---
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
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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: 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