bert-base-uncased-dietdupe-foodb-desc – AI Model by ja-nina | AlphaNeural AI

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ja-nina/
bert-base-uncased-dietdupe-foodb-desc

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google-bert/bert-base-uncased

autotrain_compatible

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bert-base-uncased-dietdupe-foodb-desc

This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.6188

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: 8
eval_batch_size: 8
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
No log	1.0	124	1.6109
No log	2.0	248	1.6449
No log	3.0	372	1.7693
No log	4.0	496	1.7404
1.8504	5.0	620	1.6661
1.8504	6.0	744	1.5235
1.8504	7.0	868	1.5884
1.8504	8.0	992	1.6669
1.6616	9.0	1116	1.4289
1.6616	10.0	1240	1.6314

Framework versions

Transformers 4.35.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.14.1