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# marian-finetuned-tgl-eng-netspeak-trial9

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: 2.3568
- Bleu: 29.1370

## 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: 200
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 5.6316        | 1.0   | 57   | 4.1183          | 4.6005  |
| 4.8654        | 2.0   | 114  | 3.8581          | 5.9435  |
| 4.5642        | 3.0   | 171  | 3.6865          | 6.6312  |
| 4.3364        | 4.0   | 228  | 3.5646          | 7.3157  |
| 4.1474        | 5.0   | 285  | 3.4686          | 8.6700  |
| 4.0044        | 6.0   | 342  | 3.3852          | 8.6733  |
| 3.8862        | 7.0   | 399  | 3.3257          | 8.3894  |
| 3.7676        | 8.0   | 456  | 3.2528          | 9.2599  |
| 3.6633        | 9.0   | 513  | 3.2005          | 9.7922  |
| 3.5594        | 10.0  | 570  | 3.1615          | 10.9836 |
| 3.4683        | 11.0  | 627  | 3.1055          | 11.0111 |
| 3.3897        | 12.0  | 684  | 3.0527          | 11.0658 |
| 3.3165        | 13.0  | 741  | 3.0106          | 11.3570 |
| 3.2338        | 14.0  | 798  | 2.9819          | 12.4296 |
| 3.1626        | 15.0  | 855  | 2.9395          | 13.0279 |
| 3.1127        | 16.0  | 912  | 2.9088          | 13.2959 |
| 3.0224        | 17.0  | 969  | 2.8760          | 13.9185 |
| 2.9523        | 18.0  | 1026 | 2.8420          | 14.7849 |
| 2.9036        | 19.0  | 1083 | 2.8059          | 15.3255 |
| 2.8449        | 20.0  | 1140 | 2.7830          | 15.8899 |
| 2.7851        | 21.0  | 1197 | 2.7654          | 15.3016 |
| 2.7182        | 22.0  | 1254 | 2.7422          | 15.9169 |
| 2.683         | 23.0  | 1311 | 2.7171          | 15.4695 |
| 2.6016        | 24.0  | 1368 | 2.6860          | 17.2504 |
| 2.5688        | 25.0  | 1425 | 2.6800          | 17.4693 |
| 2.511         | 26.0  | 1482 | 2.6523          | 17.8363 |
| 2.4627        | 27.0  | 1539 | 2.6247          | 18.6818 |
| 2.4259        | 28.0  | 1596 | 2.6038          | 19.2026 |
| 2.3814        | 29.0  | 1653 | 2.5946          | 18.9046 |
| 2.3368        | 30.0  | 1710 | 2.5720          | 19.6498 |
| 2.2639        | 31.0  | 1767 | 2.5564          | 18.7972 |
| 2.2366        | 32.0  | 1824 | 2.5432          | 20.1555 |
| 2.1884        | 33.0  | 1881 | 2.5369          | 19.9048 |
| 2.143         | 34.0  | 1938 | 2.5215          | 19.3706 |
| 2.122         | 35.0  | 1995 | 2.5102          | 20.2954 |
| 2.0819        | 36.0  | 2052 | 2.4966          | 20.5785 |
| 2.0333        | 37.0  | 2109 | 2.4939          | 20.8078 |
| 1.9972        | 38.0  | 2166 | 2.4852          | 21.6624 |
| 1.9596        | 39.0  | 2223 | 2.4724          | 21.3380 |
| 1.9386        | 40.0  | 2280 | 2.4550          | 21.7399 |
| 1.8881        | 41.0  | 2337 | 2.4539          | 21.8201 |
| 1.8488        | 42.0  | 2394 | 2.4494          | 22.8561 |
| 1.8344        | 43.0  | 2451 | 2.4436          | 22.0001 |
| 1.8005        | 44.0  | 2508 | 2.4353          | 21.5060 |
| 1.7703        | 45.0  | 2565 | 2.4314          | 22.6523 |
| 1.7321        | 46.0  | 2622 | 2.4258          | 22.9500 |
| 1.6897        | 47.0  | 2679 | 2.4202          | 23.0767 |
| 1.6822        | 48.0  | 2736 | 2.4115          | 23.3565 |
| 1.6392        | 49.0  | 2793 | 2.4056          | 24.4669 |
| 1.621         | 50.0  | 2850 | 2.4071          | 25.7900 |
| 1.6075        | 51.0  | 2907 | 2.3930          | 25.8570 |
| 1.5558        | 52.0  | 2964 | 2.3835          | 26.0207 |
| 1.5335        | 53.0  | 3021 | 2.3848          | 24.5089 |
| 1.5091        | 54.0  | 3078 | 2.3870          | 26.7579 |
| 1.4904        | 55.0  | 3135 | 2.3791          | 26.2250 |
| 1.4645        | 56.0  | 3192 | 2.3760          | 26.1819 |
| 1.4628        | 57.0  | 3249 | 2.3811          | 25.9747 |
| 1.4297        | 58.0  | 3306 | 2.3659          | 26.4407 |
| 1.4011        | 59.0  | 3363 | 2.3650          | 27.1145 |
| 1.3649        | 60.0  | 3420 | 2.3597          | 27.6616 |
| 1.3419        | 61.0  | 3477 | 2.3601          | 28.6248 |
| 1.3278        | 62.0  | 3534 | 2.3670          | 27.2075 |
| 1.3106        | 63.0  | 3591 | 2.3588          | 27.3917 |
| 1.2855        | 64.0  | 3648 | 2.3508          | 27.8277 |
| 1.2732        | 65.0  | 3705 | 2.3622          | 28.3032 |
| 1.259         | 66.0  | 3762 | 2.3603          | 28.0315 |
| 1.2397        | 67.0  | 3819 | 2.3551          | 27.9452 |
| 1.2285        | 68.0  | 3876 | 2.3597          | 28.5887 |
| 1.1898        | 69.0  | 3933 | 2.3599          | 28.5675 |
| 1.181         | 70.0  | 3990 | 2.3642          | 29.7412 |
| 1.1748        | 71.0  | 4047 | 2.3577          | 29.2003 |
| 1.146         | 72.0  | 4104 | 2.3609          | 28.3760 |
| 1.1274        | 73.0  | 4161 | 2.3519          | 29.2015 |
| 1.1138        | 74.0  | 4218 | 2.3568          | 29.1370 |


### 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-trial9", "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-trial9
========================================


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: 2.3568
* Bleu: 29.1370


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: 200
* 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: 200
* 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: 200
* 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: 200
* 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