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BERT_AA_IMDB_Top25_WithoutOOC_082023_MultilingualBertBase
gregorgabrovsek/BERT_AA_IMDB_Top25_WithoutOOC_082023_MultilingualBertBase
BERT_AA_IMDB_Top25_WithoutOOC_082023_MultilingualBertBase is a text classification model from gregorgabrovsek. 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
- Aug 19, 2023
- Updated
- Aug 19, 2023
- SHA
- ff8669cd
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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. -->
BERT_AA_IMDB_Top25_WithoutOOC_082023_MultilingualBertBase
This model is a fine-tuned version of bert-base-multilingual-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8096
- Accuracy: 0.8897
- F1: 0.8900
- Precision: 0.8921
- Recall: 0.8897
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: 12
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.6413 | 1.0 | 1546 | 0.5677 | 0.8439 | 0.8463 | 0.8603 | 0.8439 |
| 0.393 | 2.0 | 3092 | 0.5086 | 0.8646 | 0.8646 | 0.8744 | 0.8646 |
| 0.2405 | 3.0 | 4638 | 0.5119 | 0.8766 | 0.8761 | 0.8803 | 0.8766 |
| 0.1519 | 4.0 | 6184 | 0.6243 | 0.8760 | 0.8755 | 0.8813 | 0.8760 |
| 0.0843 | 5.0 | 7730 | 0.6824 | 0.8805 | 0.8816 | 0.8859 | 0.8805 |
| 0.034 | 6.0 | 9276 | 0.7602 | 0.8839 | 0.8837 | 0.8864 | 0.8839 |
| 0.0281 | 7.0 | 10822 | 0.7643 | 0.8866 | 0.8871 | 0.8896 | 0.8866 |
| 0.0134 | 8.0 | 12368 | 0.8116 | 0.8863 | 0.8856 | 0.8871 | 0.8863 |
| 0.0117 | 9.0 | 13914 | 0.8050 | 0.8883 | 0.8883 | 0.8900 | 0.8883 |
| 0.0031 | 10.0 | 15460 | 0.8096 | 0.8897 | 0.8900 | 0.8921 | 0.8897 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.8.0
- Datasets 2.10.1
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Aug 19, 2023
- Updated
- Aug 19, 2023