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Mahesh9/
distil-bert-fintuned-subissue-cfpb-complaints

Name: distil-bert-fintuned-subissue-cfpb-complaints
Availability: InStock

generated_from_trainer

distilbert/distilbert-base-uncased

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distil-bert-fintuned-subissue-cfpb-complaints

This model is a fine-tuned version of distilbert/distilbert-base-uncased on the Consumer Financial Protection Bureau(CFPB) dataset. It achieves the following results on the evaluation set:

Loss: 0.9809
Accuracy: 0.7110
Precision: 0.4293
Recall: 0.3614
F1: 0.3474

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.998	1.0	11603	0.9809	0.7110	0.4293	0.3614	0.3474

Framework versions

Transformers 4.37.2
Pytorch 2.2.0
Datasets 2.17.1
Tokenizers 0.15.2

Mahesh9/distil-bert-fintuned-subissue-cfpb-complaints

distil-bert-fintuned-subissue-cfpb-complaints

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Mahesh9/
distil-bert-fintuned-subissue-cfpb-complaints