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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: BERT2BERT_pretrained_LC-QuAD_2.0 |
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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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# BERT2BERT_pretrained_LC-QuAD_2.0 |
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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: 1.0810 |
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- Bleu: 74.7723 |
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- Em: 0.0349 |
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- Gen Len: 46.1685 |
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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: 16 |
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- eval_batch_size: 8 |
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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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- lr_scheduler_warmup_steps: 2500 |
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- num_epochs: 8.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Em | Gen Len | |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:| |
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| 6.9199 | 1.4 | 2000 | 6.3751 | 3.4801 | 0.0 | 220.966 | |
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| 3.0222 | 2.8 | 4000 | 2.8796 | 27.8543 | 0.0 | 36.8 | |
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| 1.5982 | 4.19 | 6000 | 1.7495 | 56.0747 | 0.0017 | 43.9021 | |
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| 1.0717 | 5.59 | 8000 | 1.2625 | 69.9606 | 0.0199 | 46.0722 | |
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| 0.7765 | 6.99 | 10000 | 1.0810 | 74.7723 | 0.0349 | 46.1685 | |
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### Framework versions |
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- Transformers 4.30.0.dev0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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