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BERT_AA_IMDB_Top25_WithoutOOC_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: 0.5906
- Accuracy: 0.8837
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6502 | 1.0 | 1546 | 0.5579 | 0.8419 |
| 0.3898 | 2.0 | 3092 | 0.4939 | 0.8683 |
| 0.2161 | 3.0 | 4638 | 0.5019 | 0.88 |
| 0.1273 | 4.0 | 6184 | 0.5619 | 0.8784 |
| 0.0715 | 5.0 | 7730 | 0.5906 | 0.8837 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.8.0
- Datasets 2.10.1
- Tokenizers 0.13.2
