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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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- translation |
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- en-to-ne |
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metrics: |
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- bleu |
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model-index: |
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- name: mbart-en-np-seqtoseq-sentence-translation |
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/darvilab/Training%20Sentence%20Translation/runs/nul533k2) |
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# mbart-en-np-seqtoseq-sentence-translation |
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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 an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1896 |
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- Bleu: 40.4595 |
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- Gen Len: 10.288 |
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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: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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: 5 |
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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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| 1.0147 | 1.0 | 1250 | 0.9876 | 40.1501 | 9.885 | |
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| 0.6038 | 2.0 | 2500 | 1.0122 | 40.728 | 10.113 | |
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| 0.3557 | 3.0 | 3750 | 1.0809 | 35.9297 | 10.844 | |
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| 0.2071 | 4.0 | 5000 | 1.1502 | 40.4318 | 10.28 | |
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| 0.1241 | 5.0 | 6250 | 1.1896 | 40.4595 | 10.288 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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