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llama3_1_truth_model_check – AI Model by Ogamon | AlphaNeural AI
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llama3_1_truth_model_check
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transformers
safetensors
llama
text-generation
llama-factory
full
generated_from_trainer
conversational
meta-llama/Llama-3.1-8B-Instruct
finetune
other
autotrain_compatible
text-generation-inference
endpoints_compatible
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Model card
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train_2024-07-29-16-36-04_llama3.1_reeval
This model is a fine-tuned version of
meta-llama/Meta-Llama-3.1-8B-Instruct
on the truth_train 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: 5e-06
train_batch_size: 2
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 8
total_train_batch_size: 128
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 10
num_epochs: 5.0
Training results
Framework versions
Transformers 4.43.3
Pytorch 2.3.0a0+ebedce2
Datasets 2.20.0
Tokenizers 0.19.1
