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MiniLM-L12-H384-uncased-finetuned-imdb
lewtun/MiniLM-L12-H384-uncased-finetuned-imdb
MiniLM-L12-H384-uncased-finetuned-imdb is a fill-mask model from lewtun. 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
- bert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Sep 28, 2021
- SHA
- 95050a6c
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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. -->
MiniLM-L12-H384-uncased-finetuned-imdb
This model is a fine-tuned version of microsoft/MiniLM-L12-H384-uncased on the imdb dataset. It achieves the following results on the evaluation set:
- Loss: 3.9328
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: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.2464 | 1.0 | 391 | 4.2951 |
| 4.2302 | 2.0 | 782 | 4.0023 |
| 4.0726 | 3.0 | 1173 | 3.9328 |
Framework versions
- Transformers 4.10.3
- Pytorch 1.9.1+cu111
- Datasets 1.12.1
- Tokenizers 0.10.3
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Mar 2, 2022
- Updated
- Sep 28, 2021