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log_pretrained-bert
eun-woo/log_pretrained-bert
log_pretrained-bert is a fill-mask model from eun-woo. 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
- Aug 30, 2024
- Updated
- Aug 30, 2024
- SHA
- c161ecf6
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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. -->
log_pretrained-bert
This model is a fine-tuned version of OUTPUT_DIR_spark on an unknown dataset.
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 64
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0
Training results
Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.3.0
- Datasets 2.21.0
- Tokenizers 0.19.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- Created
- Aug 30, 2024
- Updated
- Aug 30, 2024