distilbert-base-uncased__hate_speech_offensive__train-32-8 – AI Model by SetFit | AlphaNeural AI

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distilbert-base-uncased__hate_speech_offensive__train-32-8

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text-classification

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autotrain_compatible

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distilbert-base-uncased__hate_speech_offensive__train-32-8

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: 0.9191
Accuracy: 0.632

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
1.1008	1.0	19	1.0877	0.4
1.0354	2.0	38	1.0593	0.35
0.8765	3.0	57	0.9722	0.5
0.6365	4.0	76	0.9271	0.55
0.3944	5.0	95	0.7852	0.5
0.2219	6.0	114	0.9360	0.55
0.126	7.0	133	1.0610	0.55
0.0389	8.0	152	1.0884	0.6
0.0191	9.0	171	1.3483	0.55
0.0108	10.0	190	1.4226	0.55
0.0082	11.0	209	1.4270	0.55
0.0065	12.0	228	1.5074	0.55
0.0059	13.0	247	1.5577	0.55
0.0044	14.0	266	1.5798	0.55
0.0042	15.0	285	1.6196	0.55

Framework versions

Transformers 4.15.0
Pytorch 1.10.2+cu102
Datasets 1.18.2
Tokenizers 0.10.3