You can deploy this model and start earning money today!

amnaad24/
my_awesome_model

Name: my_awesome_model
Availability: InStock

generated_from_trainer

distilbert/distilbert-base-uncased

finetune

autotrain_compatible

endpoints_compatible

Views

No views yet

my_awesome_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: 0.8806
Accuracy: 0.6316

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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	7	0.7668	0.5789
No log	2.0	14	0.7032	0.6316
No log	3.0	21	0.8180	0.6316
No log	4.0	28	0.8806	0.6316

Framework versions

Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1

amnaad24/my_awesome_model

my_awesome_model

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

amnaad24/
my_awesome_model