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learn_hf_food_not_food_textCLS_distilbert – AI Model by Chetah | AlphaNeural AI
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Chetah
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learn_hf_food_not_food_textCLS_distilbert
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transformers
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
text-embeddings-inference
endpoints_compatible
us
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learn_hf_food_not_food_textCLS_distilbert
This model is a fine-tuned version of
distilbert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0098
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.4223
1.0
7
0.1009
1.0
0.0534
2.0
14
0.0152
1.0
0.0128
3.0
21
0.0098
1.0
Framework versions
Transformers 5.13.1
Pytorch 2.11.0+cpu
Datasets 4.0.0
Tokenizers 0.22.2
