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llama3-8b-math-sft-subtask-8 – AI Model by Dynosaur | AlphaNeural AI
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Dynosaur
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llama3-8b-math-sft-subtask-8
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transformers
tensorboard
safetensors
llama
text-generation
alignment-handbook
trl
sft
generated_from_trainer
conversational
Dynosaur/math-sft-subtask-8
Dynosaur/llama3-8b-math-sft
finetune
llama3
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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llama3-8b-math-sft-subtask-8
This model is a fine-tuned version of
Dynosaur/llama3-8b-math-sft
on the Dynosaur/math-sft-subtask-8 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: 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_ratio: 0.1
num_epochs: 2
Training results
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1
