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# tokipona_model_v0.2

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9720
- Bleu: 11.6933
- Gen Len: 17.4433

## 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: 0.002
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| No log        | 1.0   | 55   | 1.6640          | 0.2502  | 19.0    |
| No log        | 2.0   | 110  | 1.4393          | 3.6014  | 18.7685 |
| No log        | 3.0   | 165  | 1.3801          | 5.7834  | 17.7094 |
| No log        | 4.0   | 220  | 1.3014          | 6.6761  | 17.6798 |
| No log        | 5.0   | 275  | 1.3146          | 8.1891  | 17.3842 |
| No log        | 6.0   | 330  | 1.3197          | 7.9501  | 17.3399 |
| No log        | 7.0   | 385  | 1.3580          | 9.1859  | 17.5911 |
| No log        | 8.0   | 440  | 1.4023          | 10.4901 | 17.1823 |
| No log        | 9.0   | 495  | 1.4861          | 8.9722  | 17.4926 |
| 1.1           | 10.0  | 550  | 1.5296          | 10.0466 | 17.133  |
| 1.1           | 11.0  | 605  | 1.6126          | 9.7385  | 17.2217 |
| 1.1           | 12.0  | 660  | 1.7080          | 8.9794  | 17.3251 |
| 1.1           | 13.0  | 715  | 1.7778          | 10.5309 | 17.2759 |
| 1.1           | 14.0  | 770  | 1.8131          | 10.3548 | 17.202  |
| 1.1           | 15.0  | 825  | 1.8414          | 10.3668 | 17.468  |
| 1.1           | 16.0  | 880  | 1.8990          | 10.3459 | 17.4138 |
| 1.1           | 17.0  | 935  | 1.9324          | 11.7481 | 17.3448 |
| 1.1           | 18.0  | 990  | 1.9524          | 11.5339 | 17.2808 |
| 0.2722        | 19.0  | 1045 | 1.9732          | 11.1812 | 17.2365 |
| 0.2722        | 20.0  | 1100 | 1.9720          | 11.6933 | 17.4433 |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "model-index": [{"name": "tokipona_model_v0.2", "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 

tokipona\_model\_v0.2
=====================


This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:


* Loss: 1.9720
* Bleu: 11.6933
* Gen Len: 17.4433


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: 0.002
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 20
* mixed\_precision\_training: Native AMP


### Training results



### Framework versions


* Transformers 4.28.0
* Pytorch 2.0.0+cu118
* Datasets 2.11.0
* Tokenizers 0.13.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.002
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 20
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.28.0
* Pytorch 2.0.0+cu118
* Datasets 2.11.0
* 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: 0.002
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 20
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.28.0
* Pytorch 2.0.0+cu118
* Datasets 2.11.0
* 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: 0.002
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 20
* mixed\_precision\_training: Native AMP### Training results### Framework versions


* Transformers 4.28.0
* Pytorch 2.0.0+cu118
* Datasets 2.11.0
* Tokenizers 0.13.3