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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: 0.9337 |
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- Bleu: 81.2301 |
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- Em: 0.1 |
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- Rm: 0.22 |
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- Gen Len: 46.9 |
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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: 8 |
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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: 10.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Em | Rm | Gen Len | |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:----:|:----:|:-------:| |
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| 8.0718 | 0.83 | 2000 | 6.9689 | 5.8841 | 0.0 | 0.0 | 126.98 | |
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| 3.6551 | 1.66 | 4000 | 3.5248 | 20.8847 | 0.0 | 0.0 | 30.46 | |
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| 2.3528 | 2.49 | 6000 | 2.1427 | 47.9723 | 0.0 | 0.02 | 44.52 | |
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| 1.5534 | 3.32 | 8000 | 1.5217 | 63.3606 | 0.0 | 0.06 | 46.32 | |
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| 1.1024 | 4.15 | 10000 | 1.2364 | 67.3193 | 0.04 | 0.14 | 42.5 | |
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| 0.9597 | 4.98 | 12000 | 0.9974 | 74.2575 | 0.04 | 0.16 | 47.52 | |
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| 0.7033 | 5.81 | 14000 | 0.9390 | 74.9164 | 0.08 | 0.2 | 45.64 | |
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| 0.5446 | 6.64 | 16000 | 0.9508 | 75.9224 | 0.06 | 0.14 | 47.34 | |
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| 0.4362 | 7.47 | 18000 | 0.8897 | 77.2209 | 0.1 | 0.22 | 44.36 | |
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| 0.3231 | 8.3 | 20000 | 0.9232 | 78.5526 | 0.16 | 0.26 | 46.66 | |
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| 0.2584 | 9.13 | 22000 | 0.9404 | 79.9787 | 0.1 | 0.2 | 47.52 | |
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| 0.2387 | 9.96 | 24000 | 0.9337 | 81.2301 | 0.1 | 0.22 | 46.9 | |
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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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