| --- |
| tags: |
| - generated_from_trainer |
| metrics: |
| - bleu |
| model-index: |
| - name: mBART_translator_json_sentence_split |
| 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_sentence_split |
|
|
| 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: 0.0769 |
| - Bleu: 87.2405 |
| - Gen Len: 27.425 |
|
|
| ## 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: 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 |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
| |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:| |
| | 2.0011 | 1.0 | 2978 | 0.5458 | 63.8087 | 32.3819 | |
| | 1.1978 | 2.0 | 5956 | 0.1854 | 76.5291 | 27.6781 | |
| | 0.9276 | 3.0 | 8934 | 0.1123 | 84.7194 | 27.5773 | |
| | 0.776 | 4.0 | 11912 | 0.0845 | 87.505 | 27.2845 | |
| | 0.6889 | 5.0 | 14890 | 0.0769 | 87.2405 | 27.425 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.23.1 |
| - Pytorch 1.12.1+cu113 |
| - Datasets 2.6.1 |
| - Tokenizers 0.13.1 |
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|
