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# my-final-v1-text-to-sparql-combined-dataset-t5-small-2023-05-10_07-44

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4073
- Gen Len: 19.0
- Bertscorer-p: 0.4980
- Bertscorer-r: 0.1017
- Bertscorer-f1: 0.2920
- Sacrebleu-score: 5.8855
- Sacrebleu-precisions: [77.05727215080417, 62.5240589596784, 50.651199136696, 44.790044963147636]
- Bleu-bp: 0.1024

## 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: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Gen Len | Bertscorer-p | Bertscorer-r | Bertscorer-f1 | Sacrebleu-score | Sacrebleu-precisions                                                          | Bleu-bp |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------------:|:------------:|:-------------:|:---------------:|:-----------------------------------------------------------------------------:|:-------:|
| 0.5032        | 1.0   | 7822  | 0.4629          | 19.0    | 0.4897       | 0.1066       | 0.2908        | 5.9440          | [75.58761664102093, 59.98349638586719, 47.124791651568955, 40.69508501229539] | 0.1095  |
| 0.4506        | 2.0   | 15644 | 0.4219          | 19.0    | 0.4843       | 0.1024       | 0.2861        | 5.5345          | [76.04556633170597, 61.69371447400939, 49.49361223273979, 43.50113197496338]  | 0.0982  |
| 0.4333        | 3.0   | 23466 | 0.4073          | 19.0    | 0.4980       | 0.1017       | 0.2920        | 5.8855          | [77.05727215080417, 62.5240589596784, 50.651199136696, 44.790044963147636]    | 0.1024  |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "my-final-v1-text-to-sparql-combined-dataset-t5-small-2023-05-10_07-44", "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 

my-final-v1-text-to-sparql-combined-dataset-t5-small-2023-05-10\_07-44
======================================================================


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


* Loss: 0.4073
* Gen Len: 19.0
* Bertscorer-p: 0.4980
* Bertscorer-r: 0.1017
* Bertscorer-f1: 0.2920
* Sacrebleu-score: 5.8855
* Sacrebleu-precisions: [77.05727215080417, 62.5240589596784, 50.651199136696, 44.790044963147636]
* Bleu-bp: 0.1024


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: 3


### Training results



### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+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: 3 ### Training results ### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+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: 3 ### Training results ### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3