distilbert-base-uncased__hate_speech_offensive__train-32-0 – AI Model by SetFit | AlphaNeural AI

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distilbert-base-uncased__hate_speech_offensive__train-32-0

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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distilbert-base-uncased__hate_speech_offensive__train-32-0

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

Loss: 0.7714
Accuracy: 0.705

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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 50
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.0871	1.0	19	1.0704	0.45
1.0019	2.0	38	1.0167	0.55
0.8412	3.0	57	0.9134	0.55
0.6047	4.0	76	0.8430	0.6
0.3746	5.0	95	0.8315	0.6
0.1885	6.0	114	0.8585	0.6
0.0772	7.0	133	0.9443	0.65
0.0312	8.0	152	1.1019	0.65
0.0161	9.0	171	1.1420	0.65
0.0102	10.0	190	1.2773	0.65
0.0077	11.0	209	1.2454	0.65
0.0064	12.0	228	1.2785	0.65
0.006	13.0	247	1.3834	0.65
0.0045	14.0	266	1.4139	0.65
0.0043	15.0	285	1.4056	0.65

Framework versions

Transformers 4.15.0
Pytorch 1.10.2+cu102
Datasets 1.18.2
Tokenizers 0.10.3