banglat5-finetuned-headlineBT5_1000_batch8
This model is a fine-tuned version of csebuetnlp/banglat5 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 5.6966
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: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|
| 10.9087 | 1.0 | 80 | 7.1863 |
| 8.5131 | 2.0 | 160 | 6.5662 |
| 8.0331 | 3.0 | 240 | 6.0913 |
| 6.9394 | 4.0 | 320 | 5.7946 |
| 7.3738 | 5.0 | 400 | 5.6966 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
csebuetnlp/banglat5