This model is a fine-tuned version of distilbert/distilbert-base-uncased on an "Resume Dataset" dataset.
It achieves the following results on the evaluation set:
Loss: 0.9181
Accuracy: 0.8290
Model description
More information needed
Intended uses & limitations
Classification of pdf resumes
Training and evaluation data
Data split:
Training : 80%
Test : 20%
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 2e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
