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--- |
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license: apache-2.0 |
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base_model: Helsinki-NLP/opus-mt-en-mr |
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tags: |
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- translation |
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- generated_from_trainer |
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model-index: |
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- name: opus-mt-en-mr_en_mr_1 |
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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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# opus-mt-en-mr_en_mr_1 |
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-mr](https://huggingface.co/Helsinki-NLP/opus-mt-en-mr) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4423 |
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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: 0.0005 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- gradient_accumulation_steps: 32 |
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- total_train_batch_size: 2048 |
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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: 8 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 32 | 0.5390 | |
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| No log | 1.99 | 64 | 0.4928 | |
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| No log | 2.99 | 96 | 0.4789 | |
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| No log | 3.99 | 128 | 0.4641 | |
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| No log | 4.99 | 160 | 0.4536 | |
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| No log | 5.98 | 192 | 0.4472 | |
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| No log | 6.98 | 224 | 0.4437 | |
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| No log | 7.98 | 256 | 0.4423 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.2 |
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