This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-qlora on the ilharco/altruism_1k dataset. It achieves the following results on the evaluation set:

Loss: 0.0420
Rewards/chosen: -5.5143
Rewards/rejected: -13.0608
Rewards/accuracies: 0.9949
Rewards/margins: 7.5465
Logps/rejected: -1865.7168
Logps/chosen: -1348.6318
Logits/rejected: -2.6274
Logits/chosen: -2.6531

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: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 4
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
0.1963	0.51	100	0.1328	-1.0972	-3.5537	1.0	2.4565	-915.0070	-906.9143	-2.8398	-2.8256

Framework versions

PEFT 0.7.1
Transformers 4.36.2
Pytorch 2.1.2
Datasets 2.14.6
Tokenizers 0.15.2

ilharco/altruistic-zephyr-7b-sft-qlora

zephyr-7b-dpo-qlora

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

ilharco/
altruistic-zephyr-7b-sft-qlora