mbart-ft-sci-ms-en
This model is a fine-tuned version of aparajitha/mbart-sci-ft on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.0887
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 | 274 | 2.1670 |
| 2.2407 | 2.0 | 548 | 2.0965 |
| 2.2407 | 3.0 | 822 | 2.0736 |
| 1.8351 | 4.0 | 1096 | 2.0798 |
| 1.8351 | 5.0 | 1370 | 2.0785 |
| 1.6666 | 6.0 | 1644 | 2.0887 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.3.1.post300
- Datasets 2.19.1
- Tokenizers 0.19.1