wsdbanglat5_2e4_IndicBART
This model is a fine-tuned version of ai4bharat/IndicBART on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0112
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: 0.0002
- 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0392 | 1.0 | 1481 | 0.0291 |
| 0.023 | 2.0 | 2962 | 0.0183 |
| 0.0191 | 3.0 | 4443 | 0.0180 |
| 0.0146 | 4.0 | 5924 | 0.0137 |
| 0.0146 | 5.0 | 7405 | 0.0128 |
| 0.0121 | 6.0 | 8886 | 0.0123 |
| 0.0122 | 7.0 | 10367 | 0.0118 |
| 0.012 | 8.0 | 11848 | 0.0117 |
| 0.0112 | 9.0 | 13329 | 0.0114 |
| 0.0116 | 10.0 | 14810 | 0.0112 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
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Base model
ai4bharat/IndicBART