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

# mbart

This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.5342
- Validation Loss: 0.5633
- Epoch: 35

## 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': 'SGD', 'learning_rate': 0.01, 'decay': 0.0, 'momentum': 0.9, 'nesterov': False}
- training_precision: mixed_bfloat16

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 4.5626     | 3.7843          | 0     |
| 2.5836     | 1.9212          | 1     |
| 1.6546     | 1.2552          | 2     |
| 1.2499     | 1.0248          | 3     |
| 1.0088     | 0.8457          | 4     |
| 0.9100     | 0.7958          | 5     |
| 0.8290     | 0.8421          | 6     |
| 0.7999     | 0.7625          | 7     |
| 0.7633     | 0.7202          | 8     |
| 0.7439     | 0.7100          | 9     |
| 0.7182     | 0.6787          | 10    |
| 0.7092     | 0.6877          | 11    |
| 0.6823     | 0.6684          | 12    |
| 0.6738     | 0.6712          | 13    |
| 0.6603     | 0.6858          | 14    |
| 0.6462     | 0.6268          | 15    |
| 0.6373     | 0.6208          | 16    |
| 0.6424     | 0.6735          | 17    |
| 0.6259     | 0.6423          | 18    |
| 0.6249     | 0.6069          | 19    |
| 0.6148     | 0.6510          | 20    |
| 0.6063     | 0.6207          | 21    |
| 0.5987     | 0.5977          | 22    |
| 0.5917     | 0.6019          | 23    |
| 0.5800     | 0.5828          | 24    |
| 0.5779     | 0.5505          | 25    |
| 0.5765     | 0.5887          | 26    |
| 0.5667     | 0.5989          | 27    |
| 0.5623     | 0.5859          | 28    |
| 0.5564     | 0.5907          | 29    |
| 0.5523     | 0.5928          | 30    |
| 0.5478     | 0.5624          | 31    |
| 0.5472     | 0.5563          | 32    |
| 0.5462     | 0.5953          | 33    |
| 0.5324     | 0.5593          | 34    |
| 0.5342     | 0.5633          | 35    |


### Framework versions

- Transformers 4.19.2
- TensorFlow 2.8.0
- Datasets 2.2.1
- Tokenizers 0.12.1

{"tags": ["generated_from_keras_callback"], "model-index": [{"name": "mbart", "results": []}]}
transformers tf mbart text2text-generation generated_from_keras_callback autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #tf #mbart #text2text-generation #generated_from_keras_callback #autotrain_compatible #endpoints_compatible #region-us 

mbart
=====


This model is a fine-tuned version of facebook/mbart-large-50 on an unknown dataset.
It achieves the following results on the evaluation set:


* Train Loss: 0.5342
* Validation Loss: 0.5633
* Epoch: 35


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': 'SGD', 'learning\_rate': 0.01, 'decay': 0.0, 'momentum': 0.9, 'nesterov': False}
* training\_precision: mixed\_bfloat16


### Training results



### Framework versions


* Transformers 4.19.2
* TensorFlow 2.8.0
* Datasets 2.2.1
* Tokenizers 0.12.1



### Training hyperparameters


The following hyperparameters were used during training:


* optimizer: {'name': 'SGD', 'learning\_rate': 0.01, 'decay': 0.0, 'momentum': 0.9, 'nesterov': False}
* training\_precision: mixed\_bfloat16 ### Training results ### Framework versions


* Transformers 4.19.2
* TensorFlow 2.8.0
* Datasets 2.2.1
* Tokenizers 0.12.1
TAGS
#transformers #tf #mbart #text2text-generation #generated_from_keras_callback #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* optimizer: {'name': 'SGD', 'learning\_rate': 0.01, 'decay': 0.0, 'momentum': 0.9, 'nesterov': False}
* training\_precision: mixed\_bfloat16 ### Training results ### Framework versions


* Transformers 4.19.2
* TensorFlow 2.8.0
* Datasets 2.2.1
* Tokenizers 0.12.1
passage: TAGS
#transformers #tf #mbart #text2text-generation #generated_from_keras_callback #autotrain_compatible #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* optimizer: {'name': 'SGD', 'learning\_rate': 0.01, 'decay': 0.0, 'momentum': 0.9, 'nesterov': False}
* training\_precision: mixed\_bfloat16### Training results### Framework versions


* Transformers 4.19.2
* TensorFlow 2.8.0
* Datasets 2.2.1
* Tokenizers 0.12.1