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# id-to-word-text-to-sparql-combined-dataset-t5-base-2023-06-05_10-17

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0967
- Gen Len: 19.0
- Bertscorer-p: 0.5394
- Bertscorer-r: 0.0838
- Bertscorer-f1: 0.3018
- Sacrebleu-score: 6.1241
- Sacrebleu-precisions: [85.81458995625881, 77.51652857152274, 70.6216101009804, 65.87751712684243]
- Bleu-bp: 0.0821

## 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: 0.0003
- 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
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Gen Len | Bertscorer-p | Bertscorer-r | Bertscorer-f1 | Sacrebleu-score | Sacrebleu-precisions                                                        | Bleu-bp |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------------:|:------------:|:-------------:|:---------------:|:---------------------------------------------------------------------------:|:-------:|
| 0.1551        | 1.0   | 7822  | 0.1181          | 19.0    | 0.5184       | 0.0626       | 0.2806        | 5.3591          | [84.89762821812285, 75.22766194579607, 67.4283498216825, 62.37205047209708] | 0.0744  |
| 0.1049        | 2.0   | 15644 | 0.0967          | 19.0    | 0.5394       | 0.0838       | 0.3018        | 6.1241          | [85.81458995625881, 77.51652857152274, 70.6216101009804, 65.87751712684243] | 0.0821  |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "id-to-word-text-to-sparql-combined-dataset-t5-base-2023-06-05_10-17", "results": []}]}
transformers pytorch tensorboard t5 text2text-generation generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

id-to-word-text-to-sparql-combined-dataset-t5-base-2023-06-05\_10-17
====================================================================


This model is a fine-tuned version of t5-base on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 0.0967
* Gen Len: 19.0
* Bertscorer-p: 0.5394
* Bertscorer-r: 0.0838
* Bertscorer-f1: 0.3018
* Sacrebleu-score: 6.1241
* Sacrebleu-precisions: [85.81458995625881, 77.51652857152274, 70.6216101009804, 65.87751712684243]
* Bleu-bp: 0.0821


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: 0.0003
* 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
* num\_epochs: 2


### Training results



### Framework versions


* Transformers 4.29.2
* Pytorch 2.0.1+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0003
* 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
* num\_epochs: 2 ### Training results ### Framework versions


* Transformers 4.29.2
* Pytorch 2.0.1+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0003
* 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
* num\_epochs: 2 ### Training results ### Framework versions


* Transformers 4.29.2
* Pytorch 2.0.1+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3