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BERT_AA_IMDB_Top50_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: 0.6099
- Accuracy: 0.8738
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 |
|---|---|---|---|---|
| 0.9155 | 1.0 | 2134 | 0.7581 | 0.8085 |
| 0.5189 | 2.0 | 4268 | 0.5842 | 0.8526 |
| 0.2917 | 3.0 | 6402 | 0.5730 | 0.8613 |
| 0.1497 | 4.0 | 8536 | 0.6012 | 0.8693 |
| 0.0807 | 5.0 | 10670 | 0.6099 | 0.8738 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.8.0
- Datasets 2.10.1
- Tokenizers 0.13.2
