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zephyr-7b-wpo-lora – AI Model by Wenboz | AlphaNeural AI
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zephyr-7b-wpo-lora
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peft
safetensors
llama
alignment-handbook
trl
dpo
generated_from_trainer
princeton-nlp/Llama-3-Base-8B-SFT
adapter
us
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zephyr-7b-wpo-lora
This model is a fine-tuned version of
princeton-nlp/Llama-3-Base-8B-SFT
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6932
Rewards/chosen: -0.0018
Rewards/rejected: -0.0016
Rewards/accuracies: 0.4844
Rewards/margins: -0.0002
Logps/rejected: -331.1234
Logps/chosen: -317.9713
Logps/ref Response: -0.5450
Logits/rejected: -0.5459
Logits/chosen: -0.5457
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: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 4
total_train_batch_size: 64
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
Training results
Framework versions
PEFT 0.7.1
Transformers 4.44.2
Pytorch 2.2.1+cu121
Datasets 2.14.6
Tokenizers 0.19.1
