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# ParroT-7b

This model is a fine-tuned version of LLaMA-7b on human written translations and evaluation data, for only research use. 

For more details, please refer to the github repo: [[ParroT]](https://github.com/wxjiao/ParroT).

## 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: 4
- eval_batch_size: 4
- seed: 1
- distributed_type: multi-GPU
- num_devices: 32
- total_train_batch_size: 128
- total_eval_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3.0

### Training results



### Framework versions

- Transformers 4.27.0.dev0
- Pytorch 1.10.0
- Datasets 2.10.0
- Tokenizers 0.13.2

{"tags": ["generated_from_trainer"], "model-index": [{"name": "ParroT-7b", "results": []}]}
transformers pytorch llama text-generation generated_from_trainer autotrain_compatible endpoints_compatible has_space text-generation-inference region:us
TAGS
#transformers #pytorch #llama #text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 




# ParroT-7b

This model is a fine-tuned version of LLaMA-7b on human written translations and evaluation data, for only research use. 

For more details, please refer to the github repo: [[ParroT]](URL

## 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: 4
- eval_batch_size: 4
- seed: 1
- distributed_type: multi-GPU
- num_devices: 32
- total_train_batch_size: 128
- total_eval_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3.0

### Training results



### Framework versions

- Transformers 4.27.0.dev0
- Pytorch 1.10.0
- Datasets 2.10.0
- Tokenizers 0.13.2

# ParroT-7b

This model is a fine-tuned version of LLaMA-7b on human written translations and evaluation data, for only research use. 

For more details, please refer to the github repo: [[ParroT]](URL ## 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: 4
- eval_batch_size: 4
- seed: 1
- distributed_type: multi-GPU
- num_devices: 32
- total_train_batch_size: 128
- total_eval_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3.0 ### Training results ### Framework versions

- Transformers 4.27.0.dev0
- Pytorch 1.10.0
- Datasets 2.10.0
- Tokenizers 0.13.2
TAGS
#transformers #pytorch #llama #text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 
 # ParroT-7b

This model is a fine-tuned version of LLaMA-7b on human written translations and evaluation data, for only research use. 

For more details, please refer to the github repo: [[ParroT]](URL ## 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: 4
- eval_batch_size: 4
- seed: 1
- distributed_type: multi-GPU
- num_devices: 32
- total_train_batch_size: 128
- total_eval_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3.0 ### Training results ### Framework versions

- Transformers 4.27.0.dev0
- Pytorch 1.10.0
- Datasets 2.10.0
- Tokenizers 0.13.2
TAGS
#transformers #pytorch #llama #text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 
# ParroT-7b

This model is a fine-tuned version of LLaMA-7b on human written translations and evaluation data, for only research use. 

For more details, please refer to the github repo: [[ParroT]](URL## 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: 4
- eval_batch_size: 4
- seed: 1
- distributed_type: multi-GPU
- num_devices: 32
- total_train_batch_size: 128
- total_eval_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3.0### Training results### Framework versions

- Transformers 4.27.0.dev0
- Pytorch 1.10.0
- Datasets 2.10.0
- Tokenizers 0.13.2