | 0.8683 | 0.9255  | 0.8174   |
| 0.0886        | 6.0   | 894  | 0.0506          | 0.8693 | 0.9291  | 0.8191   |
| 0.0254        | 7.0   | 1043 | 0.0519          | 0.8619 | 0.9307  | 0.8090   |
| 0.0254        | 8.0   | 1192 | 0.0497          | 0.8651 | 0.9260  | 0.8208   |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.0+cu118
- Tokenizers 0.13.3

{"tags": ["generated_from_trainer"], "metrics": ["f1", "accuracy"], "widget": [{"text": "\u0e16\u0e19\u0e19\u0e1c\u0e38\u0e1e\u0e31\u0e07\u0e17\u0e33\u0e43\u0e2b\u0e49\u0e40\u0e01\u0e34\u0e14\u0e40\u0e2a\u0e35\u0e22\u0e07\u0e14\u0e31\u0e07\u0e40\u0e27\u0e25\u0e32\u0e23\u0e16\u0e27\u0e34\u0e48\u0e07"}, {"text": "\u0e02\u0e35\u0e48\u0e21\u0e2d\u0e44\u0e0b\u0e04\u0e4c\u0e1a\u0e19\u0e17\u0e32\u0e07\u0e40\u0e17\u0e49\u0e32\u0e21\u0e31\u0e19\u0e08\u0e30\u0e40\u0e01\u0e34\u0e19\u0e1b\u0e38\u0e22\u0e21\u0e38\u0e49\u0e22"}], "model-index": [{"name": "type-prediction-transformer", "results": []}]}
transformers pytorch tensorboard safetensors camembert text-classification generated_from_trainer autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #safetensors #camembert #text-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 

type-prediction-transformer
===========================


This model is a fine-tuned version of airesearch/wangchanberta-base-att-spm-uncased on an unknown dataset.
It achieves the following results on the evaluation set:


* Loss: 0.0497
* F1: 0.8651
* Roc Auc: 0.9260
* Accuracy: 0.8208


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: 0.0001
* 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: 8


### Training results



### Framework versions


* Transformers 4.28.0
* Pytorch 2.0.0+cu118
* Tokenizers 0.13.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0001
* 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: 8 ### Training results ### Framework versions


* Transformers 4.28.0
* Pytorch 2.0.0+cu118
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #tensorboard #safetensors #camembert #text-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0001
* 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: 8 ### Training results ### Framework versions


* Transformers 4.28.0
* Pytorch 2.0.0+cu118
* Tokenizers 0.13.3