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--- |
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tags: |
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- generated_from_trainer |
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datasets: |
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- ccmatrix |
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metrics: |
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- bleu |
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model-index: |
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- name: opus-mt-id-en-ccmatrix-v2 |
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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: ccmatrix |
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type: ccmatrix |
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config: en-id |
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split: train |
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args: en-id |
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metrics: |
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- name: Bleu |
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type: bleu |
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value: 52.173 |
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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-id-en-ccmatrix-v2 |
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This model was trained from scratch on the ccmatrix dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7667 |
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- Bleu: 52.173 |
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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: 1e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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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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- lr_scheduler_warmup_steps: 4000 |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | |
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|:-------------:|:-----:|:------:|:---------------:|:-------:| |
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| 0.803 | 1.0 | 148438 | 0.8185 | 50.3216 | |
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| 0.7212 | 2.0 | 296876 | 0.7904 | 51.282 | |
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| 0.6913 | 3.0 | 445314 | 0.7791 | 51.7806 | |
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| 0.6727 | 4.0 | 593752 | 0.7691 | 52.0263 | |
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| 0.6609 | 5.0 | 742190 | 0.7667 | 52.173 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 2.0.0 |
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- Datasets 2.10.1 |
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- Tokenizers 0.11.0 |
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