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# toki-en-mt

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ROMANCE-en](https://huggingface.co/Helsinki-NLP/opus-mt-ROMANCE-en) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2840
- Bleu: 26.7612
- Gen Len: 9.0631

## 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: 2e-05
- 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 1.7228        | 1.0   | 1260  | 1.4572          | 19.9464 | 9.2177  |
| 1.3182        | 2.0   | 2520  | 1.3356          | 22.4628 | 9.1263  |
| 1.1241        | 3.0   | 3780  | 1.3028          | 23.5152 | 9.0462  |
| 0.9995        | 4.0   | 5040  | 1.2784          | 23.9526 | 9.1697  |
| 0.8945        | 5.0   | 6300  | 1.2739          | 24.7707 | 9.0914  |
| 0.8331        | 6.0   | 7560  | 1.2725          | 25.3477 | 9.0518  |
| 0.7641        | 7.0   | 8820  | 1.2770          | 26.165  | 9.0245  |
| 0.7163        | 8.0   | 10080 | 1.2809          | 25.8053 | 9.0933  |
| 0.6886        | 9.0   | 11340 | 1.2799          | 26.5752 | 9.0669  |
| 0.6627        | 10.0  | 12600 | 1.2840          | 26.7612 | 9.0631  |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.11.0
- Datasets 2.3.2
- Tokenizers 0.12.1

{"language": ["tok", "en", "multilingual"], "license": "apache-2.0", "tags": ["generated_from_trainer", "translation"], "metrics": ["bleu"], "widget": [{"text": "toki! mi jan Ton. mi lon ma Tawan."}, {"text": "soweli li toki ala toki e toki Inli?"}], "model-index": [{"name": "toki-en-mt", "results": []}]}
transformers pytorch safetensors marian text2text-generation generated_from_trainer translation tok en multilingual license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #safetensors #marian #text2text-generation #generated_from_trainer #translation #tok #en #multilingual #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 

toki-en-mt
==========


This model is a fine-tuned version of Helsinki-NLP/opus-mt-ROMANCE-en on an unknown dataset.
It achieves the following results on the evaluation set:


* Loss: 1.2840
* Bleu: 26.7612
* Gen Len: 9.0631


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: 2e-05
* 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: 10
* mixed\_precision\_training: Native AMP


### Training results



### Framework versions


* Transformers 4.20.1
* Pytorch 1.11.0
* Datasets 2.3.2
* Tokenizers 0.12.1



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* 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: 10
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.20.1
* Pytorch 1.11.0
* Datasets 2.3.2
* Tokenizers 0.12.1
TAGS
#transformers #pytorch #safetensors #marian #text2text-generation #generated_from_trainer #translation #tok #en #multilingual #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* 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: 10
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.20.1
* Pytorch 1.11.0
* Datasets 2.3.2
* Tokenizers 0.12.1
passage: TAGS
#transformers #pytorch #safetensors #marian #text2text-generation #generated_from_trainer #translation #tok #en #multilingual #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* 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: 10
* mixed\_precision\_training: Native AMP### Training results### Framework versions


* Transformers 4.20.1
* Pytorch 1.11.0
* Datasets 2.3.2
* Tokenizers 0.12.1