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llama-2-7B-Guanaco-QLoRA-AWQ – AI Model by pjherron | AlphaNeural AI
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pjherron
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llama-2-7B-Guanaco-QLoRA-AWQ
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tensorboard
safetensors
generated_from_trainer
emotion
TheBloke/llama-2-7B-Guanaco-QLoRA-AWQ
finetune
llama2
us
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llama-2-7B-Guanaco-QLoRA-AWQ
This model is a fine-tuned version of
TheBloke/llama-2-7B-Guanaco-QLoRA-AWQ
on the emotion 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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP
label_smoothing_factor: 0.1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
No log
1.0
250
1.6793
0.3225
0.2723
Framework versions
Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1
