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BERT2BERT_pretrained_LC-QuAD_2.0

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update model card README.md

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@@ -15,11 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
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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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@@ -39,30 +38,23 @@ More information needed
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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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  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: 1.0571
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+ - Bleu: 75.7356
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+ - Em: 0.0432
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+ - Gen Len: 47.2896
 
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  ## Model description
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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 | Bleu | Em | Gen Len | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:-------:|:------:|:--------:|:---------------:|
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+ | 6.6044 | 1.4 | 2000 | 3.8045 | 0.0 | 158.8473 | 6.1713 |
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+ | 3.032 | 2.8 | 4000 | 27.701 | 0.0 | 33.9568 | 2.9045 |
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+ | 1.5893 | 4.19 | 6000 | 57.7509 | 0.0033 | 44.132 | 1.7327 |
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+ | 1.0512 | 5.59 | 8000 | 71.1272 | 0.0241 | 46.0672 | 1.2382 |
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+ | 0.7515 | 6.99 | 10000 | 1.0571 | 75.7356| 0.0432 | 47.2896 |
 
 
 
 
 
 
 
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  ### Framework versions