banglat5_small-bcoqa
This model is a fine-tuned version of csebuetnlp/banglat5_small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7000
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: 5e-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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.2106 | 0.3 | 3500 | 1.9410 |
| 2.0379 | 0.61 | 7000 | 1.8165 |
| 1.9777 | 0.91 | 10500 | 1.7523 |
| 1.8829 | 1.21 | 14000 | 1.7204 |
| 1.9278 | 1.51 | 17500 | 1.7048 |
| 1.8719 | 1.82 | 21000 | 1.7000 |
Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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Base model
csebuetnlp/banglat5_small