distilbert-base-uncased__hate_speech_offensive__train-16-3 – AI Model by SetFit | AlphaNeural AI

You can deploy this model and start earning money today!

SetFit/
distilbert-base-uncased__hate_speech_offensive__train-16-3

like

0

text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

Views

No views yet

distilbert-base-uncased__hate_speech_offensive__train-16-3

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: 1.0675
Accuracy: 0.44

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
1.0951	1.0	10	1.1346	0.1
1.0424	2.0	20	1.1120	0.2
0.957	3.0	30	1.1002	0.3
0.7889	4.0	40	1.0838	0.4
0.6162	5.0	50	1.0935	0.5
0.4849	6.0	60	1.0867	0.5
0.3089	7.0	70	1.1145	0.5
0.2145	8.0	80	1.1278	0.6
0.0805	9.0	90	1.2801	0.6
0.0497	10.0	100	1.3296	0.6
0.0328	11.0	110	1.2913	0.6
0.0229	12.0	120	1.3692	0.6
0.0186	13.0	130	1.4642	0.6
0.0161	14.0	140	1.5568	0.6

Framework versions

Transformers 4.15.0
Pytorch 1.10.2+cu102
Datasets 1.18.2
Tokenizers 0.10.3