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--- |
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license: mit |
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base_model: VietAI/vit5-base |
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tags: |
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- generated_from_trainer |
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datasets: |
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- mt_eng_vietnamese |
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metrics: |
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- bleu |
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model-index: |
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- name: my_translator_vi-en |
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results: |
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- task: |
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name: Sequence-to-sequence Language Modeling |
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type: text2text-generation |
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dataset: |
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name: mt_eng_vietnamese |
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type: mt_eng_vietnamese |
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config: iwslt2015-vi-en |
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split: test[:2%] |
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args: iwslt2015-vi-en |
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metrics: |
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- name: Bleu |
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type: bleu |
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value: 2.6085 |
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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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# my_translator_vi-en |
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This model is a fine-tuned version of [VietAI/vit5-base](https://huggingface.co/VietAI/vit5-base) on the mt_eng_vietnamese dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.3819 |
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- Bleu: 2.6085 |
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- Gen Len: 18.36 |
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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: 4 |
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- eval_batch_size: 4 |
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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: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:| |
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| 3.9425 | 1.0 | 667 | 3.5155 | 2.3213 | 17.32 | |
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| 3.2655 | 2.0 | 1334 | 3.3819 | 2.6085 | 18.36 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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