Kabelo Malapane
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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: En-Tn_update
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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-Tn_update
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-tn](https://huggingface.co/Helsinki-NLP/opus-mt-en-tn) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.13002
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- Bleu: 39.1470
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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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|Epoch| Training Loss | Validation Loss| Bleu |
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|:---:|:---------------:|:----------------:|:-------:|
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| 1 | 1.929300 | 1.884056 | 29.762382|
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| 2 | 1.637300 | 1.605588 | 32.846868|
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| 3 | 1.500000 | 1.457442 | 34.307484|
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| 4 | 1.402400 | 1.356578 | 35.423774|
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| 5 | 1.324000 | 1.276492 | 36.553368|
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| 6 | 1.251300 | 1.221768 | 37.464270|
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| 7 | 1.224700 | 1.181320 | 38.157490|
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| 8 | 1.193200 | 1.152997 | 38.800566|
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| 9 | 1.166700 | 1.136147 | 38.985707|
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| 10 | 1.142500 | 1.130020 | 39.209327|
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### Framework versions
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- Transformers 4.21.0
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- Pytorch 1.12.0+cu113
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- Datasets 2.4.0
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- Tokenizers 0.12.1
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