mbart-sci-ms-tr
This model is a fine-tuned version of aparajitha/mbart-sci-tr on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.0857
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: 6
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 273 | 2.1578 |
| 2.2088 | 2.0 | 546 | 2.0978 |
| 2.2088 | 3.0 | 819 | 2.0761 |
| 1.8582 | 4.0 | 1092 | 2.0666 |
| 1.8582 | 5.0 | 1365 | 2.0781 |
| 1.6876 | 6.0 | 1638 | 2.0857 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.3.1.post300
- Datasets 2.19.1
- Tokenizers 0.19.1
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