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custom-trainer – AI Model by StefanSpijkerman | AlphaNeural AI
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StefanSpijkerman
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custom-trainer
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transformers
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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custom-trainer
This model is a fine-tuned version of
distilbert-base-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.7435
Accuracy: 0.8604
F1: 0.8598
Precision: 0.8657
Recall: 0.8604
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: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 15
Training results
Framework versions
Transformers 4.47.0
Pytorch 2.5.1+cu118
Datasets 3.2.0
Tokenizers 0.21.0
