metadata

license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: resume_model
    results: []

resume_model

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
lr_scheduler_type: linear
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.2489	1.0	1987	0.9181	0.8290

Framework versions

Transformers 4.38.1
Pytorch 2.2.1
Datasets 2.17.1
Tokenizers 0.15.2