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noelsinghsr/
food_distill_bert_base_uncased_v2

Name: food_distill_bert_base_uncased_v2
Availability: InStock

generated_from_trainer

distilbert/distilbert-base-uncased

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food_distill_bert_base_uncased_v2

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: 0.0005
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: 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
0.3856	1.0	7	0.0687	1.0
0.0279	2.0	14	0.0104	1.0
0.0051	3.0	21	0.0018	1.0
0.0017	4.0	28	0.0011	1.0
0.0011	5.0	35	0.0023	1.0
0.0007	6.0	42	0.0010	1.0
0.0006	7.0	49	0.0007	1.0
0.0006	8.0	56	0.0006	1.0
0.0005	9.0	63	0.0005	1.0
0.0005	10.0	70	0.0005	1.0

Framework versions

Transformers 4.45.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.20.0

noelsinghsr/food_distill_bert_base_uncased_v2

food_distill_bert_base_uncased_v2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

noelsinghsr/
food_distill_bert_base_uncased_v2