---
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: BERT2BERT_finetuned
  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_finetuned

This model is a fine-tuned version of [JulienRPA/BERT2BERT_pretrained_LC-QuAD_2.0](https://huggingface.co/JulienRPA/BERT2BERT_pretrained_LC-QuAD_2.0) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3523
- Bleu: 95.2821
- Em: 0.1415
- Rm: 0.3046
- Gen Len: 58.7746

## 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: 32
- 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: 2000
- num_epochs: 300.0

### Training results

| Training Loss | Epoch  | Step  | Bleu    | Em     | Gen Len | Validation Loss | Rm     |
|:-------------:|:------:|:-----:|:-------:|:------:|:-------:|:---------------:|:------:|
| 4.0279        | 12.82  | 500   | 49.841  | 0.0    | 51.6403 | 2.4031          | 0.0    |
| 1.3442        | 25.64  | 1000  | 85.0177 | 0.0    | 57.9784 | 0.5014          | 0.0    |
| 0.2522        | 38.46  | 1500  | 94.0714 | 0.0168 | 57.9137 | 0.3293          | 0.0216 |
| 0.1534        | 51.28  | 2000  | 94.4328 | 0.0024 | 58.9448 | 0.3207          | 0.0072 |
| 0.1305        | 64.1   | 2500  | 94.0708 | 0.0    | 59.6115 | 0.3247          | 0.0    |
| 0.1226        | 76.92  | 3000  | 94.3143 | 0.0024 | 58.235  | 0.3325          | 0.0024 |
| 0.1131        | 89.74  | 3500  | 94.5678 | 0.0048 | 59.6811 | 0.3401          | 0.0144 |
| 0.1053        | 102.56 | 4000  | 94.4738 | 0.0168 | 59.0288 | 0.3374          | 0.0552 |
| 0.0999        | 115.38 | 4500  | 94.6291 | 0.0336 | 58.6283 | 0.3437          | 0.0624 |
| 0.0941        | 128.21 | 5000  | 94.7896 | 0.0695 | 58.4149 | 0.3512          | 0.1271 |
| 0.0904        | 141.03 | 5500  | 94.4101 | 0.0719 | 58.2518 | 0.3424          | 0.1439 |
| 0.0833        | 153.85 | 6000  | 94.7141 | 0.0887 | 59.0312 | 0.3462          | 0.1775 |
| 0.0772        | 166.67 | 6500  | 94.6758 | 0.0911 | 59.0767 | 0.3467          | 0.2062 |
| 0.0722        | 179.49 | 7000  | 94.5698 | 0.1055 | 58.1415 | 0.3462          | 0.2398 |
| 0.0669        | 192.31 | 7500  | 95.0365 | 0.1223 | 58.7794 | 0.3537          | 0.2782 |
| 0.062         | 205.13 | 8000  | 94.8694 | 0.1247 | 58.211  | 0.3505          | 0.2686 |
| 0.0576        | 217.95 | 8500  | 94.8168 | 0.1271 | 59.0791 | 0.3511          | 0.2926 |
| 0.0539        | 230.77 | 9000  | 95.1935 | 0.1367 | 58.6787 | 0.3490          | 0.3046 |
| 0.0502        | 243.59 | 9500  | 95.1882 | 0.1319 | 58.5228 | 0.3490          | 0.3141 |
| 0.0473        | 256.41 | 10000 | 95.1198 | 0.1319 | 58.4245 | 0.3504          | 0.307  |
| 0.045         | 269.23 | 10500 | 0.3505  | 95.047 | 0.1343  | 0.307           | 58.3213|
| 0.0429        | 282.05 | 11000 | 0.3522  | 95.2397| 0.1391  | 0.3046          | 58.7242|
| 0.0416        | 294.87 | 11500 | 0.3523  | 95.2821| 0.1415  | 0.3046          | 58.7746|


### Framework versions

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