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LlaMa_3.1_8B – AI Model by nitinnovtech-ai-space | AlphaNeural AI
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LlaMa_3.1_8B
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peft
safetensors
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sft
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meta-llama/Llama-3.1-8B
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llama3.1
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LlaMa_3.1_8B
This model is a fine-tuned version of
meta-llama/Meta-Llama-3.1-8B
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5818
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: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
training_steps: 450
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.7086
0.0615
100
0.6413
0.6102
0.1229
200
0.6121
0.596
0.1844
300
0.5943
0.5438
0.2459
400
0.5818
Framework versions
PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1
