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rubert-tiny2-war-posts-finetuned
lizaboiarchuk/rubert-tiny2-war-posts-finetuned
rubert-tiny2-war-posts-finetuned is a fill-mask model from lizaboiarchuk. 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
- Jan 30, 2023
- Updated
- Jan 30, 2023
- SHA
- a53090b2
Try a prompt
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. -->
rubert-tiny2-war-posts-finetuned
This model is a fine-tuned version of cointegrated/rubert-tiny2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.7097
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: 7
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.3638 | 1.0 | 1011 | 3.9762 |
| 4.1361 | 2.0 | 2022 | 3.8631 |
| 4.036 | 3.0 | 3033 | 3.7991 |
| 3.9467 | 4.0 | 4044 | 3.7706 |
| 3.8936 | 5.0 | 5055 | 3.7258 |
| 3.8732 | 6.0 | 6066 | 3.7155 |
| 3.8431 | 7.0 | 7077 | 3.6837 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Jan 30, 2023
- Updated
- Jan 30, 2023