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--- |
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base_model: facebook/mbart-large-50-many-to-many-mmt |
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tags: |
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- generated_from_trainer |
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metrics: |
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- bleu |
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model-index: |
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- name: mbart-large-50-many-to-many-mmt-finetuned-pt-to-en |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# mbart-large-50-many-to-many-mmt-finetuned-pt-to-en |
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This model is a fine-tuned version of [facebook/mbart-large-50-many-to-many-mmt](https://huggingface.co/facebook/mbart-large-50-many-to-many-mmt) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.8212 |
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- Bleu: 5.1667 |
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- Gen Len: 53.5411 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0002 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:| |
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| No log | 1.0 | 154 | 2.9955 | 1.7894 | 44.0952 | |
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| No log | 2.0 | 308 | 2.8970 | 2.326 | 46.8317 | |
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| No log | 3.0 | 462 | 2.9511 | 3.0767 | 55.8505 | |
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| 2.5276 | 4.0 | 616 | 3.0830 | 3.3555 | 48.737 | |
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| 2.5276 | 5.0 | 770 | 3.2703 | 3.5714 | 47.0602 | |
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| 2.5276 | 6.0 | 924 | 3.4241 | 4.3465 | 52.7744 | |
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| 1.0364 | 7.0 | 1078 | 3.5665 | 4.4909 | 52.705 | |
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| 1.0364 | 8.0 | 1232 | 3.6942 | 4.6399 | 50.4717 | |
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| 1.0364 | 9.0 | 1386 | 3.7852 | 5.2082 | 54.6205 | |
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| 0.3319 | 10.0 | 1540 | 3.8212 | 5.1667 | 53.5411 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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