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folio_gemma-2-2b-it-star-mixed_direct-OP-final_v2_10-2-3Rounds-iter-2 – AI Model by lihux | AlphaNeural AI
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folio_gemma-2-2b-it-star-mixed_direct-OP-final_v2_10-2-3Rounds-iter-2
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safetensors
gemma2
text-generation
alignment-handbook
trl
sft
generated_from_trainer
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folio_gemma-2-2b-it-star-mixed_direct-OP-final_v2_10-2-3Rounds-iter-2
This model was trained from scratch 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: 5e-06
train_batch_size: 2
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 16
total_train_batch_size: 64
total_eval_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
num_epochs: 2
Training results
Framework versions
Transformers 4.48.2
Pytorch 2.6.0+cu124
Datasets 4.8.2
Tokenizers 0.21.0
