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# UNEDMediaBiasTeam_at_SemEval23_Task3_Subtask3_PRE_BABE_dataset

This model is a fine-tuned version of [distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2188
- F1: 0.5660

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.5684        | 1.0   | 24   | 0.8998          | 0.4355 |
| 0.3           | 2.0   | 48   | 0.9073          | 0.4625 |
| 0.3634        | 3.0   | 72   | 0.8815          | 0.4868 |
| 0.2344        | 4.0   | 96   | 0.9457          | 0.4848 |
| 0.1712        | 5.0   | 120  | 0.9737          | 0.4945 |
| 0.148         | 6.0   | 144  | 1.0416          | 0.4896 |
| 0.0662        | 7.0   | 168  | 1.1345          | 0.4838 |
| 0.046         | 8.0   | 192  | 1.0935          | 0.5353 |
| 0.0398        | 9.0   | 216  | 1.1288          | 0.5376 |
| 0.0563        | 10.0  | 240  | 1.2188          | 0.5660 |
| 0.0449        | 11.0  | 264  | 1.2390          | 0.5160 |
| 0.0472        | 12.0  | 288  | 1.3779          | 0.5069 |
| 0.0122        | 13.0  | 312  | 1.4218          | 0.5442 |
| 0.0037        | 14.0  | 336  | 1.4859          | 0.5432 |
| 0.0557        | 15.0  | 360  | 1.5124          | 0.5510 |
| 0.0038        | 16.0  | 384  | 1.5364          | 0.5542 |
| 0.0043        | 17.0  | 408  | 1.5484          | 0.5589 |
| 0.0022        | 18.0  | 432  | 1.6063          | 0.5554 |
| 0.0044        | 19.0  | 456  | 1.6013          | 0.5268 |
| 0.0023        | 20.0  | 480  | 1.6161          | 0.4802 |
| 0.002         | 21.0  | 504  | 1.6622          | 0.4783 |
| 0.0016        | 22.0  | 528  | 1.6737          | 0.4812 |
| 0.002         | 23.0  | 552  | 1.6776          | 0.5250 |
| 0.0019        | 24.0  | 576  | 1.7027          | 0.4800 |
| 0.0015        | 25.0  | 600  | 1.6897          | 0.5211 |
| 0.0018        | 26.0  | 624  | 1.6982          | 0.5211 |
| 0.0015        | 27.0  | 648  | 1.7174          | 0.4781 |
| 0.0019        | 28.0  | 672  | 1.7269          | 0.4781 |
| 0.0016        | 29.0  | 696  | 1.7323          | 0.5133 |
| 0.0304        | 30.0  | 720  | 1.7265          | 0.5172 |


### Framework versions

- Transformers 4.26.0
- Pytorch 1.13.1
- Datasets 2.9.0
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["f1"], "model-index": [{"name": "UNEDMediaBiasTeam_at_SemEval23_Task3_Subtask3_PRE_BABE_dataset", "results": []}]}
transformers pytorch distilbert text-classification generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #distilbert #text-classification #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 

UNEDMediaBiasTeam\_at\_SemEval23\_Task3\_Subtask3\_PRE\_BABE\_dataset
=====================================================================


This model is a fine-tuned version of distilbert-base-uncased-finetuned-sst-2-english on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 1.2188
* F1: 0.5660


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: 64
* eval\_batch\_size: 64
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 30
* mixed\_precision\_training: Native AMP


### Training results



### Framework versions


* Transformers 4.26.0
* Pytorch 1.13.1
* Datasets 2.9.0
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 64
* eval\_batch\_size: 64
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 30
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.26.0
* Pytorch 1.13.1
* Datasets 2.9.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #distilbert #text-classification #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 64
* eval\_batch\_size: 64
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 30
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.26.0
* Pytorch 1.13.1
* Datasets 2.9.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #distilbert #text-classification #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 64
* eval\_batch\_size: 64
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 30
* mixed\_precision\_training: Native AMP### Training results### Framework versions


* Transformers 4.26.0
* Pytorch 1.13.1
* Datasets 2.9.0
* Tokenizers 0.13.2