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goatV9-QLORA-GPTQ – AI Model by abeiler | AlphaNeural AI
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abeiler
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goatV9-QLORA-GPTQ
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meta-llama/Llama-2-7b-hf
finetune
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goatV9-QLORA-GPTQ
This model is a fine-tuned version of
meta-llama/Llama-2-7b-hf
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.3702
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: 2
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Framework versions
Transformers 4.33.0
Pytorch 2.0.0
Datasets 2.12.0
Tokenizers 0.13.3
