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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].

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