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distilbert-food – AI Model by vespinoza | AlphaNeural AI
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vespinoza
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distilbert-food
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transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilbert-food
This model is a fine-tuned version of
distilbert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2535
Accuracy: 0.9348
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: 5e-05
train_batch_size: 16
eval_batch_size: 16
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
0.111
1.0
683
0.2450
0.9342
0.0909
2.0
1366
0.2063
0.9306
0.0539
3.0
2049
0.2535
0.9348
Framework versions
Transformers 4.41.2
Pytorch 2.3.1+cpu
Datasets 2.19.2
Tokenizers 0.19.1
