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tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mBART_translator_json_2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mBART_translator_json_2
This model is a fine-tuned version of [facebook/mbart-large-cc25](https://huggingface.co/facebook/mbart-large-cc25) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1203
- Bleu: 77.8658
- Gen Len: 36.1527
## 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: 8
- eval_batch_size: 8
- seed: 42
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 1.7858 | 1.0 | 1912 | 0.6568 | 55.2937 | 75.6389 |
| 0.994 | 2.0 | 3824 | 0.4015 | 71.3655 | 35.744 |
| 0.7267 | 3.0 | 5736 | 0.2971 | 66.7522 | 34.5473 |
| 0.5916 | 4.0 | 7648 | 0.2437 | 80.0233 | 37.4331 |
| 0.502 | 5.0 | 9560 | 0.2072 | 80.9632 | 36.9833 |
| 0.433 | 6.0 | 11472 | 0.1767 | 69.9384 | 36.6381 |
| 0.3581 | 7.0 | 13384 | 0.1566 | 64.615 | 34.8954 |
| 0.3244 | 8.0 | 15296 | 0.1382 | 77.5563 | 36.1736 |
| 0.2815 | 9.0 | 17208 | 0.1259 | 76.1662 | 36.1548 |
| 0.2555 | 10.0 | 19120 | 0.1203 | 77.8658 | 36.1527 |
### Framework versions
- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Datasets 2.5.2
- Tokenizers 0.13.1
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