
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# byt5-small-wikipron-eng-latn-multi-broad-p2g

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: 0.1238
- Per: 0.2052
- Gen Len: 8.4891

## 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: 20.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Per    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 2.0082        | 1.0   | 1177  | 0.4061          | 0.6392 | 8.2917  |
| 0.4295        | 2.0   | 2354  | 0.2953          | 0.5242 | 8.3425  |
| 0.3179        | 3.0   | 3531  | 0.2338          | 0.4552 | 8.4024  |
| 0.255         | 4.0   | 4708  | 0.2011          | 0.4038 | 8.4287  |
| 0.2131        | 5.0   | 5885  | 0.1753          | 0.3669 | 8.4356  |
| 0.1813        | 6.0   | 7062  | 0.1567          | 0.3341 | 8.4336  |
| 0.157         | 7.0   | 8239  | 0.1459          | 0.3098 | 8.4546  |
| 0.1368        | 8.0   | 9416  | 0.1349          | 0.2859 | 8.4531  |
| 0.1202        | 9.0   | 10593 | 0.1302          | 0.2663 | 8.4621  |
| 0.1067        | 10.0  | 11770 | 0.1240          | 0.2514 | 8.4701  |
| 0.0946        | 11.0  | 12947 | 0.1203          | 0.2415 | 8.4734  |
| 0.0857        | 12.0  | 14124 | 0.1180          | 0.2347 | 8.4782  |
| 0.0779        | 13.0  | 15301 | 0.1187          | 0.226  | 8.4827  |
| 0.0709        | 14.0  | 16478 | 0.1180          | 0.2211 | 8.4781  |
| 0.0646        | 15.0  | 17655 | 0.1176          | 0.2147 | 8.4856  |
| 0.0602        | 16.0  | 18832 | 0.1178          | 0.2129 | 8.4858  |
| 0.0563        | 17.0  | 20009 | 0.1200          | 0.2113 | 8.4844  |
| 0.0532        | 18.0  | 21186 | 0.1218          | 0.2069 | 8.4907  |
| 0.0501        | 19.0  | 22363 | 0.1228          | 0.2057 | 8.4891  |
| 0.0486        | 20.0  | 23540 | 0.1238          | 0.2052 | 8.4891  |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu117
- Datasets 2.11.1.dev0
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "byt5-small-wikipron-eng-latn-multi-broad-p2g", "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-multi-broad-p2g
============================================


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: 0.1238
* Per: 0.2052
* Gen Len: 8.4891


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: 20.0


### Training results



### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu117
* Datasets 2.11.1.dev0
* 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: 20.0 ### Training results ### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu117
* Datasets 2.11.1.dev0
* 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: 20.0 ### Training results ### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu117
* Datasets 2.11.1.dev0
* 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: 20.0### Training results### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu117
* Datasets 2.11.1.dev0
* Tokenizers 0.13.2