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deberta-v3-base-finetuned-imdb
ThetaPhiPsi/deberta-v3-base-finetuned-imdb
deberta-v3-base-finetuned-imdb is a fill-mask model from ThetaPhiPsi. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- mit
- Model type
- deberta-v2
- Access
- Public
- Created
- Dec 8, 2022
- Updated
- Dec 8, 2022
- SHA
- a6196bc2
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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. -->
deberta-v3-base-finetuned-imdb
This model is a fine-tuned version of microsoft/deberta-v3-base on the imdb dataset. It achieves the following results on the evaluation set:
- Loss: 3.0016
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: 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: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.2666 | 1.0 | 6690 | 3.4001 |
| 3.3574 | 2.0 | 13380 | 3.1174 |
| 3.1715 | 3.0 | 20070 | 3.0034 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu117
- Datasets 2.7.1
- Tokenizers 0.13.2
- Task
- Fill-Mask
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Created
- Dec 8, 2022
- Updated
- Dec 8, 2022