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

Loss: 0.0055
Rewards/chosen: 0.4843
Rewards/rejected: -5.0618
Rewards/accuracies: 1.0
Rewards/margins: 5.5461
Logps/rejected: -740.9361
Logps/chosen: -96.9992
Logits/rejected: -3.1155
Logits/chosen: -2.6815

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
0.0166	0.35	100	0.0198	0.4885	-3.4443	1.0	3.9328	-579.1801	-96.5815	-3.1058	-2.6808
0.0015	0.7	200	0.0055	0.4843	-5.0618	1.0	5.5461	-740.9361	-96.9992	-3.1155	-2.6815

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

zephyr-dpo-timedial-selfgen

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

EllieS/
zephyr-dpo-timedial-selfgen