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

Loss: 0.8771
Accuracy: 0.8559

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: 1e-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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.3564	1.0	1563	0.3677	0.8426
0.2878	2.0	3126	0.3378	0.8588
0.2124	3.0	4689	0.4398	0.8550
0.1556	4.0	6252	0.5750	0.8555
0.1075	5.0	7815	0.6733	0.8558
0.0831	6.0	9378	0.7218	0.8561
0.0652	7.0	10941	0.7331	0.8564
0.0458	8.0	12504	0.8166	0.8538
0.0415	9.0	14067	0.8619	0.8568
0.0357	10.0	15630	0.8771	0.8559

Framework versions

Transformers 4.38.1
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.2

Sif10/my_awesome_model

my_awesome_model

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Sif10/
my_awesome_model