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BERT_AA_IMDB_Top10_WithoutOOC_082023_MultilingualBertBase
gregorgabrovsek/BERT_AA_IMDB_Top10_WithoutOOC_082023_MultilingualBertBase
BERT_AA_IMDB_Top10_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
- de759678
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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_Top10_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: 1.5953
- Accuracy: 0.8514
- F1: 0.8339
- Precision: 0.9032
- Recall: 0.8514
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 |
|---|---|---|---|---|---|---|---|
| 0.1525 | 1.0 | 1041 | 1.0378 | 0.8286 | 0.8108 | 0.8693 | 0.8286 |
| 0.0992 | 2.0 | 2082 | 1.2450 | 0.8322 | 0.8087 | 0.8651 | 0.8322 |
| 0.0455 | 3.0 | 3123 | 1.3247 | 0.8425 | 0.8243 | 0.8908 | 0.8425 |
| 0.0257 | 4.0 | 4164 | 1.2742 | 0.8519 | 0.8302 | 0.8902 | 0.8519 |
| 0.0147 | 5.0 | 5205 | 1.3365 | 0.8505 | 0.8295 | 0.8907 | 0.8505 |
| 0.0049 | 6.0 | 6246 | 1.4477 | 0.8512 | 0.8326 | 0.8971 | 0.8512 |
| 0.0038 | 7.0 | 7287 | 1.5881 | 0.8445 | 0.8242 | 0.8938 | 0.8445 |
| 0.0043 | 8.0 | 8328 | 1.5755 | 0.85 | 0.8313 | 0.8951 | 0.85 |
| 0.0014 | 9.0 | 9369 | 1.5594 | 0.8512 | 0.8302 | 0.8948 | 0.8512 |
| 0.0011 | 10.0 | 10410 | 1.5953 | 0.8514 | 0.8339 | 0.9032 | 0.8514 |
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