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results – AI Model by Fralet | AlphaNeural AI
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peft
safetensors
adapter
lora
transformers
unsloth
text-generation
Fralet/DDeduPModelv7-DPO-QualityAligned-Merged
apache-2.0
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This model is a fine-tuned version of
Fralet/DDeduPModelv7-DPO-QualityAligned-Merged
on the None dataset. It achieves the following results on the evaluation set:
Loss: nan
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-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 2
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
training_steps: 200
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.0
0.0153
100
nan
0.0
0.0306
200
nan
Framework versions
PEFT 0.17.1
Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
