metadata
library_name: peft
license: apache-2.0
base_model: Fralet/DDeduPModelv7-DPO-QualityAligned-Merged
tags:
- base_model:adapter:Fralet/DDeduPModelv7-DPO-QualityAligned-Merged
- lora
- transformers
- unsloth
pipeline_tag: text-generation
model-index:
- name: results
results: []
results
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