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# nllb-200-distilled-600M-73K-en-to-dz

This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.2736
- eval_bleu: 3.5332
- eval_gen_len: 16.3464
- eval_runtime: 380.9485
- eval_samples_per_second: 19.283
- eval_steps_per_second: 1.208
- epoch: 3.0
- step: 12396

## 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: 5
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3

{"license": "cc-by-nc-4.0", "tags": ["translation", "generated_from_trainer"], "model-index": [{"name": "nllb-200-distilled-600M-73K-en-to-dz", "results": []}]}
transformers pytorch tensorboard m2m_100 text2text-generation translation generated_from_trainer license:cc-by-nc-4.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #m2m_100 #text2text-generation #translation #generated_from_trainer #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #region-us 




# nllb-200-distilled-600M-73K-en-to-dz

This model is a fine-tuned version of facebook/nllb-200-distilled-600M on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.2736
- eval_bleu: 3.5332
- eval_gen_len: 16.3464
- eval_runtime: 380.9485
- eval_samples_per_second: 19.283
- eval_steps_per_second: 1.208
- epoch: 3.0
- step: 12396

## 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: 5
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3

# nllb-200-distilled-600M-73K-en-to-dz

This model is a fine-tuned version of facebook/nllb-200-distilled-600M on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.2736
- eval_bleu: 3.5332
- eval_gen_len: 16.3464
- eval_runtime: 380.9485
- eval_samples_per_second: 19.283
- eval_steps_per_second: 1.208
- epoch: 3.0
- step: 12396 ## 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: 5
- mixed_precision_training: Native AMP ### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
TAGS
#transformers #pytorch #tensorboard #m2m_100 #text2text-generation #translation #generated_from_trainer #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #region-us 
 # nllb-200-distilled-600M-73K-en-to-dz

This model is a fine-tuned version of facebook/nllb-200-distilled-600M on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.2736
- eval_bleu: 3.5332
- eval_gen_len: 16.3464
- eval_runtime: 380.9485
- eval_samples_per_second: 19.283
- eval_steps_per_second: 1.208
- epoch: 3.0
- step: 12396 ## 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: 5
- mixed_precision_training: Native AMP ### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3