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--- |
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metrics: |
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- rouge |
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model-index: |
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- name: gq-indo-k |
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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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# gq-indo-k |
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This model was trained from scratch on an unkown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.7905 |
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- Rouge1: 22.5734 |
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- Rouge2: 6.555 |
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- Rougel: 20.9491 |
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- Rougelsum: 20.9509 |
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- Gen Len: 12.0767 |
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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: 10 |
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- eval_batch_size: 10 |
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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: 3 |
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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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:| |
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| 2.9355 | 1.0 | 13032 | 2.8563 | 22.4828 | 6.5456 | 20.8782 | 20.8772 | 11.915 | |
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| 2.825 | 2.0 | 26064 | 2.7993 | 22.547 | 6.5815 | 20.8937 | 20.8973 | 12.0886 | |
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| 2.7631 | 3.0 | 39096 | 2.7905 | 22.5734 | 6.555 | 20.9491 | 20.9509 | 12.0767 | |
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### Framework versions |
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- Transformers 4.6.1 |
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- Pytorch 1.7.0 |
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- Datasets 1.11.0 |
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- Tokenizers 0.10.3 |
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