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--- |
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license: apache-2.0 |
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tags: |
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- translation |
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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: En-Nso_update2 |
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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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# En-Nso_update2 |
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-nso](https://huggingface.co/Helsinki-NLP/opus-mt-en-nso) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.4199 |
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- Bleu: 24.4776 |
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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: 32 |
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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: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:| |
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| 3.6661 | 1.0 | 865 | 3.0081 | 17.6871 | |
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| 2.7495 | 2.0 | 1730 | 2.7725 | 20.1475 | |
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| 2.4533 | 3.0 | 2595 | 2.6433 | 22.5433 | |
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| 2.3203 | 4.0 | 3460 | 2.5625 | 22.9963 | |
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| 2.1356 | 5.0 | 4325 | 2.5190 | 23.5696 | |
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| 2.0258 | 6.0 | 5190 | 2.4881 | 23.8367 | |
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| 1.9481 | 7.0 | 6055 | 2.4641 | 24.0611 | |
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| 1.8769 | 8.0 | 6920 | 2.4526 | 24.3214 | |
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| 1.8211 | 9.0 | 7785 | 2.4392 | 24.5300 | |
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| 1.7689 | 10.0 | 8650 | 2.4307 | 24.4627 | |
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| 1.7314 | 11.0 | 9515 | 2.4254 | 24.4936 | |
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| 1.7 | 12.0 | 10380 | 2.4243 | 24.4673 | |
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| 1.6695 | 13.0 | 11245 | 2.4202 | 24.5613 | |
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| 1.6562 | 14.0 | 12110 | 2.4200 | 24.4886 | |
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| 1.6446 | 15.0 | 12975 | 2.4199 | 24.4711 | |
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### Framework versions |
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- Transformers 4.20.1 |
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- Pytorch 1.12.0+cu113 |
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- Datasets 2.3.2 |
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- Tokenizers 0.12.1 |
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