mbart-large-50-many-to-many-mmt-finetuned-hi-to-sn
This model is a fine-tuned version of facebook/mbart-large-50-many-to-many-mmt on the None dataset. It achieves the following results on the evaluation set:
- Loss: 10.2452
- Bleu: 1.9982
- Gen Len: 61.4
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
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 13.529 | 0.2581 | 1 | 12.2155 | 1.2723 | 109.8 |
| 13.0664 | 0.5161 | 2 | 11.4316 | 1.9024 | 65.0 |
| 12.1188 | 0.7742 | 3 | 10.9837 | 2.258 | 64.6 |
| 11.2461 | 1.0323 | 4 | 10.8421 | 1.8914 | 62.6 |
| 11.2396 | 1.2903 | 5 | 10.7537 | 0.9536 | 93.4 |
| 11.1143 | 1.5484 | 6 | 10.6779 | 1.6956 | 88.2 |
| 10.7726 | 1.8065 | 7 | 10.5891 | 2.0507 | 82.6 |
| 10.7751 | 2.0645 | 8 | 10.4973 | 1.6111 | 85.6 |
| 10.6148 | 2.3226 | 9 | 10.4231 | 2.1115 | 81.4 |
| 10.5548 | 2.5806 | 10 | 10.3634 | 3.0095 | 83.6 |
| 10.4732 | 2.8387 | 11 | 10.3168 | 1.939 | 87.8 |
| 10.4961 | 3.0968 | 12 | 10.2865 | 2.9337 | 86.6 |
| 10.4483 | 3.3548 | 13 | 10.2645 | 3.7622 | 60.4 |
| 10.3593 | 3.6129 | 14 | 10.2514 | 2.0713 | 60.4 |
| 10.4614 | 3.8710 | 15 | 10.2452 | 1.9982 | 61.4 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.3.0+cu118
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for Dc3337/mbart-large-50-many-to-many-mmt-finetuned-hi-to-sn
Base model
facebook/mbart-large-50-many-to-many-mmt