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# racism-finetuned-detests

This model is a fine-tuned version of [davidmasip/racism](https://huggingface.co/davidmasip/racism) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1626
- Accuracy: 0.8331
- F1-score: 0.7625
- Precision: 0.7625
- Recall: 0.7625
- Auc: 0.7625

## 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 | F1-score | Precision | Recall | Auc    |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------:|:------:|:------:|
| 0.2554        | 1.0   | 174  | 0.3618          | 0.8380   | 0.7340   | 0.7901    | 0.7073 | 0.7073 |
| 0.0488        | 2.0   | 348  | 0.7445          | 0.8282   | 0.7549   | 0.7556    | 0.7543 | 0.7543 |
| 0.0005        | 3.0   | 522  | 0.9204          | 0.8429   | 0.7681   | 0.7794    | 0.7587 | 0.7587 |
| 0.0001        | 4.0   | 696  | 1.0194          | 0.8462   | 0.7741   | 0.7838    | 0.7659 | 0.7659 |
| 0.0001        | 5.0   | 870  | 1.0721          | 0.8363   | 0.7648   | 0.7676    | 0.7621 | 0.7621 |
| 0.0001        | 6.0   | 1044 | 1.1081          | 0.8331   | 0.7625   | 0.7625    | 0.7625 | 0.7625 |
| 0.0           | 7.0   | 1218 | 1.1324          | 0.8331   | 0.7625   | 0.7625    | 0.7625 | 0.7625 |
| 0.0           | 8.0   | 1392 | 1.1492          | 0.8331   | 0.7625   | 0.7625    | 0.7625 | 0.7625 |
| 0.0           | 9.0   | 1566 | 1.1592          | 0.8331   | 0.7625   | 0.7625    | 0.7625 | 0.7625 |
| 0.0           | 10.0  | 1740 | 1.1626          | 0.8331   | 0.7625   | 0.7625    | 0.7625 | 0.7625 |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3

{"license": "cc", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall"], "base_model": "davidmasip/racism", "model-index": [{"name": "racism-finetuned-detests", "results": []}]}
transformers pytorch tensorboard roberta text-classification generated_from_trainer base_model:davidmasip/racism license:cc autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #roberta #text-classification #generated_from_trainer #base_model-davidmasip/racism #license-cc #autotrain_compatible #endpoints_compatible #region-us 

racism-finetuned-detests
========================


This model is a fine-tuned version of davidmasip/racism on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 1.1626
* Accuracy: 0.8331
* F1-score: 0.7625
* Precision: 0.7625
* Recall: 0.7625
* Auc: 0.7625


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 4.33.1
* Pytorch 2.0.1+cu118
* Datasets 2.14.5
* 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 4.33.1
* Pytorch 2.0.1+cu118
* Datasets 2.14.5
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #tensorboard #roberta #text-classification #generated_from_trainer #base_model-davidmasip/racism #license-cc #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 4.33.1
* Pytorch 2.0.1+cu118
* Datasets 2.14.5
* Tokenizers 0.13.3
passage: TAGS
#transformers #pytorch #tensorboard #roberta #text-classification #generated_from_trainer #base_model-davidmasip/racism #license-cc #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 4.33.1
* Pytorch 2.0.1+cu118
* Datasets 2.14.5
* Tokenizers 0.13.3