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Grogros-gpt2-kgw-k1-delta2.0-logitDistill-OpenMathInstruct – AI Model by Grogros | AlphaNeural AI
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Grogros
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Grogros-gpt2-kgw-k1-delta2.0-logitDistill-OpenMathInstruct
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transformers
tensorboard
safetensors
gpt2
text-generation
generated_from_trainer
Grogros/gpt2-kgw-k1-delta2.0-logitDistill
finetune
autotrain_compatible
text-generation-inference
endpoints_compatible
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Grogros-gpt2-kgw-k1-delta2.0-logitDistill-OpenMathInstruct
This model is a fine-tuned version of
Grogros/gpt2-kgw-k1-delta2.0-logitDistill
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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
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 4.46.3
Pytorch 2.5.1.post303
Datasets 3.2.0
Tokenizers 0.20.4
