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pgml-qa-llama2-7b-chat – AI Model by santiadavani | AlphaNeural AI

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santiadavani/
pgml-qa-llama2-7b-chat

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meta-llama/Llama-2-7b-chat-hf

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pgml-qa-llama2-7b-chat

This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the generator 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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20000

Training results

Framework versions

PEFT 0.7.1
Transformers 4.38.1
Pytorch 2.1.2+cu121
Datasets 2.15.0
Tokenizers 0.15.0