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results_distilbert-base-uncased – AI Model by PierrePol | AlphaNeural AI
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PierrePol
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results_distilbert-base-uncased
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transformers
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
endpoints_compatible
us
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results_distilbert-base-uncased
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: 0.3982
Accuracy: 0.882
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: 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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
250
0.3337
0.874
0.3036
2.0
500
0.3982
0.882
Framework versions
Transformers 5.9.0
Pytorch 2.5.1+cu121
Datasets 4.8.5
Tokenizers 0.22.2
