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

Loss: 0.0236
Rewards/chosen: 0.5600
Rewards/rejected: -3.3438
Rewards/accuracies: 1.0
Rewards/margins: 3.9038
Logps/rejected: -542.8434
Logps/chosen: -74.4535
Logits/rejected: -3.2030
Logits/chosen: -2.7110

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	Validation Loss	Rewards/chosen	Rewards/rejected	Rewards/accuracies	Rewards/margins	Logps/rejected	Logps/chosen	Logits/rejected	Logits/chosen
0.039	0.35	100	0.0525	0.5119	-2.4372	1.0	2.9492	-452.1829	-79.2593	-3.2065	-2.7171
0.0106	0.7	200	0.0236	0.5600	-3.3438	1.0	3.9038	-542.8434	-74.4535	-3.2030	-2.7110

Framework versions

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

EllieS/zephyr-dpo-timedial-selfgen-mix

zephyr-dpo-timedial-selfgen-mix

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

EllieS/
zephyr-dpo-timedial-selfgen-mix