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my_awesome_model
fhjhl/my_awesome_model
my_awesome_model is a text classification model from fhjhl. 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 25, 2024
- Updated
- Mar 26, 2024
- SHA
- 7d76619e
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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/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3837
- Accuracy: 0.8642
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 192 | 0.4443 | 0.8407 |
| No log | 2.0 | 384 | 0.4431 | 0.8407 |
| 0.3652 | 3.0 | 576 | 0.4471 | 0.8407 |
| 0.3652 | 4.0 | 768 | 0.3579 | 0.8642 |
| 0.3652 | 5.0 | 960 | 0.3823 | 0.8642 |
| 0.3287 | 6.0 | 1152 | 0.3654 | 0.8642 |
| 0.3287 | 7.0 | 1344 | 0.3694 | 0.8642 |
| 0.2929 | 8.0 | 1536 | 0.3688 | 0.8642 |
| 0.2929 | 9.0 | 1728 | 0.3817 | 0.8642 |
| 0.2929 | 10.0 | 1920 | 0.3837 | 0.8642 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.16.1
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Mar 25, 2024
- Updated
- Mar 26, 2024