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mbart-large-50-many-to-many-mmt-finetuned-test2
This model is a fine-tuned version of facebook/mbart-large-50-many-to-many-mmt on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.9283
- Rouge1: 28.015
- Rouge2: 11.5757
- Rougel: 23.4706
- Rougelsum: 27.303
- Gen Len: 48.8231
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.1456 | 1.0 | 2130 | 2.0695 | 24.7024 | 9.6769 | 20.91 | 24.0793 | 45.739 |
| 1.8957 | 2.0 | 4261 | 1.9656 | 25.8455 | 10.4715 | 21.9971 | 25.1654 | 50.9408 |
| 1.7359 | 3.0 | 6391 | 1.9281 | 26.9356 | 11.0235 | 22.709 | 26.197 | 51.5054 |
| 1.6207 | 4.0 | 8520 | 1.9283 | 28.015 | 11.5757 | 23.4706 | 27.303 | 48.8231 |
Framework versions
- Transformers 4.27.2
- Pytorch 1.13.0+cu117
- Datasets 2.7.1
- Tokenizers 0.13.2
