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Llama-3.1-8B-CP-Test – AI Model by decryptellix | AlphaNeural AI
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Llama-3.1-8B-CP-Test
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transformers
tensorboard
safetensors
llama
text-generation
generated_from_trainer
meta-llama/Llama-3.1-8B
finetune
llama3.1
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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Llama-3.1-8B-CP-Test
This model is a fine-tuned version of
meta-llama/Meta-Llama-3.1-8B
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.5411
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: 0.00076
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 3
total_train_batch_size: 24
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
training_steps: 10
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
3.1171
0.0003
10
2.5411
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cu124
Datasets 3.1.0
Tokenizers 0.21.1
