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ruBert-base-finetuned-russian-moshkov-child-corpus-pro
a-v-bely/ruBert-base-finetuned-russian-moshkov-child-corpus-pro
ruBert-base-finetuned-russian-moshkov-child-corpus-pro is a fill-mask model from a-v-bely. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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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. -->
ruBert-base-finetuned-russian-moshkov-child-corpus-pro
This model is a fine-tuned version of sberbank-ai/ruBert-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9961
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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.3098 | 1.0 | 31096 | 2.0987 |
| 2.1516 | 2.0 | 62192 | 2.0293 |
| 2.0897 | 3.0 | 93288 | 1.9993 |
Framework versions
- Transformers 4.27.2
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Mar 21, 2023
- Updated
- Jun 26, 2023