metadata
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mbart-large-cc25-finetuned-hi-to-en-v2
results: []
mbart-large-cc25-finetuned-hi-to-en-v2
This model is a fine-tuned version of facebook/mbart-large-cc25 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8027
- Bleu: 33.4814
- Gen Len: 21.8974
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.8971 | 1.0 | 3955 | 1.6015 | 19.3557 | 43.7594 |
| 1.3266 | 2.0 | 7910 | 1.4917 | 19.1404 | 35.3155 |
| 0.9906 | 3.0 | 11865 | 1.5354 | 26.999 | 26.7497 |
| 0.6987 | 4.0 | 15820 | 1.6457 | 31.9572 | 23.4565 |
| 0.5073 | 5.0 | 19775 | 1.8544 | 34.1169 | 22.1507 |
| 0.3554 | 6.0 | 23730 | 2.0985 | 34.0746 | 22.2396 |
| 0.2423 | 7.0 | 27685 | 2.2534 | 33.2205 | 22.2184 |
| 0.1918 | 8.0 | 31640 | 2.4014 | 32.2001 | 22.635 |
| 0.1423 | 9.0 | 35595 | 2.5067 | 32.4074 | 22.8716 |
| 0.1105 | 10.0 | 39550 | 2.5618 | 33.1965 | 22.5905 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1