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my_awesome_model
st2220/my_awesome_model
my_awesome_model is a text classification model from st2220. 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
- Mar 1, 2024
- Updated
- Mar 5, 2024
- SHA
- cfd5bad7
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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. -->
my_awesome_model
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: 0.7641
- Accuracy: 0.8527
- Precision: 0.4089
- Recall: 0.7731
- F1: 0.5349
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: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 149 | 0.4744 | 0.7615 | 0.3011 | 0.8908 | 0.4501 |
| No log | 2.0 | 298 | 0.3645 | 0.8343 | 0.3831 | 0.8403 | 0.5263 |
| No log | 3.0 | 447 | 0.2948 | 0.8849 | 0.4824 | 0.6891 | 0.5675 |
| 0.3675 | 4.0 | 596 | 0.7027 | 0.7974 | 0.3344 | 0.8571 | 0.4811 |
| 0.3675 | 5.0 | 745 | 0.5324 | 0.8729 | 0.4508 | 0.7311 | 0.5577 |
| 0.3675 | 6.0 | 894 | 0.6205 | 0.8692 | 0.4404 | 0.7143 | 0.5449 |
| 0.0851 | 7.0 | 1043 | 0.6734 | 0.8582 | 0.4163 | 0.7311 | 0.5305 |
| 0.0851 | 8.0 | 1192 | 0.7641 | 0.8527 | 0.4089 | 0.7731 | 0.5349 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Mar 1, 2024
- Updated
- Mar 5, 2024