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# mpham8/opus-mt-en-ROMANCE-finetuned-bam-to-fr-finetuned-bam-to-fr

This model is a fine-tuned version of [mpham8/opus-mt-en-ROMANCE-finetuned-bam-to-fr](https://huggingface.co/mpham8/opus-mt-en-ROMANCE-finetuned-bam-to-fr) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.6934
- Validation Loss: 0.2646
- Train Bleu: 70.9478
- Train Gen Len: 33.9867
- Epoch: 42

## 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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Train Bleu | Train Gen Len | Epoch |
|:----------:|:---------------:|:----------:|:-------------:|:-----:|
| 2.4912     | 2.1490          | 6.4538     | 63.9433       | 0     |
| 2.2855     | 1.9357          | 8.9654     | 60.2427       | 1     |
| 2.1392     | 1.7827          | 9.9592     | 67.304        | 2     |
| 2.0250     | 1.6539          | 12.8260    | 72.8733       | 3     |
| 1.9288     | 1.5578          | 15.3897    | 60.79         | 4     |
| 1.8478     | 1.4682          | 14.8011    | 75.0593       | 5     |
| 1.7759     | 1.3935          | 16.6727    | 68.5527       | 6     |
| 1.7119     | 1.3223          | 19.7720    | 64.2227       | 7     |
| 1.6536     | 1.2601          | 20.9468    | 68.9367       | 8     |
| 1.5997     | 1.2059          | 20.5827    | 72.6047       | 9     |
| 1.5509     | 1.1463          | 19.0189    | 63.5927       | 10    |
| 1.5020     | 1.0996          | 23.1860    | 58.4813       | 11    |
| 1.4594     | 1.0486          | 26.1471    | 48.928        | 12    |
| 1.4189     | 1.0032          | 29.5029    | 46.51         | 13    |
| 1.3797     | 0.9643          | 28.5808    | 51.1693       | 14    |
| 1.3424     | 0.9228          | 31.3484    | 44.4947       | 15    |
| 1.3069     | 0.8842          | 32.6825    | 43.118        | 16    |
| 1.2721     | 0.8469          | 34.1900    | 39.7847       | 17    |
| 1.2400     | 0.8131          | 37.7316    | 37.6427       | 18    |
| 1.2089     | 0.7768          | 38.1373    | 39.624        | 19    |
| 1.1777     | 0.7420          | 39.2405    | 38.632        | 20    |
| 1.1491     | 0.7107          | 41.4665    | 39.07         | 21    |
| 1.1201     | 0.6841          | 42.0981    | 37.5293       | 22    |
| 1.0935     | 0.6517          | 44.3574    | 37.2947       | 23    |
| 1.0662     | 0.6261          | 44.9906    | 36.896        | 24    |
| 1.0406     | 0.5984          | 44.4437    | 38.0973       | 25    |
| 1.0155     | 0.5733          | 46.5144    | 38.4787       | 26    |
| 0.9921     | 0.5473          | 49.0599    | 36.1127       | 27    |
| 0.9694     | 0.5221          | 48.0559    | 35.8107       | 28    |
| 0.9451     | 0.4991          | 50.8444    | 36.3347       | 29    |
| 0.9230     | 0.4764          | 54.6054    | 36.1353       | 30    |
| 0.9013     | 0.4551          | 55.3687    | 35.1893       | 31    |
| 0.8796     | 0.4334          | 56.5136    | 35.306        | 32    |
| 0.8584     | 0.4142          | 57.7579    | 34.8267       | 33    |
| 0.8389     | 0.3952          | 60.2306    | 34.3993       | 34    |
| 0.8183     | 0.3756          | 61.8027    | 34.33         | 35    |
| 0.7991     | 0.3579          | 63.0070    | 34.856        | 36    |
| 0.7813     | 0.3435          | 64.1917    | 34.7053       | 37    |
| 0.7627     | 0.3228          | 65.5474    | 34.3607       | 38    |
| 0.7457     | 0.3107          | 66.7479    | 34.4573       | 39    |
| 0.7271     | 0.2929          | 68.3215    | 34.0347       | 40    |
| 0.7106     | 0.2778          | 69.6132    | 34.7493       | 41    |
| 0.6934     | 0.2646          | 70.9478    | 33.9867       | 42    |


### Framework versions

- Transformers 4.26.1
- TensorFlow 2.11.0
- Datasets 2.9.0
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "model-index": [{"name": "mpham8/opus-mt-en-ROMANCE-finetuned-bam-to-fr-finetuned-bam-to-fr", "results": []}]}
transformers tf tensorboard marian text2text-generation generated_from_keras_callback license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #tf #tensorboard #marian #text2text-generation #generated_from_keras_callback #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 

mpham8/opus-mt-en-ROMANCE-finetuned-bam-to-fr-finetuned-bam-to-fr
=================================================================


This model is a fine-tuned version of mpham8/opus-mt-en-ROMANCE-finetuned-bam-to-fr on an unknown dataset.
It achieves the following results on the evaluation set:


* Train Loss: 0.6934
* Validation Loss: 0.2646
* Train Bleu: 70.9478
* Train Gen Len: 33.9867
* Epoch: 42


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:


* optimizer: {'name': 'AdamWeightDecay', 'learning\_rate': 2e-05, 'decay': 0.0, 'beta\_1': 0.9, 'beta\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight\_decay\_rate': 0.01}
* training\_precision: float32


### Training results



### Framework versions


* Transformers 4.26.1
* TensorFlow 2.11.0
* Datasets 2.9.0
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* optimizer: {'name': 'AdamWeightDecay', 'learning\_rate': 2e-05, 'decay': 0.0, 'beta\_1': 0.9, 'beta\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight\_decay\_rate': 0.01}
* training\_precision: float32 ### Training results ### Framework versions


* Transformers 4.26.1
* TensorFlow 2.11.0
* Datasets 2.9.0
* Tokenizers 0.13.2
TAGS
#transformers #tf #tensorboard #marian #text2text-generation #generated_from_keras_callback #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* optimizer: {'name': 'AdamWeightDecay', 'learning\_rate': 2e-05, 'decay': 0.0, 'beta\_1': 0.9, 'beta\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight\_decay\_rate': 0.01}
* training\_precision: float32 ### Training results ### Framework versions


* Transformers 4.26.1
* TensorFlow 2.11.0
* Datasets 2.9.0
* Tokenizers 0.13.2
TAGS
#transformers #tf #tensorboard #marian #text2text-generation #generated_from_keras_callback #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* optimizer: {'name': 'AdamWeightDecay', 'learning\_rate': 2e-05, 'decay': 0.0, 'beta\_1': 0.9, 'beta\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight\_decay\_rate': 0.01}
* training\_precision: float32### Training results### Framework versions


* Transformers 4.26.1
* TensorFlow 2.11.0
* Datasets 2.9.0
* Tokenizers 0.13.2