You can deploy this model and start earning money today!

Sairii/
comida_no_comida_text_classifier

Name: comida_no_comida_text_classifier
Rating: 2.5 (9 reviews)

generated_from_trainer

distilbert/distilbert-base-uncased

Views

No views yet

comida_no_comida_text_classifier

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: 0.0823
Accuracy: 0.9903

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: 0.0001
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5879	1.0	26	0.1729	0.9420
0.1047	2.0	52	0.1249	0.9758
0.042	3.0	78	0.0938	0.9807
0.0022	4.0	104	0.0756	0.9903
0.0086	5.0	130	0.0767	0.9903
0.0005	6.0	156	0.0789	0.9903
0.0004	7.0	182	0.0804	0.9903
0.0003	8.0	208	0.0815	0.9903
0.0003	9.0	234	0.0821	0.9903
0.0003	10.0	260	0.0823	0.9903

Framework versions

Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.3.1
Tokenizers 0.21.0

Sairii/comida_no_comida_text_classifier

comida_no_comida_text_classifier

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Sairii/
comida_no_comida_text_classifier