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results – AI Model by itzfiza2026 | AlphaNeural AI
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itzfiza2026
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results
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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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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: 0.2039
Accuracy: 0.9451
Precision: 0.9454
Recall: 0.9451
F1: 0.9452
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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Precision
Recall
F1
0.2461
1.0
15000
0.2039
0.9451
0.9454
0.9451
0.9452
Framework versions
Transformers 4.46.3
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.20.3
