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results – AI Model by progkiller123 | AlphaNeural AI
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transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
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: 0.5114
Accuracy: {'accuracy': 0.8045}
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: 16
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.6435
1.0
313
0.5553
{'accuracy': 0.7735}
0.5288
2.0
626
0.5114
{'accuracy': 0.8045}
Framework versions
Transformers 4.44.2
Pytorch 2.8.0+cu126
Datasets 4.4.1
Tokenizers 0.19.1
