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distilbert-base-uncased-unlearned-sun
bqKuhli/distilbert-base-uncased-unlearned-sun
distilbert-base-uncased-unlearned-sun is a fill-mask model from bqKuhli. Use it when you need the model to fill a missing word. 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
- Fill-Mask
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Nov 29, 2023
- Updated
- Dec 8, 2023
- SHA
- 5261b44e
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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. -->
distilbert-base-uncased-unlearned-sun
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: 1.7688
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.8899 | 1.0 | 4 | 0.7782 |
| 2.0781 | 2.0 | 8 | 1.5359 |
| 3.2087 | 3.0 | 12 | 1.7688 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cpu
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Fill-Mask
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Nov 29, 2023
- Updated
- Dec 8, 2023