metadata

base_model: alignment-handbook/zephyr-7b-sft-full
datasets:
  - generation/UF
library_name: peft
license: apache-2.0
tags:
  - alignment-handbook
  - trl
  - dpo
  - generated_from_trainer
model-index:
  - name: zephyr-dpo-qlora-uf-ours-5e-7-epoch1
    results: []

zephyr-dpo-qlora-uf-ours-5e-7-epoch1

This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the generation/UF dataset. It achieves the following results on the evaluation set:

Loss: 0.6853
Rewards/chosen: 0.0412
Rewards/rejected: 0.0193
Rewards/accuracies: 0.5880
Rewards/margins: 0.0219
Rewards/margins Max: 0.1290
Rewards/margins Min: -0.0714
Rewards/margins Std: 0.0669
Logps/rejected: -256.6506
Logps/chosen: -280.4748
Logits/rejected: -2.7413
Logits/chosen: -2.7795

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-07
train_batch_size: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 2
total_train_batch_size: 16
total_eval_batch_size: 16
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

Training Loss	Epoch	Step	Validation Loss	Rewards/chosen	Rewards/rejected	Rewards/accuracies	Rewards/margins	Rewards/margins Max	Rewards/margins Min	Rewards/margins Std	Logps/rejected	Logps/chosen	Logits/rejected	Logits/chosen
0.6803	0.28	100	0.6908	0.0154	0.0089	0.5800	0.0065	0.0406	-0.0225	0.0210	-257.6936	-283.0562	-2.7654	-2.8039
0.6568	0.56	200	0.6869	0.0391	0.0218	0.5960	0.0173	0.1025	-0.0572	0.0531	-256.3947	-280.6796	-2.7494	-2.7877
0.6398	0.85	300	0.6854	0.0408	0.0192	0.5900	0.0216	0.1281	-0.0713	0.0665	-256.6587	-280.5105	-2.7434	-2.7814

Framework versions

PEFT 0.7.1
Transformers 4.39.0.dev0
Pytorch 2.1.2+cu121
Datasets 2.14.6
Tokenizers 0.15.2