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WeniGPT-2.4.3-Zephyr-7B-zephyr-prompt-LLM_Base_2.0.3_DPO_reduction_variation – AI Model by Weni | AlphaNeural AI
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WeniGPT-2.4.3-Zephyr-7B-zephyr-prompt-LLM_Base_2.0.3_DPO_reduction_variation
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WeniGPT-2.4.3-Zephyr-7B-zephyr-prompt-LLM_Base_2.0.3_DPO_reduction_variation
This model is a fine-tuned version of
Weni/WeniGPT-2.2.3-Zephyr-7B-merged-LLM_Base_2.0.3_SFT
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6931
Rewards/chosen: 0.0
Rewards/rejected: 0.0
Rewards/accuracies: 0.0
Rewards/margins: 0.0
Logps/rejected: -204.7329
Logps/chosen: -64.3550
Logits/rejected: -2.0322
Logits/chosen: -1.6462
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: 0.0002
train_batch_size: 8
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
training_steps: 1
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.8.2
Transformers 4.39.0.dev0
Pytorch 2.1.0+cu118
Datasets 2.17.1
Tokenizers 0.15.1
