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dmWM-meta-llama-Llama-3.2-1B-Instruct-ft-OpenMathInstruct-AlpacaGPT4 – AI Model by Grogros | AlphaNeural AI
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Grogros
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dmWM-meta-llama-Llama-3.2-1B-Instruct-ft-OpenMathInstruct-AlpacaGPT4
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transformers
tensorboard
safetensors
llama
text-generation
generated_from_trainer
meta-llama/Llama-3.2-1B-Instruct
finetune
llama3.2
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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dmWM-meta-llama-Llama-3.2-1B-Instruct-ft-OpenMathInstruct-AlpacaGPT4
This model is a fine-tuned version of
meta-llama/Llama-3.2-1B-Instruct
on the None 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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
training_steps: 2500
Training results
Framework versions
Transformers 4.47.1
Pytorch 2.4.1.post302
Datasets 3.0.1
Tokenizers 0.21.0
