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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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datasets: |
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- id_panl_bppt |
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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-finetuned-id-to-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: id_panl_bppt |
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type: id_panl_bppt |
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config: id_panl_bppt |
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split: train |
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args: id_panl_bppt |
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metrics: |
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- name: Bleu |
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type: bleu |
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value: 30.557 |
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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-finetuned-id-to-en |
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-id-en](https://huggingface.co/Helsinki-NLP/opus-mt-id-en) on the id_panl_bppt dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6469 |
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- Bleu: 30.557 |
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- Gen Len: 29.8247 |
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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-06 |
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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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- num_epochs: 30 |
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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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| 2.5737 | 1.0 | 751 | 2.2222 | 24.4223 | 30.3344 | |
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| 2.3756 | 2.0 | 1502 | 2.1264 | 25.419 | 30.3147 | |
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| 2.3146 | 3.0 | 2253 | 2.0588 | 26.0995 | 30.1959 | |
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| 2.2411 | 4.0 | 3004 | 2.0072 | 26.5944 | 30.0763 | |
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| 2.1927 | 5.0 | 3755 | 1.9657 | 27.0422 | 30.0773 | |
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| 2.1554 | 6.0 | 4506 | 1.9284 | 27.4151 | 30.0715 | |
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| 2.1105 | 7.0 | 5257 | 1.8980 | 27.6645 | 29.9426 | |
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| 2.0841 | 8.0 | 6008 | 1.8680 | 28.023 | 29.9797 | |
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| 2.0491 | 9.0 | 6759 | 1.8438 | 28.2456 | 29.9342 | |
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| 2.0265 | 10.0 | 7510 | 1.8218 | 28.5378 | 29.8968 | |
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| 2.0065 | 11.0 | 8261 | 1.8012 | 28.7599 | 29.8907 | |
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| 1.9764 | 12.0 | 9012 | 1.7835 | 28.9369 | 29.8796 | |
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| 1.969 | 13.0 | 9763 | 1.7663 | 29.1565 | 29.8671 | |
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| 1.9474 | 14.0 | 10514 | 1.7506 | 29.3313 | 29.893 | |
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| 1.9397 | 15.0 | 11265 | 1.7378 | 29.4567 | 29.8512 | |
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| 1.9217 | 16.0 | 12016 | 1.7239 | 29.6245 | 29.8361 | |
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| 1.9174 | 17.0 | 12767 | 1.7127 | 29.7464 | 29.8398 | |
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| 1.9021 | 18.0 | 13518 | 1.7030 | 29.9035 | 29.8621 | |
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| 1.89 | 19.0 | 14269 | 1.6934 | 29.9669 | 29.8225 | |
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| 1.878 | 20.0 | 15020 | 1.6847 | 30.0961 | 29.8398 | |
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| 1.8671 | 21.0 | 15771 | 1.6774 | 30.1878 | 29.839 | |
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| 1.8634 | 22.0 | 16522 | 1.6717 | 30.2341 | 29.8134 | |
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| 1.8536 | 23.0 | 17273 | 1.6653 | 30.3356 | 29.816 | |
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| 1.8533 | 24.0 | 18024 | 1.6602 | 30.3548 | 29.8251 | |
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| 1.8476 | 25.0 | 18775 | 1.6560 | 30.4323 | 29.8315 | |
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| 1.8362 | 26.0 | 19526 | 1.6528 | 30.4682 | 29.8277 | |
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| 1.8463 | 27.0 | 20277 | 1.6501 | 30.5002 | 29.8236 | |
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| 1.8369 | 28.0 | 21028 | 1.6484 | 30.5236 | 29.8257 | |
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| 1.8313 | 29.0 | 21779 | 1.6472 | 30.55 | 29.8259 | |
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| 1.8332 | 30.0 | 22530 | 1.6469 | 30.557 | 29.8247 | |
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### Framework versions |
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- Transformers 4.21.1 |
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- Pytorch 1.12.0 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
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