This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0241
Rewards/chosen: -1.3913
Rewards/rejected: -26.2733
Rewards/accuracies: 0.9940
Rewards/margins: 24.8821
Logps/rejected: -348.4335
Logps/chosen: -162.1273
Logits/rejected: -2.3713
Logits/chosen: -2.5987

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: 4
total_train_batch_size: 16
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Rewards/chosen	Rewards/rejected	Rewards/accuracies	Rewards/margins	Logps/rejected	Logps/chosen	Logits/rejected	Logits/chosen
0.0268	0.72	500	0.0314	-0.9700	-9.7922	0.9960	8.8222	-183.6220	-157.9143	-2.2332	-2.4086
0.0022	1.44	1000	0.0229	-1.6108	-24.5526	0.9960	22.9418	-331.2263	-164.3232	-2.4361	-2.6330

Framework versions

Transformers 4.36.1
Pytorch 2.0.1+cu117
Datasets 2.16.1
Tokenizers 0.15.0

weijie210/IKEA-7b-UC-0

IKEA-7b-UC-0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

weijie210/
IKEA-7b-UC-0