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# korean_sentiment_analysis_dataset3

This model is a fine-tuned version of [klue/roberta-large](https://huggingface.co/klue/roberta-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7614
- Micro f1 score: 74.9024
- Auprc: 75.3897
- Accuracy: 0.7490

## 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: 1e-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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Micro f1 score | Auprc   | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------------:|:-------:|:--------:|
| 0.8814        | 1.0   | 5080  | 0.7160          | 74.0798        | 78.1155 | 0.7408   |
| 0.5153        | 2.0   | 10160 | 0.6638          | 76.1573        | 80.2492 | 0.7616   |
| 0.6463        | 3.0   | 15240 | 0.6815          | 76.2897        | 80.6829 | 0.7629   |
| 0.4697        | 4.0   | 20320 | 0.7243          | 76.0666        | 80.1682 | 0.7607   |
| 0.2043        | 5.0   | 25400 | 0.9200          | 75.4810        | 79.2632 | 0.7548   |
| 0.2452        | 6.0   | 30480 | 1.0875          | 74.9582        | 78.5166 | 0.7496   |
| 0.1481        | 7.0   | 35560 | 1.3625          | 74.7769        | 76.5613 | 0.7478   |
| 0.1974        | 8.0   | 40640 | 1.5593          | 75.0906        | 76.3100 | 0.7509   |
| 0.1658        | 9.0   | 45720 | 1.6836          | 74.9651        | 75.6953 | 0.7497   |
| 0.1392        | 10.0  | 50800 | 1.7614          | 74.9024        | 75.3897 | 0.7490   |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.6.0
- Datasets 2.7.1
- Tokenizers 0.13.2

{"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "korean_sentiment_analysis_dataset3", "results": []}]}
transformers pytorch roberta text-classification generated_from_trainer autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #roberta #text-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 

korean\_sentiment\_analysis\_dataset3
=====================================


This model is a fine-tuned version of klue/roberta-large on an unknown dataset.
It achieves the following results on the evaluation set:


* Loss: 1.7614
* Micro f1 score: 74.9024
* Auprc: 75.3897
* Accuracy: 0.7490


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: 1e-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
* lr\_scheduler\_warmup\_ratio: 0.1
* num\_epochs: 10.0


### Training results



### Framework versions


* Transformers 4.25.1
* Pytorch 1.6.0
* Datasets 2.7.1
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1e-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
* lr\_scheduler\_warmup\_ratio: 0.1
* num\_epochs: 10.0 ### Training results ### Framework versions


* Transformers 4.25.1
* Pytorch 1.6.0
* Datasets 2.7.1
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #roberta #text-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1e-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
* lr\_scheduler\_warmup\_ratio: 0.1
* num\_epochs: 10.0 ### Training results ### Framework versions


* Transformers 4.25.1
* Pytorch 1.6.0
* Datasets 2.7.1
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #roberta #text-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1e-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
* lr\_scheduler\_warmup\_ratio: 0.1
* num\_epochs: 10.0### Training results### Framework versions


* Transformers 4.25.1
* Pytorch 1.6.0
* Datasets 2.7.1
* Tokenizers 0.13.2