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BERT2BERT_pretrained_LC-QuAD_2.0
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0810
- Bleu: 74.7723
- Em: 0.0349
- Gen Len: 46.1685
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2500
- num_epochs: 8.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Em | Gen Len |
|---|---|---|---|---|---|---|
| 6.9199 | 1.4 | 2000 | 6.3751 | 3.4801 | 0.0 | 220.966 |
| 3.0222 | 2.8 | 4000 | 2.8796 | 27.8543 | 0.0 | 36.8 |
| 1.5982 | 4.19 | 6000 | 1.7495 | 56.0747 | 0.0017 | 43.9021 |
| 1.0717 | 5.59 | 8000 | 1.2625 | 69.9606 | 0.0199 | 46.0722 |
| 0.7765 | 6.99 | 10000 | 1.0810 | 74.7723 | 0.0349 | 46.1685 |
Framework versions
- Transformers 4.30.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
