zhko_mbartLarge_19p_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: 1.4881
- Bleu: 9.8019
- Gen Len: 14.5611
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: 1500
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.1911 | 1.79 | 5000 | 1.4881 | 9.7977 | 14.6128 |
| 0.6536 | 3.59 | 10000 | 1.6061 | 13.3897 | 14.9179 |
| 0.3665 | 5.38 | 15000 | 1.7929 | 14.0018 | 15.2051 |
| 0.194 | 7.18 | 20000 | 1.9399 | 14.7102 | 14.7308 |
| 0.1004 | 8.97 | 25000 | 2.0679 | 14.9684 | 14.8811 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
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