You can deploy this model and start earning money today!

mohamed-tamer-nassr/
text_class_food-distilbert-base-uncased

Name: text_class_food-distilbert-base-uncased
Availability: InStock

generated_from_trainer

distilbert/distilbert-base-uncased

finetune

apache-2.0

text-embeddings-inference

endpoints_compatible

Views

No views yet

text_class_food-distilbert-base-uncased

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: 0.0006
Accuracy: 1.0

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_FUSED 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
0.3872	1.0	7	0.0513	1.0
0.0411	2.0	14	0.0079	1.0
0.0065	3.0	21	0.0027	1.0
0.0024	4.0	28	0.0015	1.0
0.0015	5.0	35	0.0010	1.0
0.0012	6.0	42	0.0008	1.0
0.0010	7.0	49	0.0007	1.0
0.0009	8.0	56	0.0007	1.0
0.0008	9.0	63	0.0006	1.0
0.0008	10.0	70	0.0006	1.0

Framework versions

Transformers 5.10.2
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2

mohamed-tamer-nassr/text_class_food-distilbert-base-uncased

text_class_food-distilbert-base-uncased

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

mohamed-tamer-nassr/
text_class_food-distilbert-base-uncased