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finetuned-tiny-bert_second_attempt
Bul11k/finetuned-tiny-bert_second_attempt
finetuned-tiny-bert_second_attempt is a fill-mask model from Bul11k. 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
- Feb 25, 2024
- Updated
- Feb 25, 2024
- SHA
- 8d7b7a48
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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. -->
finetuned-tiny-bert_second_attempt
This model is a fine-tuned version of cointegrated/rubert-tiny on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.2433
- Accuracy: 0.5666
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: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Feb 25, 2024
- Updated
- Feb 25, 2024