bcoqa-bt5
This model is a fine-tuned version of csebuetnlp/banglat5 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4858
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: 5
- eval_batch_size: 5
- 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 |
|---|---|---|---|
| 2.2574 | 0.36 | 10000 | 1.8188 |
| 1.9623 | 0.72 | 20000 | 1.5883 |
| 1.7387 | 1.08 | 30000 | 1.5452 |
| 1.7283 | 1.44 | 40000 | 1.5080 |
| 1.7291 | 1.8 | 50000 | 1.4858 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.1+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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Model tree for arbitropy/bcoqa-bt5
Base model
csebuetnlp/banglat5