zhko_mbartLarge_100p_run1
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: 0.7819
- Bleu: 45.7383
- Gen Len: 13.0535
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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.0208 | 1.0 | 69443 | 0.8814 | 41.5541 | 13.044 |
| 0.8756 | 2.0 | 138887 | 0.8034 | 44.6906 | 13.1329 |
| 0.7566 | 3.0 | 208330 | 0.7819 | 45.7383 | 13.0535 |
| 0.6239 | 4.0 | 277774 | 0.7928 | 46.5398 | 12.9925 |
| 0.5245 | 5.0 | 347217 | 0.8333 | 46.9153 | 13.0368 |
| 0.4333 | 6.0 | 416661 | 0.8993 | 46.5833 | 12.9999 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Downloads last month
- 0