This model is a fine-tuned version of EllieS/zephyr-dpo-timedial-selfgen on the EllieS/timedial_dpo dataset. It achieves the following results on the evaluation set:

Logits/chosen: -2.8807
Logits/rejected: -2.8679
Logps/chosen: -6.8403
Logps/rejected: -132.2824
Loss: 0.2588
Rewards/accuracies: 1.0
Rewards/chosen: 0.2087
Rewards/margins: 1.2287
Rewards/rejected: -1.0200

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: 2
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 2
total_train_batch_size: 4
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	Logits/chosen	Logits/rejected	Logps/chosen	Logps/rejected	Validation Loss	Rewards/accuracies	Rewards/chosen	Rewards/margins	Rewards/rejected
0.4825	0.35	100	-2.9715	-2.9751	-4.6766	-60.5070	0.4632	1.0	0.2303	0.5325	-0.3022
0.2786	0.69	200	-2.8807	-2.8679	-6.8403	-132.2824	0.2588	1.0	0.2087	1.2287	-1.0200

Framework versions

PEFT 0.7.1
Transformers 4.39.0.dev0
Pytorch 2.1.2+cu121
Datasets 2.18.0
Tokenizers 0.15.2

EllieS/zephyr-dpo-timedial-selfgen-mix2

zephyr-dpo-timedial-selfgen-mix2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

EllieS/
zephyr-dpo-timedial-selfgen-mix2