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repeat_model – AI Model by dzulhafiz | AlphaNeural AI
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dzulhafiz
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repeat_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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repeat_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: 0.1923
Accuracy: 0.9
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: 8
eval_batch_size: 8
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.6009
1.0
23
0.4119
0.9
0.2166
2.0
46
0.1974
0.9
0.1055
3.0
69
0.1923
0.9
Framework versions
Transformers 4.53.2
Pytorch 2.5.1+cu121
Datasets 4.0.0
Tokenizers 0.21.2
