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vinhainsec/
results

Name: results
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generated_from_trainer

google-bert/bert-base-uncased

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ft-bert-base-uncased-for-binary-search

This model is a fine-tuned version of bert-base-uncased on the /kaggle/input/nv-dataset-fix/nv_dataset (1).csv dataset. It achieves the following results on the evaluation set:

Loss: 0.0003
Accuracy: 1.0
Precision: 1.0
Recall: 1.0
F1: 1.0

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: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.0951	1.0	25	0.0067	1.0	1.0	1.0	1.0
0.0012	2.0	50	0.0007	1.0	1.0	1.0	1.0
0.0007	3.0	75	0.0004	1.0	1.0	1.0	1.0
0.0005	4.0	100	0.0004	1.0	1.0	1.0	1.0
0.0005	5.0	125	0.0003	1.0	1.0	1.0	1.0

Framework versions

Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0

vinhainsec/results

ft-bert-base-uncased-for-binary-search

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

vinhainsec/
results