You can deploy this model and start earning money today!

Tirendaz/
my_distilbert_model

Name: my_distilbert_model
Availability: InStock

generated_from_trainer

rotten_tomatoes_movie_review

Views

No views yet

my_distilbert_model

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

Loss: 0.4418
Accuracy: 0.8433
F1: 0.8433
Precision: 0.8434
Recall: 0.8433

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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
No log	1.0	267	0.3990	0.8246	0.8243	0.8269	0.8246
0.3534	2.0	534	0.3951	0.8452	0.8452	0.8452	0.8452
0.3534	3.0	801	0.4418	0.8433	0.8433	0.8434	0.8433

Framework versions

Transformers 4.30.2
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3

Tirendaz/my_distilbert_model

my_distilbert_model

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Tirendaz/
my_distilbert_model