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# SloBertAA_Top5_WithoutOOC_NEW

This model is a fine-tuned version of [EMBEDDIA/sloberta](https://huggingface.co/EMBEDDIA/sloberta) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3464
- Accuracy: 0.9419

## Other related models

| Base model          | Includes the OOC class? | 5 classes | 10 classes | 20 classes | 50 classes |
| ------------------- | ----------------------- |:---------:|:----------:|:----------:|:----------:|
| SloBERTa            | Yes                     | x | x | x | x |
| SloBERTa            | No                      | x | x | x | x |
| BERT Multilingual   | Yes                     | x | x | x | x |
| BERT Multilingual   | No                      | x | x | x | x |

## 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: 12
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.2787        | 1.0   | 8757  | 0.2899          | 0.9120   |
| 0.2197        | 2.0   | 17514 | 0.2314          | 0.9294   |
| 0.1483        | 3.0   | 26271 | 0.3004          | 0.9349   |
| 0.0997        | 4.0   | 35028 | 0.3182          | 0.9405   |
| 0.0699        | 5.0   | 43785 | 0.3464          | 0.9419   |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.8.0
- Datasets 2.10.1
- Tokenizers 0.13.2
{"language": ["sl"], "license": "cc-by-sa-4.0", "tags": ["generated_from_trainer"], "datasets": ["gregorgabrovsek/RTVCommentsTop5UsersWithoutOOC"], "metrics": ["accuracy"], "model-index": [{"name": "SloBertAA_Top5_WithoutOOC_NEW", "results": []}]}
transformers pytorch tensorboard camembert text-classification generated_from_trainer sl dataset:gregorgabrovsek/RTVCommentsTop5UsersWithoutOOC license:cc-by-sa-4.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #camembert #text-classification #generated_from_trainer #sl #dataset-gregorgabrovsek/RTVCommentsTop5UsersWithoutOOC #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us 

SloBertAA\_Top5\_WithoutOOC\_NEW
================================


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


* Loss: 0.3464
* Accuracy: 0.9419


Other related models
--------------------



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: 12
* eval\_batch\_size: 12
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 5


### Training results



### Framework versions


* Transformers 4.26.1
* Pytorch 1.8.0
* Datasets 2.10.1
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 12
* eval\_batch\_size: 12
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 5 ### Training results ### Framework versions


* Transformers 4.26.1
* Pytorch 1.8.0
* Datasets 2.10.1
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #camembert #text-classification #generated_from_trainer #sl #dataset-gregorgabrovsek/RTVCommentsTop5UsersWithoutOOC #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 12
* eval\_batch\_size: 12
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 5 ### Training results ### Framework versions


* Transformers 4.26.1
* Pytorch 1.8.0
* Datasets 2.10.1
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #camembert #text-classification #generated_from_trainer #sl #dataset-gregorgabrovsek/RTVCommentsTop5UsersWithoutOOC #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 12
* eval\_batch\_size: 12
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 5### Training results### Framework versions


* Transformers 4.26.1
* Pytorch 1.8.0
* Datasets 2.10.1
* Tokenizers 0.13.2