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# clickbait-classifier-20230408-002

This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the id_clickbait dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2628
- Accuracy: 0.8025

## 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: 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.51          | 1.0   | 675  | 0.4566          | 0.7792   |
| 0.419         | 2.0   | 1350 | 0.4388          | 0.7908   |
| 0.2972        | 3.0   | 2025 | 0.5607          | 0.8017   |
| 0.2428        | 4.0   | 2700 | 0.5913          | 0.7983   |
| 0.2086        | 5.0   | 3375 | 0.8132          | 0.7883   |
| 0.1564        | 6.0   | 4050 | 0.9334          | 0.7917   |
| 0.1114        | 7.0   | 4725 | 1.0183          | 0.7975   |
| 0.1023        | 8.0   | 5400 | 1.1756          | 0.8008   |
| 0.0649        | 9.0   | 6075 | 1.2468          | 0.7975   |
| 0.0465        | 10.0  | 6750 | 1.2628          | 0.8025   |


### Framework versions

- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["id_clickbait"], "metrics": ["accuracy"], "model-index": [{"name": "clickbait-classifier-20230408-002", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "id_clickbait", "type": "id_clickbait", "config": "annotated", "split": "train", "args": "annotated"}, "metrics": [{"type": "accuracy", "value": 0.8025, "name": "Accuracy"}]}]}]}
transformers pytorch tensorboard bert text-classification generated_from_trainer dataset:id_clickbait license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #bert #text-classification #generated_from_trainer #dataset-id_clickbait #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us 

clickbait-classifier-20230408-002
=================================


This model is a fine-tuned version of bert-base-multilingual-cased on the id\_clickbait dataset.
It achieves the following results on the evaluation set:


* Loss: 1.2628
* Accuracy: 0.8025


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: 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: 10


### Training results



### Framework versions


* Transformers 4.27.4
* Pytorch 2.0.0+cu118
* Datasets 2.11.0
* Tokenizers 0.13.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-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
* num\_epochs: 10 ### Training results ### Framework versions


* Transformers 4.27.4
* Pytorch 2.0.0+cu118
* Datasets 2.11.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #tensorboard #bert #text-classification #generated_from_trainer #dataset-id_clickbait #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-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
* num\_epochs: 10 ### Training results ### Framework versions


* Transformers 4.27.4
* Pytorch 2.0.0+cu118
* Datasets 2.11.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #tensorboard #bert #text-classification #generated_from_trainer #dataset-id_clickbait #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-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
* num\_epochs: 10### Training results### Framework versions


* Transformers 4.27.4
* Pytorch 2.0.0+cu118
* Datasets 2.11.0
* Tokenizers 0.13.3