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llama3-8b-math-sft-subtask-10-subset – AI Model by Dynosaur | AlphaNeural AI

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Dynosaur/
llama3-8b-math-sft-subtask-10-subset

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text-generation

generated_from_trainer

Dynosaur/llama3-8b-math-sft

autotrain_compatible

text-generation-inference

endpoints_compatible

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llama3-8b-math-sft-subtask-10-subset

This model is a fine-tuned version of Dynosaur/llama3-8b-math-sft on an unknown 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