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adeBERT – AI Model by Jacobberk | AlphaNeural AI
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Jacobberk
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adeBERT
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
google-bert/bert-large-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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adeBERT
This model is a fine-tuned version of
google-bert/bert-large-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1700
F1: 0.9551
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: 32
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
F1
0.1583
1.0
486
0.1216
0.9505
0.0836
2.0
972
0.1420
0.9588
0.0298
3.0
1458
0.1700
0.9551
Framework versions
Transformers 4.40.0
Pytorch 2.2.2+cu121
Datasets 2.19.0
Tokenizers 0.19.1
