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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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- generated_from_trainer
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metrics:
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- bleu
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model-index:
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- name: MarianMix_en-10
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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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# MarianMix_en-10
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-zh](https://huggingface.co/Helsinki-NLP/opus-mt-en-zh) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0003
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- Bleu: 15.2309
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- Gen Len: 36.7472
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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: 0.0001
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 99
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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: 10
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- num_epochs: 5
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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 | Bleu | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
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| 1.7988 | 0.44 | 500 | 1.9422 | 0.0 | 8.1057 |
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| 1.0094 | 0.89 | 1000 | 1.6961 | 0.0044 | 11.6113 |
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| 0.849 | 1.33 | 1500 | 1.4661 | 5.0612 | 42.1319 |
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| 0.7512 | 1.78 | 2000 | 1.2904 | 7.2949 | 41.1219 |
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| 0.6542 | 2.22 | 2500 | 1.1847 | 10.0266 | 41.9235 |
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| 0.6081 | 2.67 | 3000 | 1.1217 | 9.5742 | 33.0483 |
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| 0.5694 | 3.11 | 3500 | 1.0763 | 13.6519 | 40.5599 |
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| 0.5304 | 3.56 | 4000 | 1.0447 | 13.6182 | 37.2709 |
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| 0.5171 | 4.0 | 4500 | 1.0193 | 14.4302 | 38.7533 |
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| 0.4841 | 4.44 | 5000 | 1.0093 | 14.898 | 36.4763 |
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| 0.4779 | 4.89 | 5500 | 1.0003 | 15.2309 | 36.7472 |
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### Framework versions
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- Transformers 4.12.5
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- Pytorch 1.9.1
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- Datasets 1.17.0
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- Tokenizers 0.10.3
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