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# mbart-large-cc25-finetuned-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.

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.18.0
- Pytorch 1.11.0+cu102
- Datasets 1.18.0
- Tokenizers 0.12.1

{"tags": ["generated_from_trainer"], "datasets": ["hindi_english_machine_translation"], "model-index": [{"name": "mbart-large-cc25-finetuned-hi-to-en", "results": []}]}
transformers pytorch tensorboard mbart text2text-generation generated_from_trainer dataset:hindi_english_machine_translation autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #mbart #text2text-generation #generated_from_trainer #dataset-hindi_english_machine_translation #autotrain_compatible #endpoints_compatible #region-us 




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

This model is a fine-tuned version of facebook/mbart-large-cc25 on the hindi_english_machine_translation dataset.

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.18.0
- Pytorch 1.11.0+cu102
- Datasets 1.18.0
- Tokenizers 0.12.1

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

This model is a fine-tuned version of facebook/mbart-large-cc25 on the hindi_english_machine_translation dataset. ## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP ### Training results ### Framework versions

- Transformers 4.18.0
- 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 #autotrain_compatible #endpoints_compatible #region-us 
 # mbart-large-cc25-finetuned-hi-to-en

This model is a fine-tuned version of facebook/mbart-large-cc25 on the hindi_english_machine_translation dataset. ## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP ### Training results ### Framework versions

- Transformers 4.18.0
- 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 #autotrain_compatible #endpoints_compatible #region-us 
# mbart-large-cc25-finetuned-hi-to-en

This model is a fine-tuned version of facebook/mbart-large-cc25 on the hindi_english_machine_translation dataset.## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP### Training results### Framework versions

- Transformers 4.18.0
- Pytorch 1.11.0+cu102
- Datasets 1.18.0
- Tokenizers 0.12.1