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rubert-tiny2-finetuned-fintech
Pastushoc/rubert-tiny2-finetuned-fintech
rubert-tiny2-finetuned-fintech is a fill-mask model from Pastushoc. 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
- Apr 13, 2024
- Updated
- Apr 13, 2024
- SHA
- 58416e18
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Base models
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. -->
rubert-tiny2-finetuned-fintech
This model is a fine-tuned version of cointegrated/rubert-tiny2 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 5.3573
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.698 | 1.0 | 2069 | 5.4277 |
| 5.5758 | 2.0 | 4138 | 5.3573 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Apr 13, 2024
- Updated
- Apr 13, 2024