| --- |
| tags: |
| - generated_from_trainer |
| metrics: |
| - bleu |
| model-index: |
| - name: mBART_translator_json_hyperparameter_1 |
| 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_hyperparameter_1 |
|
|
| 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: 0.0871 |
| - Bleu: 86.6567 |
| - Gen Len: 43.0648 |
|
|
| ## Model description |
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|
| More information needed |
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|
| ## Intended uses & limitations |
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|
| More information needed |
|
|
| ## Training and evaluation data |
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|
| More information needed |
|
|
| ## Training procedure |
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|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 1e-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: 5 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
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|
| | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
| | 2.4912 | 1.0 | 1998 | 0.6319 | 66.5947 | 80.0315 | |
| | 1.4069 | 2.0 | 3996 | 0.2170 | 72.413 | 64.2111 | |
| | 1.0829 | 3.0 | 5994 | 0.1315 | 78.7786 | 40.3136 | |
| | 0.8977 | 4.0 | 7992 | 0.0979 | 84.3878 | 42.5152 | |
| | 0.8452 | 5.0 | 9990 | 0.0871 | 86.6567 | 43.0648 | |
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| ### Framework versions |
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|
| - Transformers 4.23.1 |
| - Pytorch 1.12.1+cu113 |
| - Datasets 2.6.0 |
| - Tokenizers 0.13.1 |
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|
