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distilbert-base-uncased-finetuned-wos
alvin-wen/distilbert-base-uncased-finetuned-wos
distilbert-base-uncased-finetuned-wos is a fill-mask model from alvin-wen. 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
- Aug 9, 2023
- Updated
- Aug 9, 2023
- SHA
- f5bfddae
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Base models
Datasets
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-finetuned-wos
This model is a fine-tuned version of distilbert-base-uncased on the web_of_science dataset. It achieves the following results on the evaluation set:
- Loss: 2.2025
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.5312 | 1.0 | 357 | 2.2975 |
| 2.3847 | 2.0 | 714 | 2.2568 |
| 2.3388 | 3.0 | 1071 | 2.2108 |
| 2.3076 | 4.0 | 1428 | 2.2158 |
| 2.2887 | 5.0 | 1785 | 2.2154 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Fill-Mask
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Aug 9, 2023
- Updated
- Aug 9, 2023