bert-base-multilingual-cased-finetuned-squadBN-512
This model is a fine-tuned version of google-bert/bert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5848
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: 16
- eval_batch_size: 16
- 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 |
|---|---|---|---|
| 2.1485 | 1.0 | 688 | 1.4901 |
| 1.4626 | 2.0 | 1376 | 1.5978 |
| 0.9818 | 3.0 | 2064 | 1.5848 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
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Model tree for AsifAbrar6/bert-base-multilingual-cased-finetuned-squadBN-512
Base model
google-bert/bert-base-multilingual-cased