bert-base-cased-sentweet-derogatory – AI Model by jayanta | AlphaNeural AI

You can deploy this model and start earning money today!

jayanta/
bert-base-cased-sentweet-derogatory

like

0

text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

Views

No views yet

bert-base-cased-sentweet-derogatory

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

Loss: 0.9154
Accuracy: 0.8056
Precision: 0.8051
Recall: 0.8036
F1: 0.8042

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: 5e-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: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
No log	1.0	81	0.4357	0.8160	0.8194	0.8197	0.8160
No log	2.0	162	0.4131	0.7986	0.7998	0.8010	0.7985
No log	3.0	243	0.5515	0.7812	0.7838	0.7766	0.7780
No log	4.0	324	0.6149	0.75	0.7549	0.7435	0.7446
No log	5.0	405	0.7479	0.8125	0.8130	0.8145	0.8124
No log	6.0	486	0.9154	0.8056	0.8051	0.8036	0.8042

Framework versions

Transformers 4.24.0
Pytorch 1.13.1+cu117
Datasets 2.6.1
Tokenizers 0.11.0