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resume_model
syedroshanzameer/resume_model
resume_model is a text classification model from syedroshanzameer. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Feb 25, 2024
- Updated
- Feb 26, 2024
- SHA
- 373fc905
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
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
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Feb 25, 2024
- Updated
- Feb 26, 2024