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---
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: BERT2BERT_pretrained_LC-QuAD_2.0
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 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: 0.9337
- Bleu: 81.2301
- Em: 0.1
- Rm: 0.22
- Gen Len: 46.9
## 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: 8
- 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: 10.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Em | Rm | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:----:|:----:|:-------:|
| 8.0718 | 0.83 | 2000 | 6.9689 | 5.8841 | 0.0 | 0.0 | 126.98 |
| 3.6551 | 1.66 | 4000 | 3.5248 | 20.8847 | 0.0 | 0.0 | 30.46 |
| 2.3528 | 2.49 | 6000 | 2.1427 | 47.9723 | 0.0 | 0.02 | 44.52 |
| 1.5534 | 3.32 | 8000 | 1.5217 | 63.3606 | 0.0 | 0.06 | 46.32 |
| 1.1024 | 4.15 | 10000 | 1.2364 | 67.3193 | 0.04 | 0.14 | 42.5 |
| 0.9597 | 4.98 | 12000 | 0.9974 | 74.2575 | 0.04 | 0.16 | 47.52 |
| 0.7033 | 5.81 | 14000 | 0.9390 | 74.9164 | 0.08 | 0.2 | 45.64 |
| 0.5446 | 6.64 | 16000 | 0.9508 | 75.9224 | 0.06 | 0.14 | 47.34 |
| 0.4362 | 7.47 | 18000 | 0.8897 | 77.2209 | 0.1 | 0.22 | 44.36 |
| 0.3231 | 8.3 | 20000 | 0.9232 | 78.5526 | 0.16 | 0.26 | 46.66 |
| 0.2584 | 9.13 | 22000 | 0.9404 | 79.9787 | 0.1 | 0.2 | 47.52 |
| 0.2387 | 9.96 | 24000 | 0.9337 | 81.2301 | 0.1 | 0.22 | 46.9 |
### Framework versions
- Transformers 4.30.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
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