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# opus-mt-en-id-ccmatrix-lr-5

This model was trained from scratch on the ccmatrix dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6093
- Bleu: 65.4357

## 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: 1e-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
- lr_scheduler_warmup_steps: 4000
- num_epochs: 25

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Bleu    |
|:-------------:|:-----:|:------:|:---------------:|:-------:|
| 0.678         | 1.0   | 28125  | 0.6238          | 63.4798 |
| 0.5765        | 2.0   | 56250  | 0.6036          | 64.1162 |
| 0.5375        | 3.0   | 84375  | 0.5953          | 64.4048 |
| 0.5098        | 4.0   | 112500 | 0.5887          | 64.7167 |
| 0.4879        | 5.0   | 140625 | 0.5862          | 64.8577 |
| 0.4696        | 6.0   | 168750 | 0.5855          | 64.9321 |
| 0.4539        | 7.0   | 196875 | 0.5835          | 64.9806 |
| 0.4401        | 8.0   | 225000 | 0.5875          | 65.1012 |
| 0.4279        | 9.0   | 253125 | 0.5864          | 65.1125 |
| 0.4168        | 10.0  | 281250 | 0.5870          | 65.1402 |
| 0.4069        | 11.0  | 309375 | 0.5905          | 65.2012 |
| 0.3977        | 12.0  | 337500 | 0.5905          | 65.3486 |
| 0.3895        | 13.0  | 365625 | 0.5944          | 65.3406 |
| 0.3817        | 14.0  | 393750 | 0.5957          | 65.3218 |
| 0.3749        | 15.0  | 421875 | 0.5978          | 65.3269 |
| 0.3683        | 16.0  | 450000 | 0.5989          | 65.355  |
| 0.3624        | 17.0  | 478125 | 0.6009          | 65.4288 |
| 0.3573        | 18.0  | 506250 | 0.6007          | 65.4001 |
| 0.3525        | 19.0  | 534375 | 0.6035          | 65.4446 |
| 0.3484        | 20.0  | 562500 | 0.6054          | 65.3843 |
| 0.3448        | 21.0  | 590625 | 0.6060          | 65.392  |
| 0.3415        | 22.0  | 618750 | 0.6078          | 65.4052 |
| 0.3388        | 23.0  | 646875 | 0.6082          | 65.3898 |
| 0.3365        | 24.0  | 675000 | 0.6089          | 65.4171 |
| 0.3349        | 25.0  | 703125 | 0.6093          | 65.4357 |


### 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-en-id-ccmatrix-lr-5", "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": 65.4357, "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-en-id-ccmatrix-lr-5
===========================


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


* Loss: 0.6093
* Bleu: 65.4357


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: 1e-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
* 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: 1e-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
* 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 #model-index #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1e-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
* 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 #model-index #autotrain_compatible #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1e-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
* 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