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# Clickbait2

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0212

## 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: 5e-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: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 0.05  | 50   | 0.0213          |
| No log        | 0.09  | 100  | 0.0213          |
| No log        | 0.14  | 150  | 0.0213          |
| No log        | 0.18  | 200  | 0.0216          |
| No log        | 0.23  | 250  | 0.0214          |
| No log        | 0.27  | 300  | 0.0212          |
| No log        | 0.32  | 350  | 0.0214          |
| No log        | 0.36  | 400  | 0.0212          |
| No log        | 0.41  | 450  | 0.0218          |
| 0.0219        | 0.46  | 500  | 0.0219          |
| 0.0219        | 0.5   | 550  | 0.0214          |
| 0.0219        | 0.55  | 600  | 0.0216          |
| 0.0219        | 0.59  | 650  | 0.0217          |
| 0.0219        | 0.64  | 700  | 0.0214          |
| 0.0219        | 0.68  | 750  | 0.0214          |
| 0.0219        | 0.73  | 800  | 0.0214          |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.11.0a0+17540c5
- Datasets 2.1.0
- Tokenizers 0.12.1

{"tags": ["generated_from_trainer"], "model-index": [{"name": "Clickbait2", "results": []}]}
transformers pytorch tensorboard bert text-classification generated_from_trainer autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #bert #text-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 

Clickbait2
==========


This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 0.0212


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: 5e-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: 4


### Training results



### Framework versions


* Transformers 4.18.0
* Pytorch 1.11.0a0+17540c5
* Datasets 2.1.0
* Tokenizers 0.12.1



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-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: 4 ### Training results ### Framework versions


* Transformers 4.18.0
* Pytorch 1.11.0a0+17540c5
* Datasets 2.1.0
* Tokenizers 0.12.1
TAGS
#transformers #pytorch #tensorboard #bert #text-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-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: 4 ### Training results ### Framework versions


* Transformers 4.18.0
* Pytorch 1.11.0a0+17540c5
* Datasets 2.1.0
* Tokenizers 0.12.1
passage: TAGS
#transformers #pytorch #tensorboard #bert #text-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-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: 4### Training results### Framework versions


* Transformers 4.18.0
* Pytorch 1.11.0a0+17540c5
* Datasets 2.1.0
* Tokenizers 0.12.1