You can deploy this model and start earning money today!

gabizh/
dbbuc_10p

Name: dbbuc_10p
Availability: InStock

generated_from_trainer

distilbert/distilbert-base-uncased

Views

No views yet

dbbuc_10p

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

Loss: 0.0621
Precision: 0.4907
Recall: 0.5048
F1: 0.4977
Accuracy: 0.9663

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: 8
eval_batch_size: 8
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	Precision	Recall	F1	Accuracy
No log	1.0	226	0.0659	0.3502	0.2968	0.3213	0.9567
No log	2.0	452	0.0579	0.4701	0.4492	0.4594	0.9640
0.0697	3.0	678	0.0581	0.4828	0.5111	0.4965	0.9660
0.0697	4.0	904	0.0639	0.5445	0.4857	0.5134	0.9675
0.0199	5.0	1130	0.0621	0.4907	0.5048	0.4977	0.9663

Framework versions

Transformers 4.38.2
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2

gabizh/dbbuc_10p

dbbuc_10p

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

gabizh/
dbbuc_10p