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bert-large-uncased-detect-dep-v9 – AI Model by Trong-Nghia | AlphaNeural AI
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Trong-Nghia
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bert-large-uncased-detect-dep-v9
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
google-bert/bert-large-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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bert-large-uncased-detect-dep-v9
This model is a fine-tuned version of
bert-large-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5492
Accuracy: 0.745
F1: 0.8200
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-06
train_batch_size: 4
eval_batch_size: 4
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
F1
0.6247
1.0
1502
0.5405
0.748
0.8230
0.5825
2.0
3004
0.5492
0.745
0.8200
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.0
Tokenizers 0.13.3
