This model is a fine-tuned version of google/bert_uncased_L-4_H-512_A-8 on the eoir_privacy dataset. It achieves the following results on the evaluation set:

Loss: 0.2159
Accuracy: 0.9175
F1: 0.8093

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 128
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
No log	1.0	63	0.2343	0.9125	0.7953
No log	2.0	126	0.2269	0.9110	0.8006
No log	3.0	189	0.2159	0.9175	0.8093

Framework versions

Transformers 4.21.1
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1

muhtasham/bert-small-finetuned-eoir_privacy

bert_uncased_L-4_H-512_A-8-finetuned-eoir_privacy

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

muhtasham/
bert-small-finetuned-eoir_privacy