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finetune_with_lora – AI Model by ruibin-wang | AlphaNeural AI

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ruibin-wang/
finetune_with_lora

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text-generation

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

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finetune_with_lora

This model is a fine-tuned version of ruibin-wang/llama-7b-hf on the customized 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: 0.0001
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
total_train_batch_size: 2
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10.0

Training results

Framework versions

Transformers 4.28.0.dev0
Pytorch 1.13.1
Datasets 2.10.1
Tokenizers 0.13.3