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--- |
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license: apache-2.0 |
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language: |
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- ne |
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- en |
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tags: |
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- English to Nepali Translator |
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- MT5 Fine Tuned |
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- Nepali Translator Dataset |
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model-index: |
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- name: mt5-eng2nep |
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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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# mt5-eng2nep |
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## Model description |
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This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) trained on "Nepali Translator" dataset. This fine-tuned model is for translating English to Nepali language (with limited capability) |
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## Training and evaluation data |
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- "Nepali Translator" dataset: (https://github.com/sharad461/nepali-translator) |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 64 |
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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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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 3.8424 | 0.26 | 500 | 2.9765 | |
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| 3.2655 | 0.53 | 1000 | 2.5221 | |
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| 2.9425 | 0.79 | 1500 | 2.3160 | |
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| 2.7533 | 1.05 | 2000 | 2.2170 | |
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| 2.7147 | 1.32 | 2500 | 2.1432 | |
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| 2.6331 | 1.58 | 3000 | 2.0872 | |
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| 2.5863 | 1.84 | 3500 | 2.0526 | |
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| 2.492 | 2.11 | 4000 | 2.0274 | |
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| 2.4757 | 2.37 | 4500 | 1.9948 | |
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| 2.4423 | 2.63 | 5000 | 1.9855 | |
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| 2.4339 | 2.9 | 5500 | 1.9645 | |
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| 2.3955 | 3.16 | 6000 | 1.9530 | |
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| 2.372 | 3.42 | 6500 | 1.9454 | |
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| 2.3661 | 3.69 | 7000 | 1.9410 | |
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| 2.3553 | 3.95 | 7500 | 1.9387 | |
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### Framework versions |
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- Transformers 4.13.0 |
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- Pytorch 1.11.0 |
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- Datasets 1.16.1 |
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- Tokenizers 0.10.3 |
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