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# marian-finetuned-tgl-eng-netspeak-trial6

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-tl-en](https://huggingface.co/Helsinki-NLP/opus-mt-tl-en) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3343
- Bleu: 28.3769

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 150
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 4.5424        | 1.0   | 57   | 3.8496          | 5.8759  |
| 3.6414        | 2.0   | 114  | 3.5073          | 9.0838  |
| 3.1777        | 3.0   | 171  | 3.2660          | 10.0099 |
| 2.7865        | 4.0   | 228  | 3.0646          | 12.0484 |
| 2.4638        | 5.0   | 285  | 2.9109          | 14.0737 |
| 2.1815        | 6.0   | 342  | 2.7853          | 16.3752 |
| 1.9426        | 7.0   | 399  | 2.6832          | 17.7971 |
| 1.725         | 8.0   | 456  | 2.6060          | 19.5480 |
| 1.5336        | 9.0   | 513  | 2.5433          | 20.8335 |
| 1.3571        | 10.0  | 570  | 2.4888          | 21.9160 |
| 1.2081        | 11.0  | 627  | 2.4424          | 21.7108 |
| 1.0733        | 12.0  | 684  | 2.4045          | 23.9640 |
| 0.9516        | 13.0  | 741  | 2.3940          | 24.4162 |
| 0.8487        | 14.0  | 798  | 2.3840          | 27.1127 |
| 0.7513        | 15.0  | 855  | 2.3563          | 27.3229 |
| 0.662         | 16.0  | 912  | 2.3501          | 25.8083 |
| 0.5835        | 17.0  | 969  | 2.3506          | 27.0424 |
| 0.5247        | 18.0  | 1026 | 2.3355          | 27.9392 |
| 0.4648        | 19.0  | 1083 | 2.3379          | 27.1880 |
| 0.4047        | 20.0  | 1140 | 2.3343          | 28.3769 |
| 0.3574        | 21.0  | 1197 | 2.3431          | 27.9125 |
| 0.3183        | 22.0  | 1254 | 2.3407          | 29.3798 |
| 0.2828        | 23.0  | 1311 | 2.3408          | 30.5316 |
| 0.2528        | 24.0  | 1368 | 2.3368          | 29.9854 |
| 0.2306        | 25.0  | 1425 | 2.3603          | 30.4071 |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["translation", "generated_from_trainer"], "metrics": ["bleu"], "model-index": [{"name": "marian-finetuned-tgl-eng-netspeak-trial6", "results": []}]}
transformers pytorch tensorboard marian text2text-generation translation generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #marian #text2text-generation #translation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 

marian-finetuned-tgl-eng-netspeak-trial6
========================================


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


* Loss: 2.3343
* Bleu: 28.3769


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: 32
* eval\_batch\_size: 32
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 150
* mixed\_precision\_training: Native AMP


### Training results



### Framework versions


* Transformers 4.25.1
* Pytorch 1.13.0+cu116
* Datasets 2.8.0
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 32
* eval\_batch\_size: 32
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 150
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.25.1
* Pytorch 1.13.0+cu116
* Datasets 2.8.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #marian #text2text-generation #translation #generated_from_trainer #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: 32
* eval\_batch\_size: 32
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 150
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.25.1
* Pytorch 1.13.0+cu116
* Datasets 2.8.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #marian #text2text-generation #translation #generated_from_trainer #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: 32
* eval\_batch\_size: 32
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 150
* mixed\_precision\_training: Native AMP### Training results### Framework versions


* Transformers 4.25.1
* Pytorch 1.13.0+cu116
* Datasets 2.8.0
* Tokenizers 0.13.2