| | --- |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - bleu |
| | model-index: |
| | - name: lg-en-v4 |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # lg-en-v4 |
| |
|
| | This model is a fine-tuned version of [AI-Lab-Makerere/lg_en](https://huggingface.co/AI-Lab-Makerere/lg_en) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.1615 |
| | - Bleu: 28.3855 |
| |
|
| | ## Model description |
| |
|
| | More information needed |
| |
|
| | ## Intended uses & limitations |
| |
|
| | More information needed |
| |
|
| | ## Training and evaluation data |
| |
|
| | More information needed |
| |
|
| | ## Training procedure |
| |
|
| | ### Training hyperparameters |
| |
|
| | The following hyperparameters were used during training: |
| | - learning_rate: 4.4271483249908667e-05 |
| | - train_batch_size: 14 |
| | - eval_batch_size: 6 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 2 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Bleu | |
| | |:-------------:|:-----:|:----:|:---------------:|:-------:| |
| | | No log | 1.0 | 26 | 1.2704 | 25.9847 | |
| | | No log | 2.0 | 52 | 1.1615 | 28.3855 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.22.2 |
| | - Pytorch 1.12.1+cu113 |
| | - Datasets 2.5.1 |
| | - Tokenizers 0.12.1 |
| |
|
