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--- |
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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: mt5-base-en-ru |
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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-base-en-ru |
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This model was trained from scratch on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8401 |
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- Bleu: 12.2867 |
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- Gen Len: 17.8712 |
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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: 0.0004 |
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- train_batch_size: 14 |
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- eval_batch_size: 3 |
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- seed: 42 |
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- gradient_accumulation_steps: 10 |
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- total_train_batch_size: 140 |
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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: 5 |
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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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| 1.1469 | 1.0 | 11019 | 1.0554 | 10.1262 | 17.8974 | |
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| 1.0112 | 2.0 | 22038 | 0.9529 | 10.9674 | 17.8698 | |
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| 0.937 | 3.0 | 33057 | 0.8913 | 11.6301 | 17.8687 | |
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| 0.8809 | 4.0 | 44076 | 0.8545 | 11.9517 | 17.8833 | |
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| 0.8501 | 5.0 | 55095 | 0.8401 | 12.2867 | 17.8712 | |
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### Framework versions |
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- Transformers 4.16.2 |
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- Pytorch 1.10.2+cu113 |
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- Datasets 1.18.3 |
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- Tokenizers 0.11.0 |
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