mbart-sci-ms-tr-hi
This model is a fine-tuned version of aparajitha/mbart-ft-sci-ms-en on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.7499
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.3763 | 1.0 | 2904 | 2.5883 |
| 2.1843 | 2.0 | 5808 | 2.5540 |
| 1.9488 | 3.0 | 8712 | 2.5917 |
| 1.7875 | 4.0 | 11616 | 2.6334 |
| 1.6368 | 5.0 | 14520 | 2.7048 |
| 1.5575 | 6.0 | 17424 | 2.7499 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.4.1.post300
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for aparajitha/mbart-sci-ms-tr-hi
Base model
facebook/mbart-large-50
Finetuned
aparajitha/mbart-sci-ft
Finetuned
aparajitha/mbart-ft-sci-ms-en