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model – AI Model by Ali-Alquraan | AlphaNeural AI
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Ali-Alquraan
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safetensors
distilbert
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
us
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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: 0.8255
Accuracy: 0.6462
Macro F1: 0.6429
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Macro F1
0.8576
1.0
748
0.8096
0.6167
0.6155
0.6067
2.0
1496
0.8255
0.6462
0.6429
Framework versions
Transformers 4.39.3
Pytorch 2.2.1+cpu
Datasets 2.21.0
Tokenizers 0.15.2
