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--- |
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license: apache-2.0 |
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base_model: DevAibest/opus-mt-finetuned-en-to-fr |
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tags: |
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- generated_from_trainer |
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datasets: |
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- opus_books |
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metrics: |
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- bleu |
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model-index: |
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- name: opus-mt-finetuned-en-to-fr |
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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: opus_books |
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type: opus_books |
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config: en-fr |
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split: train |
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args: en-fr |
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metrics: |
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- name: Bleu |
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type: bleu |
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value: 69.4791 |
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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-finetuned-en-to-fr |
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This model is a fine-tuned version of [DevAibest/opus-mt-finetuned-en-to-fr](https://huggingface.co/DevAibest/opus-mt-finetuned-en-to-fr) on the opus_books dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2610 |
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- Bleu: 69.4791 |
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- Gen Len: 32.7639 |
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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: 16 |
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- eval_batch_size: 16 |
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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: 10 |
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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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| 0.4587 | 1.0 | 6355 | 0.2063 | 76.6735 | 32.6691 | |
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| 0.426 | 2.0 | 12710 | 0.2238 | 74.291 | 32.7606 | |
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| 0.3935 | 3.0 | 19065 | 0.2385 | 72.4894 | 32.8613 | |
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| 0.3723 | 4.0 | 25420 | 0.2480 | 71.2701 | 32.635 | |
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| 0.3492 | 5.0 | 31775 | 0.2532 | 70.6417 | 32.7086 | |
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| 0.3315 | 6.0 | 38130 | 0.2588 | 69.8185 | 32.7439 | |
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| 0.3057 | 7.0 | 44485 | 0.2598 | 69.7941 | 32.7479 | |
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| 0.2906 | 8.0 | 50840 | 0.2621 | 69.5144 | 32.7624 | |
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| 0.283 | 9.0 | 57195 | 0.2619 | 69.27 | 32.7373 | |
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| 0.2675 | 10.0 | 63550 | 0.2610 | 69.4791 | 32.7639 | |
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### Framework versions |
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- Transformers 4.33.0 |
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- Pytorch 2.0.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.13.3 |
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