BERT-racial_bias_model_80.0K_samples_fold_1 – AI Model by jamnik99 | AlphaNeural AI

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jamnik99/
BERT-racial_bias_model_80.0K_samples_fold_1

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text-classification

generated_from_trainer

distilbert/distilbert-base-uncased

autotrain_compatible

endpoints_compatible

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BERT-racial_bias_model_80.0K_samples_fold_1

This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4241
Accuracy: 0.8546
F1: 0.8550
Precision: 0.8557
Recall: 0.8546

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.5993	1.0	834	0.4344	0.8197	0.8178	0.8165	0.8197
0.3654	2.0	1668	0.3778	0.8443	0.8431	0.8422	0.8443
0.2747	3.0	2502	0.3884	0.8487	0.8499	0.8518	0.8487
0.2137	4.0	3336	0.4020	0.8552	0.8554	0.8558	0.8552
0.1757	5.0	4170	0.4241	0.8546	0.8550	0.8557	0.8546

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1