You can deploy this model and start earning money today!

Derf989/
my_awesome_wnut_model

Name: my_awesome_wnut_model
Availability: InStock

generated_from_trainer

distilbert/distilbert-base-uncased

Views

No views yet

my_awesome_wnut_model

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: 0.2730
Precision: 0.5597
Recall: 0.3170
F1: 0.4047
Accuracy: 0.9414

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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	213	0.2806	0.5475	0.2669	0.3589	0.9393
No log	2.0	426	0.2730	0.5597	0.3170	0.4047	0.9414

Framework versions

Transformers 4.40.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

Derf989/my_awesome_wnut_model

my_awesome_wnut_model

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Derf989/
my_awesome_wnut_model