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my_awesome_model_bert-3EPOCHS – AI Model by NadineMostafa | AlphaNeural AI
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NadineMostafa
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my_awesome_model_bert-3EPOCHS
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tensorboard
safetensors
bert
generated_from_trainer
google-bert/bert-base-uncased
finetune
apache-2.0
us
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my_awesome_model_bert-3EPOCHS
This model is a fine-tuned version of
google-bert/bert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2753
Accuracy: 0.8605
F1: 0.8644
Precision: 0.8771
Recall: 0.8521
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
0.4667
1.0
2449
0.4090
0.7856
0.7896
0.8090
0.7710
0.3974
2.0
4898
0.3339
0.8234
0.8126
0.9102
0.7339
0.3245
3.0
7347
0.2753
0.8605
0.8644
0.8771
0.8521
Framework versions
Transformers 4.42.4
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1
