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fine_tuned_model – AI Model by Windshied03 | AlphaNeural AI
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Windshied03
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fine_tuned_model
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transformers
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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fine_tuned_model
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: 0.5055
Precision: 0.9194
F1: 0.912
Accuracy: 0.912
Recall: 0.9048
Confusion Matrix: [[114, 10], [12, 114]]
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: 10
Training results
Framework versions
Transformers 4.46.3
Pytorch 2.5.1+cu118
Datasets 3.1.0
Tokenizers 0.20.3
