Kabelo Malapane
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update model card README.md
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README.md
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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: Nso-En_update3
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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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# Nso-En_update3
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-nso-en](https://huggingface.co/Helsinki-NLP/opus-mt-nso-en) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.6854
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- Bleu: 21.2223
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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: 16
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- eval_batch_size: 32
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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 |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|
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| 3.5054 | 1.0 | 1734 | 3.1912 | 16.5243 |
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| 3.0368 | 2.0 | 3468 | 2.9680 | 18.0237 |
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| 2.6866 | 3.0 | 5202 | 2.8594 | 19.5515 |
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| 2.51 | 4.0 | 6936 | 2.7916 | 20.1468 |
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| 2.3754 | 5.0 | 8670 | 2.7438 | 20.0535 |
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| 2.2534 | 6.0 | 10404 | 2.7186 | 20.7329 |
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| 2.144 | 7.0 | 12138 | 2.7034 | 20.9116 |
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| 2.0709 | 8.0 | 13872 | 2.6945 | 21.0866 |
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| 2.0191 | 9.0 | 15606 | 2.6880 | 21.1577 |
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| 1.9973 | 10.0 | 17340 | 2.6854 | 21.1386 |
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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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