You can deploy this model and start earning money today!

MNMoslem/
BioEntCls

Name: BioEntCls
Rating: 2.5 (9 reviews)

tensorboard

safetensors

distilbert

generated_from_trainer

distilbert/distilbert-base-uncased

finetune

apache-2.0

Views

No views yet

BioEntCls

This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4667
Precision: 0.4049
Recall: 0.4385
F1: 0.4210
Accuracy: 0.8660

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 8
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.5164	1.8315	500	0.4603	0.3780	0.4106	0.3936	0.8591
0.3336	3.6630	1000	0.4479	0.4039	0.4302	0.4167	0.8658
0.2747	5.4945	1500	0.4628	0.4090	0.4386	0.4233	0.8669
0.244	7.3260	2000	0.4667	0.4049	0.4385	0.4210	0.8660

Framework versions

Transformers 4.42.4
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1

MNMoslem/BioEntCls

BioEntCls

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MNMoslem/
BioEntCls