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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: translation_model |
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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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# translation_model |
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This model was trained from scratch on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.8172 |
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- Bleu: 1.4433 |
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- Gen Len: 18.005 |
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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: 2 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Epoch | Step | Training Loss | Validation Loss | Bleu | Gen Len | |
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|:-----:|:-----:|:-------------:|:---------------:|:------:|:-------:| |
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| 1.0 | 4674 | 2.5538 | 2.2471 | 0.7389 | 18.1428 | |
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| 2.0 | 9348 | 2.4606 | 2.1615 | 0.8787 | 18.1105 | |
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| 3.0 | 14022 | 2.3877 | 2.0981 | 0.9630 | 18.0917 | |
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| 4.0 | 18696 | 2.3433 | 2.0538 | 1.0353 | 18.0855 | |
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| 5.0 | 23370 | 2.2914 | 2.0186 | 1.0902 | 18.0692 | |
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| 6.0 | 28044 | 2.2565 | 1.9939 | 1.1566 | 18.0789 | |
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| 7.0 | 32718 | 2.2539 | 1.9756 | 1.1935 | 18.0686 | |
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| 8.0 | 37392 | 2.2262 | 1.9628 | 1.1998 | 18.0759 | |
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| 9.0 | 42066 | 2.2097 | 1.9556 | 1.2209 | 18.0706 | |
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| 10.0 | 46740 | 2.2021 | 1.9529 | 1.2244 | 18.0659 | |
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| 11.0 | 51414 | 2.1283 | 1.8698 | 1.3343 | 18.024 | |
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| 12.0 | 56088 | 2.1211 | 1.8516 | 1.3656 | 18.0194 | |
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| 13.0 | 60762 | 2.1063 | 1.8461 | 1.3828 | 18.0112 | |
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| 14.0 | 65436 | 2.0545 | 1.8267 | 1.4183 | 18.0116 | |
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| 15.0 | 70110 | 2.0645 | 1.8172 | 1.4433 | 18.005 | |
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### Framework versions |
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- Transformers 4.40.1 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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