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jako_mbartLarge_6p_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: 1.1539
- Bleu: 26.2658
- Gen Len: 19.3961
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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 |
|---|---|---|---|---|---|
| 1.4641 | 0.48 | 1000 | 1.3276 | 21.6162 | 19.4434 |
| 1.2615 | 0.96 | 2000 | 1.1866 | 24.346 | 19.4734 |
| 0.9103 | 1.44 | 3000 | 1.1638 | 25.4249 | 19.0086 |
| 0.8285 | 1.92 | 4000 | 1.1539 | 26.2658 | 19.3961 |
| 0.5977 | 2.4 | 5000 | 1.1978 | 25.5651 | 19.6248 |
| 0.5423 | 2.88 | 6000 | 1.1830 | 26.8441 | 19.1349 |
| 0.3816 | 3.36 | 7000 | 1.2670 | 26.1301 | 19.1207 |
| 0.3412 | 3.84 | 8000 | 1.2870 | 26.7783 | 19.2417 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
