wsdbanglat5_2e5
This model is a fine-tuned version of csebuetnlp/banglat5 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3531
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: 4
- eval_batch_size: 4
- 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 |
|---|---|---|---|
| 3.9708 | 1.0 | 1481 | 0.4500 |
| 2.7987 | 2.0 | 2962 | 0.1304 |
| 1.4122 | 3.0 | 4443 | 3.2775 |
| 1.3342 | 4.0 | 5924 | 1.4077 |
| 1.0543 | 5.0 | 7405 | 0.3531 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.1.2
- Datasets 2.19.1
- Tokenizers 0.19.1
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csebuetnlp/banglat5