metadata
license: mit
base_model: sagorsarker/bangla-bert-base
tags:
- generated_from_trainer
model-index:
- name: bangla-bert-base-finetuned-squadbn
results: []
bangla-bert-base-finetuned-squadbn
This model is a fine-tuned version of sagorsarker/bangla-bert-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.2687
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 |
|---|---|---|---|
| 2.8877 | 1.0 | 681 | 2.2434 |
| 2.3749 | 2.0 | 1362 | 2.1795 |
| 1.8293 | 3.0 | 2043 | 2.2687 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1