---
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: 0.9002
- Bleu: 79.5906
- Em: 0.08
- Rm: 0.9565
- Gen Len: 48.48

## 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  | Bleu    | Em   | Gen Len | Validation Loss | Rm     |
|:-------------:|:-----:|:-----:|:-------:|:----:|:-------:|:---------------:|:------:|
| 7.2445        | 0.83  | 2000  | 1.523   | 0.0  | 204.48  | 7.5619          | nan    |
| 3.4458        | 1.66  | 4000  | 16.0372 | 0.0  | 76.36   | 3.4202          | nan    |
| 2.2571        | 2.49  | 6000  | 34.5826 | 0.0  | 48.98   | 2.1971          | 0.8125 |
| 1.5696        | 3.32  | 8000  | 53.8822 | 0.0  | 48.7    | 1.6802          | 1.0    |
| 1.1359        | 4.15  | 10000 | 64.5591 | 0.02 | 45.2    | 1.3464          | 0.973  |
| 0.9994        | 4.98  | 12000 | 68.0869 | 0.02 | 47.76   | 1.0576          | 0.8889 |
| 0.7275        | 5.81  | 14000 | 74.1032 | 0.02 | 46.52   | 0.9522          | 0.9556 |
| 0.5868        | 6.64  | 16000 | 0.9307  | 71.6124| 0.02    | 0.9556          | 47.52  |
| 0.4499        | 7.47  | 18000 | 0.8866  | 77.237| 0.06    | 0.9574          | 46.0   |
| 0.3515        | 8.3   | 20000 | 0.9070  | 77.5798| 0.08    | 0.9574          | 47.5   |
| 0.292         | 9.13  | 22000 | 0.8905  | 78.649| 0.06    | 0.9574          | 47.96  |
| 0.2658        | 9.96  | 24000 | 0.9002  | 79.5906| 0.08    | 0.9565          | 48.48  |


### Framework versions

- Transformers 4.30.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3