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# ar2enCkptfromgendata

This model is a fine-tuned version of [Botnoi/ckpt_marian_mt_ar_en_health](https://huggingface.co/Botnoi/ckpt_marian_mt_ar_en_health) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.6314
- eval_bleu: 58.9030
- eval_runtime: 9.7332
- eval_samples_per_second: 25.788
- eval_steps_per_second: 1.644
- epoch: 3.0
- step: 111

## 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: 3
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2

{"tags": ["translation", "generated_from_trainer"], "model-index": [{"name": "ar2enCkptfromgendata", "results": []}]}
transformers pytorch marian text2text-generation translation generated_from_trainer autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #marian #text2text-generation #translation #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 




# ar2enCkptfromgendata

This model is a fine-tuned version of Botnoi/ckpt_marian_mt_ar_en_health on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.6314
- eval_bleu: 58.9030
- eval_runtime: 9.7332
- eval_samples_per_second: 25.788
- eval_steps_per_second: 1.644
- epoch: 3.0
- step: 111

## 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: 3
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2

# ar2enCkptfromgendata

This model is a fine-tuned version of Botnoi/ckpt_marian_mt_ar_en_health on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.6314
- eval_bleu: 58.9030
- eval_runtime: 9.7332
- eval_samples_per_second: 25.788
- eval_steps_per_second: 1.644
- epoch: 3.0
- step: 111 ## 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: 3
- mixed_precision_training: Native AMP ### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
TAGS
#transformers #pytorch #marian #text2text-generation #translation #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 
 # ar2enCkptfromgendata

This model is a fine-tuned version of Botnoi/ckpt_marian_mt_ar_en_health on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.6314
- eval_bleu: 58.9030
- eval_runtime: 9.7332
- eval_samples_per_second: 25.788
- eval_steps_per_second: 1.644
- epoch: 3.0
- step: 111 ## 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: 3
- mixed_precision_training: Native AMP ### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
TAGS
#transformers #pytorch #marian #text2text-generation #translation #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 
# ar2enCkptfromgendata

This model is a fine-tuned version of Botnoi/ckpt_marian_mt_ar_en_health on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.6314
- eval_bleu: 58.9030
- eval_runtime: 9.7332
- eval_samples_per_second: 25.788
- eval_steps_per_second: 1.644
- epoch: 3.0
- step: 111## 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: 3
- mixed_precision_training: Native AMP### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2