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# byt5-small-wikipron-eng-latn-us-broad

This model is a fine-tuned version of [google/byt5-small](https://huggingface.co/google/byt5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1668
- Per: 0.2588
- Gen Len: 15.7318

## 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: 0.0002
- train_batch_size: 128
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Per    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| 1.9462        | 1.0   | 382  | 0.2963          | 0.3495 | 15.453  |
| 0.2979        | 2.0   | 764  | 0.2144          | 0.2941 | 15.6759 |
| 0.2319        | 3.0   | 1146 | 0.1898          | 0.2765 | 15.7219 |
| 0.2042        | 4.0   | 1528 | 0.1799          | 0.2719 | 15.7235 |
| 0.1879        | 5.0   | 1910 | 0.1744          | 0.2657 | 15.7054 |
| 0.1763        | 6.0   | 2292 | 0.1729          | 0.2645 | 15.7406 |
| 0.1677        | 7.0   | 2674 | 0.1693          | 0.2619 | 15.7269 |
| 0.1613        | 8.0   | 3056 | 0.1668          | 0.2604 | 15.7371 |
| 0.1559        | 9.0   | 3438 | 0.1667          | 0.2585 | 15.7383 |
| 0.1534        | 10.0  | 3820 | 0.1668          | 0.2588 | 15.7318 |


### Framework versions

- Transformers 4.28.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.9.0
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "byt5-small-wikipron-eng-latn-us-broad", "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 

byt5-small-wikipron-eng-latn-us-broad
=====================================


This model is a fine-tuned version of google/byt5-small on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 0.1668
* Per: 0.2588
* Gen Len: 15.7318


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: 0.0002
* train\_batch\_size: 128
* eval\_batch\_size: 32
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_ratio: 0.1
* num\_epochs: 10.0


### Training results



### Framework versions


* Transformers 4.28.0.dev0
* Pytorch 1.13.1+cu117
* Datasets 2.9.0
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0002
* train\_batch\_size: 128
* eval\_batch\_size: 32
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_ratio: 0.1
* num\_epochs: 10.0 ### Training results ### Framework versions


* Transformers 4.28.0.dev0
* Pytorch 1.13.1+cu117
* Datasets 2.9.0
* Tokenizers 0.13.2
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: 0.0002
* train\_batch\_size: 128
* eval\_batch\_size: 32
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_ratio: 0.1
* num\_epochs: 10.0 ### Training results ### Framework versions


* Transformers 4.28.0.dev0
* Pytorch 1.13.1+cu117
* Datasets 2.9.0
* Tokenizers 0.13.2
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: 0.0002
* train\_batch\_size: 128
* eval\_batch\_size: 32
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_ratio: 0.1
* num\_epochs: 10.0### Training results### Framework versions


* Transformers 4.28.0.dev0
* Pytorch 1.13.1+cu117
* Datasets 2.9.0
* Tokenizers 0.13.2