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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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- opus_books |
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metrics: |
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- bleu |
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model-index: |
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- name: my_awesome_opus_books_model |
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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: de-en |
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split: train |
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args: de-en |
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metrics: |
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- name: Bleu |
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type: bleu |
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value: 4.9544 |
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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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# my_awesome_opus_books_model |
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This model was trained from scratch on the opus_books dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.6349 |
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- Bleu: 4.9544 |
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- Gen Len: 16.4563 |
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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: 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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| 3.0491 | 1.0 | 2574 | 2.7656 | 4.2008 | 16.5119 | |
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| 2.9604 | 2.0 | 5148 | 2.6959 | 4.589 | 16.4523 | |
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| 2.9114 | 3.0 | 7722 | 2.6601 | 4.8097 | 16.461 | |
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| 2.8991 | 4.0 | 10296 | 2.6408 | 4.9246 | 16.4609 | |
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| 2.8777 | 5.0 | 12870 | 2.6349 | 4.9544 | 16.4563 | |
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### Framework versions |
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- Transformers 4.32.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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