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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: morbius |
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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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# morbius |
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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: 2.3311 |
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- Bleu: 0.0490 |
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- Precisions: [0.12658339197748064, 0.058000714881448825, 0.031020853918560506, 0.0276665140764477] |
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- Brevity Penalty: 0.9781 |
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- Length Ratio: 0.9783 |
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- Translation Length: 45472 |
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- Reference Length: 46479 |
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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: 5e-05 |
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- train_batch_size: 12 |
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- eval_batch_size: 12 |
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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 | Precisions | Brevity Penalty | Length Ratio | Translation Length | Reference Length | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:--------------------------------------------------------------------------------------:|:---------------:|:------------:|:------------------:|:----------------:| |
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| 2.6085 | 1.0 | 2630 | 2.3793 | 0.0398 | [0.11484440108136675, 0.05086452177719413, 0.022402389588222743, 0.019262093750807972] | 1.0 | 1.0585 | 49197 | 46479 | |
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| 2.5537 | 2.0 | 5260 | 2.3538 | 0.0451 | [0.12435074854873206, 0.053338059789672695, 0.02736549165120594, 0.024163621427155037] | 0.9858 | 0.9859 | 45822 | 46479 | |
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| 2.427 | 3.0 | 7890 | 2.3412 | 0.0478 | [0.12566410537870473, 0.05610922151130985, 0.029971974257836827, 0.026891236083357122] | 0.9798 | 0.9800 | 45550 | 46479 | |
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| 2.3716 | 4.0 | 10520 | 2.3347 | 0.0487 | [0.12663965838169275, 0.0574505431946487, 0.030477866031926728, 0.027230821761893922] | 0.9823 | 0.9825 | 45665 | 46479 | |
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| 2.3494 | 5.0 | 13150 | 2.3311 | 0.0490 | [0.12658339197748064, 0.058000714881448825, 0.031020853918560506, 0.0276665140764477] | 0.9781 | 0.9783 | 45472 | 46479 | |
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### Framework versions |
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- Transformers 4.34.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.0 |
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