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llama-8b-wiki10-31k-adapt – AI Model by deb101 | AlphaNeural AI
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deb101
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llama-8b-wiki10-31k-adapt
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peft
safetensors
adapter
lora
transformers
text-generation
conversational
meta-llama/Llama-3.1-8B-Instruct
llama3.1
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llama-8b-wiki10-31k-adapt
This model is a fine-tuned version of
meta-llama/Llama-3.1-8B-Instruct
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.7863
Model Preparation Time: 0.0
Accuracy: 0.5846
Perplexity: 5.9649
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: 8
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Model Preparation Time
Accuracy
Perplexity
1.9559
1.0
2593
1.7863
0.0
0.5846
5.9649
Framework versions
PEFT 0.20.0
Transformers 4.49.0
Pytorch 2.7.0
Datasets 5.0.1
Tokenizers 0.21.4
