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

You can deploy this model and start earning money today!

jayanta/
bert-base-cased-sentweet-targetedinsult

like

0

text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

Views

No views yet

bert-base-cased-sentweet-targetedinsult

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: 1.0418
Accuracy: 0.7917
Precision: 0.7911
Recall: 0.7922
F1: 0.7913

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	0.4277	0.8299	0.8375	0.8346	0.8298
No log	2.0	162	0.5315	0.7326	0.7412	0.7253	0.7253
No log	3.0	243	0.6488	0.7396	0.7472	0.7327	0.7331
No log	4.0	324	0.8324	0.7431	0.7432	0.7399	0.7406
No log	5.0	405	0.9038	0.7917	0.7924	0.7935	0.7916
No log	6.0	486	1.0418	0.7917	0.7911	0.7922	0.7913

Framework versions

Transformers 4.24.0
Pytorch 1.13.1+cu117
Datasets 2.6.1
Tokenizers 0.11.0