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--- |
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tags: |
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- summarization |
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- generated_from_trainer |
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model-index: |
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- name: NAS-bilingue |
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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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# NAS-bilingue |
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This model was trained from scratch on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.7187 |
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- Rougelsum: 0.0922 |
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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: 1.3739167643078955e-06 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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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: 15 |
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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 | Rougelsum | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:| |
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| No log | 1.0 | 5 | 4.5936 | 0.0759 | |
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| No log | 2.0 | 10 | 4.4276 | 0.0759 | |
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| No log | 3.0 | 15 | 4.2936 | 0.0759 | |
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| No log | 4.0 | 20 | 4.1820 | 0.0759 | |
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| No log | 5.0 | 25 | 4.0896 | 0.0881 | |
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| No log | 6.0 | 30 | 4.0121 | 0.0970 | |
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| No log | 7.0 | 35 | 3.9451 | 0.0918 | |
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| No log | 8.0 | 40 | 3.8875 | 0.0922 | |
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| No log | 9.0 | 45 | 3.8395 | 0.0922 | |
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| No log | 10.0 | 50 | 3.8011 | 0.0922 | |
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| No log | 11.0 | 55 | 3.7707 | 0.0922 | |
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| No log | 12.0 | 60 | 3.7480 | 0.0922 | |
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| No log | 13.0 | 65 | 3.7320 | 0.0922 | |
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| No log | 14.0 | 70 | 3.7223 | 0.0922 | |
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| No log | 15.0 | 75 | 3.7187 | 0.0922 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.9.0 |
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- Tokenizers 0.13.2 |
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