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# opus-mt-en-id-ccmatrix-lr-3

This model was trained from scratch on the ccmatrix dataset.
It achieves the following results on the evaluation set:
- Loss: 7.7571
- Bleu: 0.0003

## 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: 0.001
- 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   |
|:-------------:|:-----:|:------:|:---------------:|:------:|
| 4.0796        | 1.0   | 28125  | 7.8472          | 0.0047 |
| 4.6004        | 2.0   | 56250  | 8.8066          | 0.0022 |
| 4.4685        | 3.0   | 84375  | 6.4351          | 0.002  |
| 4.4315        | 4.0   | 112500 | 6.4291          | 0.0091 |
| 4.338         | 5.0   | 140625 | 6.7652          | 0.2393 |
| 4.2657        | 6.0   | 168750 | 6.7140          | 0.0087 |
| 4.2072        | 7.0   | 196875 | 6.7277          | 0.0196 |
| 5.253         | 8.0   | 225000 | 7.0848          | 0.0028 |
| 4.8823        | 9.0   | 253125 | 7.7789          | 0.0012 |
| 4.7303        | 10.0  | 281250 | 7.3183          | 0.0432 |
| 4.6488        | 11.0  | 309375 | 7.0976          | 0.0961 |
| 4.581         | 12.0  | 337500 | 7.1433          | 0.0748 |
| 4.5141        | 13.0  | 365625 | 6.9517          | 0.0225 |
| 4.4603        | 14.0  | 393750 | 7.2024          | 0.0207 |
| 4.4246        | 15.0  | 421875 | 6.8771          | 0.0646 |
| 4.3863        | 16.0  | 450000 | 6.9140          | 0.012  |
| 4.337         | 17.0  | 478125 | 6.7126          | 0.0175 |
| 4.2944        | 18.0  | 506250 | 6.9462          | 0.0125 |
| 4.2578        | 19.0  | 534375 | 6.9446          | 0.0064 |
| 4.2195        | 20.0  | 562500 | 7.5402          | 0.0004 |
| 4.1806        | 21.0  | 590625 | 7.2321          | 0.0105 |
| 4.1421        | 22.0  | 618750 | 7.5888          | 0.0094 |
| 4.1026        | 23.0  | 646875 | 7.5273          | 0.0097 |
| 4.0632        | 24.0  | 675000 | 7.6161          | 0.0002 |
| 4.0269        | 25.0  | 703125 | 7.7571          | 0.0003 |


### 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-3", "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": 0.0003, "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-3
===========================


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


* Loss: 7.7571
* Bleu: 0.0003


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: 0.001
* 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: 0.001
* 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: 0.001
* 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: 0.001
* 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