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# opus-mt-id-en-ccmatrix-warmup

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-id-en](https://huggingface.co/Helsinki-NLP/opus-mt-id-en) on the ccmatrix dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9770
- Bleu: 56.6698

## 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: 0.0001
- 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
- lr_scheduler_warmup_steps: 4000
- num_epochs: 25

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Bleu    |
|:-------------:|:-----:|:------:|:---------------:|:-------:|
| 0.8166        | 1.0   | 28125  | 0.8166          | 50.952  |
| 0.705         | 2.0   | 56250  | 0.7827          | 52.0343 |
| 0.6442        | 3.0   | 84375  | 0.7708          | 52.6943 |
| 0.5991        | 4.0   | 112500 | 0.7636          | 52.9969 |
| 0.5613        | 5.0   | 140625 | 0.7580          | 53.5542 |
| 0.528         | 6.0   | 168750 | 0.7584          | 53.9303 |
| 0.4976        | 7.0   | 196875 | 0.7577          | 54.3562 |
| 0.469         | 8.0   | 225000 | 0.7588          | 54.599  |
| 0.4418        | 9.0   | 253125 | 0.7652          | 54.6941 |
| 0.4161        | 10.0  | 281250 | 0.7736          | 54.8075 |
| 0.3912        | 11.0  | 309375 | 0.7826          | 55.2852 |
| 0.3675        | 12.0  | 337500 | 0.7928          | 55.4362 |
| 0.3441        | 13.0  | 365625 | 0.8066          | 55.1959 |
| 0.3221        | 14.0  | 393750 | 0.8139          | 55.6136 |
| 0.3003        | 15.0  | 421875 | 0.8313          | 55.7404 |
| 0.2795        | 16.0  | 450000 | 0.8460          | 55.743  |
| 0.2596        | 17.0  | 478125 | 0.8559          | 56.0679 |
| 0.2404        | 18.0  | 506250 | 0.8757          | 55.8564 |
| 0.2223        | 19.0  | 534375 | 0.8887          | 56.2032 |
| 0.205         | 20.0  | 562500 | 0.9071          | 56.2576 |
| 0.1889        | 21.0  | 590625 | 0.9244          | 56.2583 |
| 0.174         | 22.0  | 618750 | 0.9420          | 56.4147 |
| 0.1606        | 23.0  | 646875 | 0.9577          | 56.4719 |
| 0.1488        | 24.0  | 675000 | 0.9692          | 56.5931 |
| 0.1391        | 25.0  | 703125 | 0.9770          | 56.6698 |


### Framework versions

- Transformers 4.26.1
- Pytorch 2.0.0
- Datasets 2.10.1
- Tokenizers 0.11.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["ccmatrix"], "metrics": ["bleu"], "model-index": [{"name": "opus-mt-id-en-ccmatrix-warmup", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name": "ccmatrix", "type": "ccmatrix", "config": "en-id", "split": "train", "args": "en-id"}, "metrics": [{"type": "bleu", "value": 56.6698, "name": "Bleu"}]}]}]}
transformers pytorch marian text2text-generation generated_from_trainer dataset:ccmatrix license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #marian #text2text-generation #generated_from_trainer #dataset-ccmatrix #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us 

opus-mt-id-en-ccmatrix-warmup
=============================


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


* Loss: 0.9770
* Bleu: 56.6698


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: 0.0001
* 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
* lr\_scheduler\_warmup\_steps: 4000
* num\_epochs: 25


### Training results



### Framework versions


* Transformers 4.26.1
* Pytorch 2.0.0
* Datasets 2.10.1
* Tokenizers 0.11.0



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0001
* 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
* lr\_scheduler\_warmup\_steps: 4000
* num\_epochs: 25 ### Training results ### Framework versions


* Transformers 4.26.1
* Pytorch 2.0.0
* Datasets 2.10.1
* Tokenizers 0.11.0
TAGS
#transformers #pytorch #marian #text2text-generation #generated_from_trainer #dataset-ccmatrix #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0001
* 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
* lr\_scheduler\_warmup\_steps: 4000
* num\_epochs: 25 ### Training results ### Framework versions


* Transformers 4.26.1
* Pytorch 2.0.0
* Datasets 2.10.1
* Tokenizers 0.11.0
TAGS
#transformers #pytorch #marian #text2text-generation #generated_from_trainer #dataset-ccmatrix #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0001
* 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
* lr\_scheduler\_warmup\_steps: 4000
* num\_epochs: 25### Training results### Framework versions


* Transformers 4.26.1
* Pytorch 2.0.0
* Datasets 2.10.1
* Tokenizers 0.11.0