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# byt5-small-wikipron-eng-latn-uk-broad-ft-au-broad

This model is a fine-tuned version of [bookbot/byt5-small-wikipron-eng-latn-uk-broad](https://huggingface.co/bookbot/byt5-small-wikipron-eng-latn-uk-broad) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1618
- Per: 0.3076
- Gen Len: 16.2858

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| 0.4971        | 1.0   | 243  | 0.1686          | 0.3211 | 16.2676 |
| 0.1917        | 2.0   | 486  | 0.1600          | 0.3119 | 16.2638 |
| 0.1713        | 3.0   | 729  | 0.1578          | 0.3129 | 16.2714 |
| 0.1583        | 4.0   | 972  | 0.1576          | 0.3095 | 16.2768 |
| 0.1496        | 5.0   | 1215 | 0.1572          | 0.3107 | 16.2721 |
| 0.1413        | 6.0   | 1458 | 0.1592          | 0.3096 | 16.2676 |
| 0.1356        | 7.0   | 1701 | 0.1592          | 0.3094 | 16.2773 |
| 0.1301        | 8.0   | 1944 | 0.1592          | 0.3084 | 16.2771 |
| 0.1261        | 9.0   | 2187 | 0.1605          | 0.3076 | 16.2816 |
| 0.123         | 10.0  | 2430 | 0.1618          | 0.3076 | 16.2858 |


### 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-uk-broad-ft-au-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-uk-broad-ft-au-broad
=================================================


This model is a fine-tuned version of bookbot/byt5-small-wikipron-eng-latn-uk-broad on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 0.1618
* Per: 0.3076
* Gen Len: 16.2858


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