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idp-headers
Anurag0961/idp-headers
idp-headers is a text classification model from Anurag0961. 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
- Sep 8, 2022
- Updated
- Sep 8, 2022
- SHA
- abe647fd
Try a prompt
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. -->
idp-headers
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6714
- F1: 0.4823
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 1.7995 | 1.0 | 5 | 1.8557 | 0.1629 |
| 1.7125 | 2.0 | 10 | 1.7832 | 0.1759 |
| 1.6381 | 3.0 | 15 | 1.7243 | 0.4698 |
| 1.5746 | 4.0 | 20 | 1.6857 | 0.4823 |
| 1.5354 | 5.0 | 25 | 1.6714 | 0.4823 |
Framework versions
- Transformers 4.21.3
- Pytorch 1.12.1+cu113
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Sep 8, 2022
- Updated
- Sep 8, 2022