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# opus-mt-id-en-ccmatrix-no-warmup

This model was trained from scratch on the ccmatrix dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9795
- Bleu: 56.6595

## 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
- num_epochs: 25

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Bleu    |
|:-------------:|:-----:|:------:|:---------------:|:-------:|
| 0.8307        | 1.0   | 28125  | 0.8213          | 50.8248 |
| 0.7031        | 2.0   | 56250  | 0.7851          | 52.0712 |
| 0.6426        | 3.0   | 84375  | 0.7716          | 52.6974 |
| 0.5976        | 4.0   | 112500 | 0.7645          | 53.0742 |
| 0.5599        | 5.0   | 140625 | 0.7580          | 53.6526 |
| 0.5265        | 6.0   | 168750 | 0.7610          | 53.9336 |
| 0.4962        | 7.0   | 196875 | 0.7592          | 54.3884 |
| 0.4677        | 8.0   | 225000 | 0.7611          | 54.4904 |
| 0.4404        | 9.0   | 253125 | 0.7680          | 54.6679 |
| 0.4148        | 10.0  | 281250 | 0.7760          | 54.8934 |
| 0.3901        | 11.0  | 309375 | 0.7853          | 55.1644 |
| 0.3662        | 12.0  | 337500 | 0.7945          | 55.3496 |
| 0.3432        | 13.0  | 365625 | 0.8071          | 55.4056 |
| 0.3211        | 14.0  | 393750 | 0.8149          | 55.5914 |
| 0.2995        | 15.0  | 421875 | 0.8314          | 55.8594 |
| 0.2789        | 16.0  | 450000 | 0.8504          | 55.5482 |
| 0.2591        | 17.0  | 478125 | 0.8637          | 55.8965 |
| 0.24          | 18.0  | 506250 | 0.8789          | 55.9817 |
| 0.222         | 19.0  | 534375 | 0.8956          | 56.046  |
| 0.2047        | 20.0  | 562500 | 0.9096          | 56.1539 |
| 0.1888        | 21.0  | 590625 | 0.9279          | 56.2939 |
| 0.1739        | 22.0  | 618750 | 0.9409          | 56.4546 |
| 0.1606        | 23.0  | 646875 | 0.9580          | 56.5525 |
| 0.1488        | 24.0  | 675000 | 0.9713          | 56.6069 |
| 0.1392        | 25.0  | 703125 | 0.9795          | 56.6595 |


### Framework versions

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

{"tags": ["generated_from_trainer"], "datasets": ["ccmatrix"], "metrics": ["bleu"], "model-index": [{"name": "opus-mt-id-en-ccmatrix-no-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": 56.6595, "name": "Bleu"}]}]}]}
transformers pytorch marian text2text-generation generated_from_trainer dataset:ccmatrix model-index autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #marian #text2text-generation #generated_from_trainer #dataset-ccmatrix #model-index #autotrain_compatible #endpoints_compatible #region-us 

opus-mt-id-en-ccmatrix-no-warmup
================================


This model was trained from scratch on the ccmatrix dataset.
It achieves the following results on the evaluation set:


* Loss: 0.9795
* Bleu: 56.6595


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
* 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
* 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 #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
* 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 #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
* num\_epochs: 25### Training results### Framework versions


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