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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

{"tags": ["generated_from_trainer"], "metrics": ["bleu"], "model-index": [{"name": "BERT2BERT_pretrained_LC-QuAD_2.0", "results": []}]}
transformers pytorch tensorboard encoder-decoder text2text-generation generated_from_trainer autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 

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



### Framework versions


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



### 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 ### Framework versions


* Transformers 4.30.0.dev0
* Pytorch 2.0.1+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 
 ### 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 ### Framework versions


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