This model is a fine-tuned version of EllieS/zephyr-7b-sft-qlora on the EllieS/pubmedqa_dpo_selfgen_data dataset. It achieves the following results on the evaluation set:

Loss: 0.0027
Rewards/chosen: -1.9349
Rewards/rejected: -10.4879
Rewards/accuracies: 1.0
Rewards/margins: 8.5530
Logps/rejected: -1094.3392
Logps/chosen: -260.5620
Logits/rejected: -2.3781
Logits/chosen: -2.6042

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: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 2
total_train_batch_size: 8
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	Logps/rejected	Logps/chosen	Logits/rejected	Logits/chosen
0.023	0.42	7000	0.0164	-1.0835	-8.5927	1.0	7.5092	-904.8198	-175.4290	-2.8442	-2.8776
0.0052	0.83	14000	0.0026	-1.9746	-10.4931	1.0	8.5185	-1094.8602	-264.5324	-2.3838	-2.6053

Framework versions

PEFT 0.7.1
Transformers 4.36.2
Pytorch 2.1.2+cu121
Datasets 2.14.6
Tokenizers 0.15.2

EllieS/zephyr-7b-dpo-lora-pubmedqa-selfgen-old

zephyr-7b-dpo-lora-pubmedqa-selfgen-old

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

EllieS/
zephyr-7b-dpo-lora-pubmedqa-selfgen-old