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test_trainer
imalexianne/test_trainer
test_trainer is a text classification model from imalexianne. 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
- Nov 1, 2023
- Updated
- Nov 1, 2023
- SHA
- 2561ea4a
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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. -->
test_trainer
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: 0.8163
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7394 | 0.5 | 500 | 0.6840 |
| 0.6632 | 1.0 | 1000 | 0.5994 |
| 0.5285 | 1.5 | 1500 | 0.6457 |
| 0.5023 | 2.0 | 2000 | 0.5899 |
| 0.3422 | 2.5 | 2500 | 0.7876 |
| 0.3087 | 3.0 | 3000 | 0.8163 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Tokenizers 0.14.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Nov 1, 2023
- Updated
- Nov 1, 2023