
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# opus-mt-en-id-ccmatrix-lr-4

This model was trained from scratch on the ccmatrix dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9115
- Bleu: 65.4544

## 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    |
|:-------------:|:-----:|:------:|:---------------:|:-------:|
| 0.7279        | 1.0   | 28125  | 0.7185          | 61.1164 |
| 0.6185        | 2.0   | 56250  | 0.6849          | 62.0536 |
| 0.5598        | 3.0   | 84375  | 0.6759          | 62.3915 |
| 0.5163        | 4.0   | 112500 | 0.6646          | 62.9303 |
| 0.4795        | 5.0   | 140625 | 0.6665          | 63.3461 |
| 0.4471        | 6.0   | 168750 | 0.6692          | 63.5319 |
| 0.4173        | 7.0   | 196875 | 0.6690          | 63.7436 |
| 0.3897        | 8.0   | 225000 | 0.6739          | 63.8343 |
| 0.3633        | 9.0   | 253125 | 0.6832          | 63.867  |
| 0.3382        | 10.0  | 281250 | 0.6928          | 64.0481 |
| 0.314         | 11.0  | 309375 | 0.7015          | 64.0177 |
| 0.2909        | 12.0  | 337500 | 0.7151          | 64.3563 |
| 0.2687        | 13.0  | 365625 | 0.7265          | 64.2445 |
| 0.2474        | 14.0  | 393750 | 0.7384          | 64.5093 |
| 0.227         | 15.0  | 421875 | 0.7560          | 64.3729 |
| 0.2072        | 16.0  | 450000 | 0.7712          | 64.6396 |
| 0.1888        | 17.0  | 478125 | 0.7876          | 64.805  |
| 0.1713        | 18.0  | 506250 | 0.8052          | 64.7883 |
| 0.1546        | 19.0  | 534375 | 0.8258          | 64.9535 |
| 0.1394        | 20.0  | 562500 | 0.8421          | 64.9885 |
| 0.1251        | 21.0  | 590625 | 0.8593          | 65.1229 |
| 0.112         | 22.0  | 618750 | 0.8757          | 65.2565 |
| 0.1006        | 23.0  | 646875 | 0.8923          | 65.288  |
| 0.0907        | 24.0  | 675000 | 0.9033          | 65.3973 |
| 0.0828        | 25.0  | 703125 | 0.9115          | 65.4544 |


### 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-4", "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": 65.4544, "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-4
===========================


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


* Loss: 0.9115
* Bleu: 65.4544


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 #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 #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