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bert-base-uncased-finetuned-imdb-mlm-not-downsampled
luciajw/bert-base-uncased-finetuned-imdb-mlm-not-downsampled
bert-base-uncased-finetuned-imdb-mlm-not-downsampled is a fill-mask model from luciajw. Use it when you need the model to fill a missing word. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Nov 14, 2024
- Updated
- Nov 14, 2024
- SHA
- beb34267
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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. -->
bert-base-uncased-finetuned-imdb-mlm-not-downsampled
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.0270
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.189 | 1.0 | 958 | 2.0739 |
| 2.1456 | 2.0 | 1916 | 2.0363 |
| 2.1134 | 3.0 | 2874 | 2.0210 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- Created
- Nov 14, 2024
- Updated
- Nov 14, 2024