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Gemma-7B-It-ORPO-SFT – AI Model by chchen | AlphaNeural AI
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chchen
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Gemma-7B-It-ORPO-SFT
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peft
safetensors
llama-factory
lora
generated_from_trainer
google/gemma-7b-it
adapter
gemma
us
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Gemma-7B-It-ORPO-SFT
This model is a fine-tuned version of
google/gemma-7b-it
on the bct_non_cot_sft_1000 dataset. It achieves the following results on the evaluation set:
Loss: 0.0962
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: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 0.1
num_epochs: 3.0
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.10.0
Transformers 4.40.1
Pytorch 2.3.0
Datasets 2.19.0
Tokenizers 0.19.1
