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distilbert-base-uncased-enneagram
LandersonMiguel/distilbert-base-uncased-enneagram
distilbert-base-uncased-enneagram is a text classification model from LandersonMiguel. 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
- Jul 27, 2024
- Updated
- Jul 27, 2024
- SHA
- f2db63c6
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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. -->
distilbert-base-uncased-enneagram
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.0632
- Accuracy: 0.625
- F1: 0.55
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 1 | 2.2359 | 0.25 | 0.1562 |
| No log | 2.0 | 2 | 2.2038 | 0.25 | 0.1562 |
| No log | 3.0 | 3 | 2.1745 | 0.25 | 0.1562 |
| No log | 4.0 | 4 | 2.1484 | 0.375 | 0.2857 |
| No log | 5.0 | 5 | 2.1260 | 0.5 | 0.4167 |
| No log | 6.0 | 6 | 2.1058 | 0.5 | 0.4167 |
| No log | 7.0 | 7 | 2.0888 | 0.625 | 0.55 |
| 2.1836 | 8.0 | 8 | 2.0762 | 0.625 | 0.55 |
| 2.1836 | 9.0 | 9 | 2.0678 | 0.625 | 0.55 |
| 2.1836 | 10.0 | 10 | 2.0632 | 0.625 | 0.55 |
Framework versions
- Transformers 4.30.0
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jul 27, 2024
- Updated
- Jul 27, 2024