You can deploy this model and start earning money today!

SiddharthaM/
distilbert-profane-final

Name: distilbert-profane-final
Availability: InStock

generated_from_trainer

apache-2.0

autotrain_compatible

endpoints_compatible

Views

No views yet

distilbert-profane-final

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

Loss: 0.2773
Accuracy: 0.8992
Precision: 0.8261
Recall: 0.7987
F1: 0.8114

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: 1e-05
train_batch_size: 32
eval_batch_size: 32
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	Precision	Recall	F1
No log	1.0	296	0.2862	0.8907	0.8230	0.7528	0.7807
0.3379	2.0	592	0.2650	0.9097	0.8748	0.7778	0.8148
0.3379	3.0	888	0.2632	0.9049	0.8417	0.7999	0.8185
0.221	4.0	1184	0.2772	0.8916	0.8055	0.8055	0.8055
0.221	5.0	1480	0.2773	0.8992	0.8261	0.7987	0.8114

Framework versions

Transformers 4.24.0.dev0
Pytorch 1.11.0+cu102
Datasets 2.6.1
Tokenizers 0.13.1

SiddharthaM/distilbert-profane-final

distilbert-profane-final

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

SiddharthaM/
distilbert-profane-final