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# facebook-nllb-200-distilled-600M-en-pl-yhavinga-ccmatrix-finetune

This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) on the ccmatrix 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: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.1
- Datasets 2.10.1
- Tokenizers 0.13.2

{"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "datasets": ["ccmatrix"], "model-index": [{"name": "facebook-nllb-200-distilled-600M-en-pl-yhavinga-ccmatrix-finetune", "results": []}]}
transformers pytorch tensorboard m2m_100 text2text-generation generated_from_trainer dataset:ccmatrix license:cc-by-nc-4.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #m2m_100 #text2text-generation #generated_from_trainer #dataset-ccmatrix #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #region-us 




# facebook-nllb-200-distilled-600M-en-pl-yhavinga-ccmatrix-finetune

This model is a fine-tuned version of facebook/nllb-200-distilled-600M on the ccmatrix 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: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.1
- Datasets 2.10.1
- Tokenizers 0.13.2

# facebook-nllb-200-distilled-600M-en-pl-yhavinga-ccmatrix-finetune

This model is a fine-tuned version of facebook/nllb-200-distilled-600M on the ccmatrix 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: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
- mixed_precision_training: Native AMP ### Training results ### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.1
- Datasets 2.10.1
- Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #m2m_100 #text2text-generation #generated_from_trainer #dataset-ccmatrix #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #region-us 
 # facebook-nllb-200-distilled-600M-en-pl-yhavinga-ccmatrix-finetune

This model is a fine-tuned version of facebook/nllb-200-distilled-600M on the ccmatrix 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: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
- mixed_precision_training: Native AMP ### Training results ### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.1
- Datasets 2.10.1
- Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #m2m_100 #text2text-generation #generated_from_trainer #dataset-ccmatrix #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #region-us 
# facebook-nllb-200-distilled-600M-en-pl-yhavinga-ccmatrix-finetune

This model is a fine-tuned version of facebook/nllb-200-distilled-600M on the ccmatrix 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: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
- mixed_precision_training: Native AMP### Training results### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.1
- Datasets 2.10.1
- Tokenizers 0.13.2