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jako_mbartLarge_6p
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: 1.1470
- Bleu: 21.2511
- Gen Len: 19.566
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: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 16
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 300
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.4498 | 0.48 | 1000 | 1.3303 | 16.7947 | 20.0778 |
| 1.263 | 0.96 | 2000 | 1.1884 | 18.6214 | 20.6673 |
| 0.8999 | 1.44 | 3000 | 1.1702 | 18.9014 | 19.4064 |
| 0.827 | 1.92 | 4000 | 1.1470 | 21.2511 | 19.566 |
| 0.5948 | 2.4 | 5000 | 1.2115 | 20.5498 | 19.3941 |
| 0.5404 | 2.88 | 6000 | 1.2167 | 21.2187 | 19.4357 |
| 0.3842 | 3.36 | 7000 | 1.2711 | 20.7732 | 19.3493 |
| 0.3419 | 3.84 | 8000 | 1.2910 | 20.7001 | 19.3106 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
