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model – AI Model by RawanHQ | AlphaNeural AI
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RawanHQ
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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: 0.8081
Accuracy: 0.6435
Macro F1: 0.6434
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
0.8362
1.0
748
0.8093
0.6107
0.6120
0.6278
2.0
1496
0.8081
0.6435
0.6434
Framework versions
Transformers 4.41.0
Pytorch 2.12.0+cpu
Datasets 2.21.0
Tokenizers 0.19.1
