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# mbart-large-cc25-ind_finetun-hi-to-en

This model is a fine-tuned version of [facebook/mbart-large-cc25](https://huggingface.co/facebook/mbart-large-cc25) on the hindi_english_machine_translation dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4042
- Bleu: 15.9135
- Gen Len: 70.155

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 2.3854        | 1.0   | 620  | 1.4042          | 15.9135 | 70.155  |


### Framework versions

- Transformers 4.19.1
- Pytorch 1.11.0+cu102
- Datasets 1.18.0
- Tokenizers 0.12.1

{"tags": ["generated_from_trainer"], "datasets": ["hindi_english_machine_translation"], "metrics": ["bleu"], "model-index": [{"name": "mbart-large-cc25-ind_finetun-hi-to-en", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name": "hindi_english_machine_translation", "type": "hindi_english_machine_translation", "args": "hi-en"}, "metrics": [{"type": "bleu", "value": 15.9135, "name": "Bleu"}]}]}]}
transformers pytorch tensorboard mbart text2text-generation generated_from_trainer dataset:hindi_english_machine_translation model-index autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #mbart #text2text-generation #generated_from_trainer #dataset-hindi_english_machine_translation #model-index #autotrain_compatible #endpoints_compatible #region-us 

mbart-large-cc25-ind\_finetun-hi-to-en
======================================


This model is a fine-tuned version of facebook/mbart-large-cc25 on the hindi\_english\_machine\_translation dataset.
It achieves the following results on the evaluation set:


* Loss: 1.4042
* Bleu: 15.9135
* Gen Len: 70.155


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: 2e-05
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 1


### Training results



### Framework versions


* Transformers 4.19.1
* Pytorch 1.11.0+cu102
* Datasets 1.18.0
* Tokenizers 0.12.1



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 1 ### Training results ### Framework versions


* Transformers 4.19.1
* Pytorch 1.11.0+cu102
* Datasets 1.18.0
* Tokenizers 0.12.1
TAGS
#transformers #pytorch #tensorboard #mbart #text2text-generation #generated_from_trainer #dataset-hindi_english_machine_translation #model-index #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 1 ### Training results ### Framework versions


* Transformers 4.19.1
* Pytorch 1.11.0+cu102
* Datasets 1.18.0
* Tokenizers 0.12.1
passage: TAGS
#transformers #pytorch #tensorboard #mbart #text2text-generation #generated_from_trainer #dataset-hindi_english_machine_translation #model-index #autotrain_compatible #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 1### Training results### Framework versions


* Transformers 4.19.1
* Pytorch 1.11.0+cu102
* Datasets 1.18.0
* Tokenizers 0.12.1