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bert-base-cased-mms-ru-tuned
1kkiren/bert-base-cased-mms-ru-tuned
bert-base-cased-mms-ru-tuned is a text classification model from 1kkiren. Use it when you need a label for a piece of text. 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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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Nov 12, 2023
- Updated
- Dec 14, 2023
- SHA
- aae75117
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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. -->
bert-base-cased-mms-ru
This model is a fine-tuned version of bert-base-cased on the Brand24/mms dataset. It achieves the following results on the evaluation set:
- Loss: 0.7867
- Accuracy: 0.6655
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.8959 | 1.0 | 12617 | 0.8540 | 0.6411 |
| 0.8509 | 2.0 | 25234 | 0.8007 | 0.656 |
| 0.7848 | 3.0 | 37851 | 0.7867 | 0.6655 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Nov 12, 2023
- Updated
- Dec 14, 2023